
Michael Felsberg
Professor, Head of Division
My research covers a wide range of topics within artificial visual systems (AVS): three-dimensional computer vision, computational imaging, object detection, tracking, and recognition, and robot vision and autonomous systems.
- Recent preprints
- Conference papers
- Journal papers
- Books
- Collections (editor)
- Proceedings (editor)
- Book chapters
- Datasets
- Reports
- Preprints
- In compilation thesis
Publication list
Recent preprints
2025
Alkis Sygkounas, Ioannis Athanasiadis, Andreas Persson, Michael Felsberg, Amy Loutfi, Interactive Double Deep Q-network: Integrating Human Interventions and Evaluative Predictions in Reinforcement Learning of Autonomous Driving (2025) https://arxiv.org/abs/2505.01440
Ioannis Athanasiadis, Anmar Karmush, Michael Felsberg, Model Stitching by Functional Latent Alignment (2025) https://arxiv.org/abs/2505.20142
Jie Zhao, Xin Chen, Yongsheng Yuan, Michael Felsberg, Dong Wang, Huchuan Lu, Efficient Motion Prompt Learning for Robust Visual Tracking (2025) https://arxiv.org/abs/2505.16321
Johan Edstedt, Georg Bökman, Mårten Wadenbäck, Michael Felsberg, DaD: Distilled Reinforcement Learning for Diverse Keypoint Detection (2025) https://arxiv.org/abs/2503.07347
Pourya Shamsolmoali, Masoumeh Zareapoor, Huiyu Zhou, Michael Felsberg, Dacheng Tao, Xuelong Li, From Missing Pieces to Masterpieces: Image Completion with Context-Adaptive Diffusion (2025) https://arxiv.org/abs/2504.14294
William Ljungbergh, Adam Lilja, Adam Tonderski. Arvid Laveno Ling, Carl Lindström, Willem Verbeke, Junsheng Fu, Christoffer Petersson, Lars Hammarstrand, Michael Felsberg, GASP: Unifying Geometric and Semantic Self-Supervised Pre-training for Autonomous Driving (2025) https://arxiv.org/abs/2503.15672
William Ljungbergh, Bernardo Taveira, Wenzhao Zheng, Adam Tonderski, Chensheng Peng, Fredrik Kahl, Christoffer Petersson, Michael Felsberg, Kurt Keutzer, Masayoshi Tomizuka, Wei Zhan, R3D2: Realistic 3D Asset Insertion via Diffusion for Autonomous Driving Simulation (2025) https://arxiv.org/abs/2506.07826
2024
Arvi Jonnarth, Ola Johansson, Michael Felsberg, Sim-to-Real Transfer of Deep Reinforcement Learning Agents for Online Coverage Path Planning (2024) https://arxiv.org/abs/2406.04920
Ashmal Vayani, Dinura Dissanayake, Hasindri Watawana, Noor Ahsan, Nevasini Sasikumar, Omkar Thawakar, Henok Biadglign Ademtew, Yahya Hmaiti, Amandeep Kumar, Kartik Kuckreja, Mykola Maslych, Wafa Al Ghallabi, Mihail Mihaylov, Chao Qin, Abdelrahman M Shaker, Mike Zhang, Mahardika Krisna Ihsani, Amiel Esplana, Monil Gokani, Shachar Mirkin, Harsh Singh, Ashay Srivastava, Endre Hamerlik, Fathinah Asma Izzati, Fadillah Adamsyah Maani, Sebastian Cavada, Jenny Chim, Rohit Gupta, Sanjay Manjunath, Kamila Zhumakhanova, Feno Heriniaina Rabevohitra, Azril Amirudin, Muhammad Ridzuan, Daniya Kareem, Ketan More, Kunyang Li, Pramesh Shakya, Muhammad Saad, Amirpouya Ghasemaghaei, Amirbek Djanibekov, Dilshod Azizov, Branislava Jankovic, Naman Bhatia, Alvaro Cabrera, Johan Obando-Ceron, Olympiah Otieno, Fabian Farestam, Muztoba Rabbani, Sanoojan Baliah, Santosh Sanjeev, Abduragim Shtanchaev, Maheen Fatima, Thao Nguyen, Amrin Kareem, Toluwani Aremu, Nathan Xavier, Amit Bhatkal, Hawau Toyin, Aman Chadha, Hisham Cholakkal, Rao Muhammad Anwer, Michael Felsberg, Jorma Laaksonen, Thamar Solorio, Monojit Choudhury, Ivan Laptev, Mubarak Shah, Salman Khan, Fahad Khan, All Languages Matter: Evaluating LMMs on Culturally Diverse 100 Languages (2024) https://arxiv.org/abs/2411.16508
Georg Bökman, Johan Edstedt, Michael Felsberg, Fredrik Kahl, Affine steerers for structured keypoint description (2024) https://arxiv.org/abs/2408.14186
Ioannis Athanasiadis, Fredrik Lindsten, Michael Felsberg, Prior Learning in Introspective VAEs (2024) https://arxiv.org/abs/2408.13805
Muhammad Maaz, Hanoona Rasheed, Abdelrahman Shaker, Salman Khan, Hisham Cholakal, Rao M. Anwer, Tim Baldwin, Michael Felsberg, Fahad S. Khan, PALO: A Polyglot Large Multimodal Model for 5B People (2024) https://arxiv.org/abs/2402.14818
Nathaniel Helgesen, Michael Felsberg, Jan-Åke Larsson, Boosting the Validity of Multi-Class Quantum Outputs: Living on the Edge (2024) https://arxiv.org/abs/2406.04944
Omkar Thawakar, Ashmal Vayani, Salman Khan, Hisham Cholakal, Rao M. Anwer, Michael Felsberg, Tim Baldwin, Eric P. Xing, Fahad Shahbaz Khan, MobiLlama: Towards Accurate and Lightweight Fully Transparent GPT (2024) https://arxiv.org/abs/2402.16840
Omkar Thawakar, Muzammal Naseer, Rao Muhammad Anwer, Salman Khan, Michael Felsberg, Mubarak Shah, Fahad Shahbaz Khan, Composed Video Retrieval via Enriched Context and Discriminative Embeddings (2024) https://arxiv.org/abs/2403.16997
Pourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger, Michael Felsberg, SeTformer is What You Need for Vision and Language (2024) https://arxiv.org/abs/2401.03540
William Ljungbergh, Adam Tonderski, Joakim Johnander, Holger Caesar, Kalle Åström, Michael Felsberg, Christoffer Petersson, NeuroNCAP: Photorealistic Closed-loop Safety Testing for Autonomous Driving (2024) https://arxiv.org/abs/2404.07762
Yushan Zhang, Bastian Wandt, Maria Magnusson, Michael Felsberg, DiffSF: Diffusion Models for Scene Flow Estimation (2024) https://arxiv.org/abs/2403.05327
Conference papers
2025
Georg Bokman, Johan Edstedt, Michael Felsberg, Fredrik Kahl, Affine Steerers for Structured Keypoint Description, COMPUTER VISION - ECCV 2024, PT LXXXVI, Lecture Notes in Computer Science, pp. 449-468, SPRINGER INTERNATIONAL PUBLISHING AG (2025)
https://doi.org/10.1007/978-3-031-73016-0_26
William Ljungbergh, Adam Tonderski, Joakim Johnander, Holger Caesar, Kalle Astrom, Michael Felsberg, Christoffer Petersson, NeuroNCAP: Photorealistic Closed-Loop Safety Testing for Autonomous Driving, COMPUTER VISION - ECCV 2024, PT XXX, Lecture Notes in Computer Science, pp. 161-177, SPRINGER INTERNATIONAL PUBLISHING AG (2025)
https://doi.org/10.1007/978-3-031-73404-5_10
2024
Arvi Jonnarth, Jie Zhao, Michael Felsberg, Learning Coverage Paths in Unknown Environments with Deep Reinforcement Learning, Proceedings of the 41st International Conference on Machine Learning, Ruslan Salakhutdinov, Zico Kolter, Katherine Heller, Adrian Weller, Nuria Oliver, Jonathan Scarlett, Felix Berkenkamp (eds.), Proceedings of Machine Learning Research, pp. 22491-22508, PMLR (2024)
Arvi Jonnarth, Yushan Zhang, Michael Felsberg, High-fidelity Pseudo-labels for Boosting Weakly-Supervised Segmentation, 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), pp. 999-1008, Institute of Electrical and Electronics Engineers (IEEE) (2024)
https://doi.org/10.1109/WACV57701.2024.00105
https://arxiv.org/abs/2304.02621
Emanuel Sanchez Aimar, Nathaniel Helgesen, Yonghao Xu, Marco Kuhlmann, Michael Felsberg, Flexible Distribution Alignment, Computer Vision – ECCV 2024, Aleš Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol (eds.), Lecture Notes in Computer Science, pp. 307-327, Springer Nature Switzerland (2024)
https://doi.org/10.1007/978-3-031-72949-2_18
Georg Bokman, Johan Edstedt, Michael Felsberg, Fredrik Kahl, Steerers: A framework for rotation equivariant keypoint descriptors, 2024 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, CVPR 2024, IEEE Conference on Computer Vision and Pattern Recognition, pp. 4885-4895, IEEE COMPUTER SOC (2024)
https://doi.org/10.1109/CVPR52733.2024.00467
Jie Zhao, Johan Edstedt, Michael Felsberg, Dong Wang, Huchuan Lu, Leveraging the Power of Data Augmentation for Transformer-based Tracking, 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), IEEE Winter Conference on Applications of Computer Vision, pp. 6455-6464, Institute of Electrical and Electronics Engineers (IEEE) (2024)
https://doi.org/10.1109/wacv57701.2024.00634
Johan Edstedt, Georg Bökman, Mårten Wadenbäck, Michael Felsberg, DeDoDe: Detect, Don’t Describe — Describe, Don’t Detect for Local Feature Matching, 2024 International Conference on 3D Vision (3DV), 2024 International Conference on 3D Vision (3DV), Institute of Electrical and Electronics Engineers (IEEE) (2024)
https://doi.org/10.1109/3dv62453.2024.00035
https://arxiv.org/abs/2308.08479
Johan Edstedt, Qiyu Sun, Georg Bökman, Mårten Wadenbäck, Michael Felsberg, RoMa: Robust Dense Feature Matching, 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Conference on Computer Vision and Pattern Recognition (CVPR), pp. 19790-19800, Institute of Electrical and Electronics Engineers (IEEE) (2024)
https://doi.org/10.1109/CVPR52733.2024.01871
https://arxiv.org/abs/2305.15404
Omkar Thawakar, Muzammal Naseer, Rao Muhammad Anwer, Salman Khan, Michael Felsberg, Mubarak Shah, Fahad Khan, Composed Video Retrieval via Enriched Context and Discriminative Embeddings, 2024 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), IEEE Conference on Computer Vision and Pattern Recognition, pp. 26886-26896, IEEE COMPUTER SOC (2024)
https://doi.org/10.1109/CVPR52733.2024.02540
Pavlo Melnyk, Michael Felsberg, Mårten Wadenbäck, Andreas Robinson, Cuong Le, On Learning Deep O(n)-Equivariant Hyperspheres, Proceedings of the 41st International Conference on Machine Learning, Salakhutdinov, Ruslan and Kolter, Zico and Heller, Katherine and Weller, Adrian and Oliver, Nuria and Scarlett, Jonathan and Berkenkamp, Felix (eds.), Proceedings of Machine Learning Research, pp. 35324-35339, PMLR (2024)
https://arxiv.org/abs/2305.15613
Pavlo Melnyk, Andreas Robinson, Michael Felsberg, Mårten Wadenbäck, TetraSphere: A Neural Descriptor for O(3)-Invariant Point Cloud Analysis, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). June 2024, IEEE Conference on Computer Vision and Pattern Recognition, pp. 5620-5630, IEEE Computer Society (2024)
https://doi.org/10.1109/CVPR52733.2024.00537
https://arxiv.org/abs/2211.14456
Pourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger, Michael Felsberg, SeTformer Is What You Need for Vision and Language, THIRTY-EIGHTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 38 NO 5, AAAI Conference on Artificial Intelligence, pp. 4713-4721, ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE (2024)
https://doi.org/10.1609/aaai.v38i5.28272
2023
Emanuel Sanchez Aimar, Arvi Jonnarth, Michael Felsberg, Marco Kuhlmann, Balanced Product of Calibrated Experts for Long-Tailed Recognition, 2023 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), IEEE Conference on Computer Vision and Pattern Recognition, pp. 19967-19977, IEEE COMPUTER SOC (2023)
https://doi.org/10.1109/CVPR52729.2023.01912
Johan Edstedt, Ioannis Athanasiadis, Mårten Wadenbäck, Michael Felsberg, DKM: Dense Kernelized Feature Matching for Geometry Estimation, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Proceedings:IEEE Conference on Computer Vision and Pattern Recognition, pp. 17765-17775, IEEE Communications Society (2023)
https://doi.org/10.1109/cvpr52729.2023.01704
https://arxiv.org/abs/2202.00667
Karl Holmquist, Lena Klasén, Michael Felsberg, Evidential Deep Learning for Class-Incremental Semantic Segmentation, Image Analysis. SCIA 2023., Rikke Gade, Michael Felsberg, Joni-Kristian Kämäräinen (eds.), Lecture Notes in Computer Science, pp. 32-48, Springer (2023)
https://doi.org/10.1007/978-3-031-31438-4_3
M. Kristan, A. Leonardis, J. Matas, Michael Felsberg, R. Pflugfelder, J.-K. Kämäräinen, H.J. Chang, M. Danelljan, L.C. Zajc, A. Lukežic, O. Drbohlav, J. Björklund, Yushan Zhang, Z. Zhang, S. Yan, W. Yang, D. Cai, C. Mayer, G. Fernández, K. Ben, G. Bhat, H. Chang, G. Chen, J. Chen, S. Chen, X. Chen, X. Chen, X. Chen, Y. Chen, Y.-H. Chen, Z. Chen, Y. Cheng, A. Ciaramella, Y. Cui, B. Džubur, M.M. Dasari, Q. Deng, D. Dhar, S. Di, E.D. Nardo, D.K. Du, M. Dunnhofer, H. Fan, Z. Feng, Z. Fu, S. Gao, R.K. Gorthi, E. Granger, Q.H. Gu, H. Gupta, J. He, K. He, Y. Huang, D. Jangid, R. Ji, C. Jiang, Y. Jiang, Felix Järemo-Lawin, Z. Kang, M. Kiran, J. Kittler, S. Lai, X. Lan, D. Lee, H. Lee, S. Lee, H. Li, M. Li, W. Li, X. Li, X. Li, X. Li, Z. Li, L. Lin, H. Ling, B. Liu, C. Liu, S. Liu, H. Lu, R.M.O. Cruz, B. Ma, C. Ma, J. Ma, Y. Ma, N. Martinel, A. Memarmoghadam, C. Micheloni, P. Moallem, L.T. Nguyen-Meidine, S. Pan, C.B. Park, D. Paudel, M. Paul, H. Peng, Andreas Robinson, L. Rout, S. Shan, K. Simonato, T. Song, X. Song, C. Sun, J. Sun, Z. Tang, R. Timofte, C.-Y. Tsai, L.V. Gool, O.P. Verma, D. Wang, F. Wang, L. Wang, L. Wang, L. Wang, L. Wang, Q. Wang, G. Wu, J. Wu, X. Wu, F. Xie, T. Xu, W. Xu, Y. Xu, Y. Xu, W. Xue, Z. Xun, B. Yan, D. Yang, J. Yang, W. Yang, X. Yang, Y. Yang, Y. Yang, Z. Yang, B. Ye, F. Yu, H. Yu, J. Yu, Q. Yu, W. Yu, K. Ze, J. Zhai, C. Zhang, C. Zhang, K. Zhang, T. Zhang, W. Zhang, Z. Zhang, Z. Zhang, J. Zhao, S. Zhao, F. Zheng, H. Zheng, M. Zheng, B. Zhong, J. Zhu, X. Zhu, Y. Zhuang, The Tenth Visual Object Tracking VOT2022 Challenge Results, Computer Vision – ECCV 2022 Workshops, Leonid Karlinsky, Tomer Michaeli, Ko Nishino (eds.), Lecture Notes in Computer Science, pp. 431-460, Springer Science and Business Media Deutschland GmbH (2023)
https://doi.org/10.1007/978-3-031-25085-9_25
Matej Kristan, Jiri Matas, Martin Danelljan, Michael Felsberg, Hyung Jin Chang, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Zhongqun Zhang, Khanh-Tung Tran, Xuan-Son Vu, Johanna Bjorklund, Christoph Mayer, Yushan Zhang, Lei Ke, Jie Zhao, Gustavo Fernandez, Noor Al-Shakarji, Dong An, Michael Arens, Stefan Becker, Goutam Bhat, Sebastian Bullinger, Antoni B. Chan, Shijie Chang, Hanyuan Chen, Xin Chen, Yan Chen, Zhenyu Chen, Yangming Cheng, Yutao Cui, Chunyuan Deng, Jiahua Dong, Matteo Dunnhofer, Wei Feng, Jianlong Fu, Jie Gao, Ruize Han, Zeqi Hao, Jun-Yan He, Keji He, Zhenyu He, Xiantao Hu, Kaer Huang, Yuqing Huang, Yi Jiang, Ben Kang, Jin-Peng Lan, Hyungjun Lee, Chenyang Li, Jiahao Li, Ning Li, Wangkai Li, Xiaodi Li, Xin Li, Pengyu Liu, Yue Liu, Huchuan Lu, Bin Luo, Ping Luo, Yinchao Ma, Deshui Miao, Christian Micheloni, Kannappan Palaniappan, Hancheol Park, Matthieu Paul, HouWen Peng, Zekun Qian, Gani Rahmon, Norbert Scherer-Negenborn, Pengcheng Shao, Wooksu Shin, Elham Soltani Kazemi, Tianhui Song, Rainer Stiefelhagen, Rui Sun, Chuanming Tang, Zhangyong Tang, Imad Eddine Toubal, Jack Valmadre, Joost van de Weijer, Luc Van Gool, Jash Vira, Stephane Vujasinovic, Cheng Wan, Jia Wan, Dong Wang, Fei Wang, Feifan Wang, He Wang, Limin Wang, Song Wang, Yaowei Wang, Zhepeng Wang, Gangshan Wu, Jiannan Wu, Qiangqiang Wu, Xiaojun Wu, Anqi Xiao, Jinxia Xie, Chenlong Xu, Min Xu, Tianyang Xu, Yuanyou Xu, Bin Yan, Dawei Yang, Ming-Hsuan Yang, Tianyu Yang, Yi Yang, Zongxin Yang, Xuanwu Yin, Fisher Yu, Hongyuan Yu, Qianjin Yu, Weichen Yu, YongSheng Yuan, Zehuan Yuan, Jianlin Zhang, Lu Zhang, Tianzhu Zhang, Guodongfang Zhao, Shaochuan Zhao, Yaozong Zheng, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu, Yueting Zhuang, ChengAo Zong, Kunlong Zuo, The First Visual Object Tracking Segmentation VOTS2023 Challenge Results, 2023 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS, ICCVW, IEEE International Conference on Computer Vision Workshops, pp. 1788-1810, IEEE COMPUTER SOC (2023)
https://doi.org/10.1109/ICCVW60793.2023.00195
William Ljungbergh, Joakim Johnander, Christoffer Petersson, Michael Felsberg, Raw or Cooked?, Image Analysis, Rikke Gade, Michael Felsberg, Joni-Kristian Kämäräinen (eds.), Lecture Notes in Computer Science, pp. 374-385, Springer (2023)
https://doi.org/10.1007/978-3-031-31435-3_25
https://arxiv.org/abs/2301.08965
Yushan Zhang, Andreas Robinson, Maria Magnusson, Michael Felsberg, Leveraging Optical Flow Features for Higher Generalization Power in Video Object Segmentation, 2023 IEEEInternational Conferenceon Image Processing, pp. 326-330, IEEE (2023)
https://doi.org/10.1109/ICIP49359.2023.10222542
Yushan Zhang, Johan Edstedt, Bastian Wandt, Per-Erik Forssén, Maria Magnusson, Michael Felsberg, GMSF: Global Matching Scene Flow, ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 36 (NEURIPS 2023), Advances in Neural Information Processing Systems, NEURAL INFORMATION PROCESSING SYSTEMS (NIPS) (2023)
2022
Ankan Kumar Bhunia, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Khan, Jorma Laaksonen, Michael Felsberg, DoodleFormer: Creative Sketch Drawing with Transformers, COMPUTER VISION - ECCV 2022, PT XVII, Lecture Notes in Computer Science, pp. 338-355, SPRINGER INTERNATIONAL PUBLISHING AG (2022)
https://doi.org/10.1007/978-3-031-19790-1_21
Arvi Jonnarth, Michael Felsberg, IMPORTANCE SAMPLING CAMS FOR WEAKLY-SUPERVISED SEGMENTATION, 2022 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), International Conference on Acoustics Speech and Signal Processing ICASSP, pp. 2639-2643, IEEE (2022)
https://doi.org/10.1109/ICASSP43922.2022.9746641
https://arxiv.org/abs/2203.12459
Joakim Johnander, Johan Edstedt, Michael Felsberg, Fahad Khan, Martin Danelljan, Dense Gaussian Processes for Few-Shot Segmentation, COMPUTER VISION, ECCV 2022, PT XXIX, Lecture Notes in Computer Science, pp. 217-234, SPRINGER INTERNATIONAL PUBLISHING AG (2022)
https://doi.org/10.1007/978-3-031-19818-2_13
Johan Edstedt, Amanda Berg, Michael Felsberg, Johan Karlsson, Francisca Benavente, Anette Novak, Gustav Grund Pihlgren, VidHarm: A Clip Based Dataset for Harmful Content Detection, 2022 26TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), International Conference on Pattern Recognition, pp. 1543-1549, IEEE (2022)
https://doi.org/10.1109/ICPR56361.2022.9956148
Oliver Stromann, Alireza Razavi, Michael Felsberg, LEARNING TO INTEGRATE VISION DATA INTO ROAD NETWORK DATA, 2022 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), International Conference on Acoustics Speech and Signal Processing ICASSP, pp. 4548-4552, IEEE (2022)
https://doi.org/10.1109/ICASSP43922.2022.9747016
Omkar Thawakar, Sanath Narayan, Jiale Cao, Hisham Cholakkal, Rao Muhammad Anwer, Muhammad Haris Khan, Salman Khan, Michael Felsberg, Fahad Khan, Video Instance Segmentation via Multi-Scale Spatio-Temporal Split Attention Transformer, COMPUTER VISION, ECCV 2022, PT XXIX, Lecture Notes in Computer Science, pp. 666-681, SPRINGER INTERNATIONAL PUBLISHING AG (2022)
https://doi.org/10.1007/978-3-031-19818-2_38
Pavlo Melnyk, Michael Felsberg, Mårten Wadenbäck, Steerable 3D Spherical Neurons, Proceedings of the 39th International Conference on Machine Learning, Kamalika Chaudhuri, Stefanie Jegelka, Le Song, Csaba Szepesvari, Gang Niu, Sivan Sabato (eds.), Proceedings of Machine Learning Research, pp. 15330-15339, PMLR (2022)
https://arxiv.org/abs/2106.13863
2021
Abdelrahman Eldesokey, Michael Felsberg, Normalized Convolution Upsampling for Refined Optical Flow Estimation, Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP, pp. 742-752, SciTePress (2021)
https://doi.org/10.5220/0010343707420752
Andreas Robinson, Abdelrahman Eldesokey, Michael Felsberg, Distractor-aware video object segmentation, Pattern Recognition. DAGM GCPR 2021, Lecture Notes in Computer Science, pp. 222-234 (2021)
https://doi.org/10.1007/978-3-030-92659-5_14
Emil Brissman, Joakim Johnander, Michael Felsberg, Predicting Signed Distance Functions for Visual Instance Segmentation, 33rd Annual Workshop of the Swedish-Artificial-Intelligence-Society (SAIS), Annual Workshop of the Swedish-Artificial-Intelligence-Society (SAIS), pp. 5-10, Institute of Electrical and Electronics Engineers (IEEE) (2021)
https://doi.org/10.1109/SAIS53221.2021.9484039
Gustav Häger, Mikael Persson, Michael Felsberg, Predicting Disparity Distributions, 2021 IEEE International Conference on Robotics and Automation (ICRA), IEEE International Conference on Robotics and Automation (ICRA), IEEE (2021)
https://doi.org/10.1109/ICRA48506.2021.9561617
Joakim Johnander, Emil Brissman, Martin Danelljan, Michael Felsberg, Video Instance Segmentation with Recurrent Graph Neural Networks, Pattern Recognition, Bauckhage C., Gall J., Schwing A. (eds.), Lecture Notes in Computer Science, pp. 206-221, Springer (2021)
https://doi.org/10.1007/978-3-030-92659-5_13
Karl Holmquist, Lena Klasén, Michael Felsberg, Class-Incremental Learning for Semantic Segmentation - A study, 2021 Swedish Artificial Intelligence Society Workshop (SAIS), pp. 25-28, IEEE (2021)
https://doi.org/10.1109/sais53221.2021.9483955
Matej Kristan, Jiri Matas, Ales Leonardis, Michael Felsberg, Roman Pflugfelder, Joni-Kristian Kamarainen, Hyung Jin Chang, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Jani Kapyla, Gustav Häger, Song Yan, Jinyu Yang, Zhongqun Zhang, Gustavo Fernandez, Mohamed Abdelpakey, Goutam Bhat, Llukman Cerkezi, Hakan Cevikalp, Shengyong Chen, Xin Chen, Miao Cheng, Ziyi Cheng, Yu-Chen Chiu, Ozgun Cirakman, Yutao Cui, Kenan Dai, Mohana Murali Dasari, Qili Deng, Xingping Dong, Daniel K. Du, Matteo Dunnhofer, Zhen-Hua Feng, Zhiyong Feng, Zhihong Fu, Shiming Ge, Rama Krishna Gorthi, Yuzhang Gu, Bilge Gunsel, Qing Guo, Filiz Gurkan, Wencheng Han, Yanyan Huang, Felix Järemo-Lawin, Shang-Jhih Jhang, Rongrong Ji, Cheng Jiang, Yingjie Jiang, Felix Juefei-Xu, Yin Jun, Xiao Ke, Fahad Shahbaz Khan, Byeong Hak Kim, Josef Kittler, Xiangyuan Lan, Jun Ha Lee, Bastian Leibe, Hui Li, Jianhua Li, Xianxian Li, Yuezhou Li, Bo Liu, Chang Liu, Jingen Liu, Li Liu, Qingjie Liu, Huchuan Lu, Wei Lu, Jonathon Luiten, Jie Ma, Ziang Ma, Niki Martinel, Christoph Mayer, Alireza Memarmoghadam, Christian Micheloni, Yuzhen Niu, Danda Paudel, Houwen Peng, Shoumeng Qiu, Aravindh Rajiv, Muhammad Rana, Andreas Robinson, Hasan Saribas, Ling Shao, Mohamed Shehata, Furao Shen, Jianbing Shen, Kristian Simonato, Xiaoning Song, Zhangyong Tang, Radu Timofte, Philip Torr, Chi-Yi Tsai, Bedirhan Uzun, Luc Van Gool, Paul Voigtlaender, Dong Wang, Guangting Wang, Liangliang Wang, Lijun Wang, Limin Wang, Linyuan Wang, Yong Wang, Yunhong Wang, Chenyan Wu, Gangshan Wu, Xiao-Jun Wu, Fei Xie, Tianyang Xu, Xiang Xu, Wanli Xue, Bin Yan, Wankou Yang, Xiaoyun Yang, Yu Ye, Jun Yin, Chengwei Zhang, Chunhui Zhang, Haitao Zhang, Kaihua Zhang, Kangkai Zhang, Xiaohan Zhang, Xiaolin Zhang, Xinyu Zhang, Zhibin Zhang, Shaochuan Zhao, Ming Zhen, Bineng Zhong, Jiawen Zhu, Xue-Feng Zhu, The Ninth Visual Object Tracking VOT2021 Challenge Results, 2021 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCVW 2021), IEEE International Conference on Computer Vision Workshops, pp. 2711-2738, IEEE COMPUTER SOC (2021)
https://doi.org/10.1109/ICCVW54120.2021.00305
Pavlo Melnyk, Michael Felsberg, Mårten Wadenbäck, Embed Me If You Can: A Geometric Perceptron, Proceedings 2021 IEEE/CVF International Conference on Computer Vision ICCV 2021, IEEE International Conference on Computer Vision. Proceedings, pp. 1256-1264, Institute of Electrical and Electronics Engineers (IEEE) (2021)
https://doi.org/10.1109/iccv48922.2021.00131
https://arxiv.org/abs/2006.06507
Zahra Gharaee, Karl Holmquist, Linbo He, Michael Felsberg, A Bayesian Approach to Reinforcement Learning of Vision-Based Vehicular Control, 2020 25TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), International Conference on Pattern Recognition, pp. 3947-3954, IEEE COMPUTER SOC (2021)
https://doi.org/10.1109/ICPR48806.2021.9412200
https://arxiv.org/abs/2104.03807
2020
Abdelrahman Eldesokey, Michael Felsberg, Karl Holmquist, Mikael Persson, Uncertainty-Aware CNNs for Depth Completion, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Conference on Computer Vision and Pattern Recognition (CVPR), pp. 12011-12020, IEEE (2020)
https://doi.org/10.1109/CVPR42600.2020.01203
Amanda Berg, Jörgen Ahlberg, Michael Felsberg, Unsupervised Adversarial Learning of Anomaly Detection in the Wild, Proceedings of the 24th European Conference on Artificial Intelligence (ECAI), Giuseppe De Giacomo, Alejandro Catala, Bistra Dilkina, Michela Milano, Senén Barro, Alberto Bugarín, Jérôme Lang (eds.), Frontiers in Artificial Intelligence and Applications, pp. 1002-1008, IOS Press, Amsterdam (2020)
https://doi.org/10.3233/FAIA200194
Andreas Robinson, Felix Järemo-Lawin, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg, Learning Fast and Robust Target Models for Video Object Segmentation, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Computer Society Conference on Computer Vision and Pattern Recognition, pp. 7404-7413, IEEE (2020)
https://doi.org/10.1109/CVPR42600.2020.00743
Bhat Goutam, Felix Järemo-Lawin, Martin Danelljan, Andreas Robinson, Michael Felsberg, Luc Van Gool, Radu Timofte, Learning What to Learn for Video Object Segmentation, Computer Vision, Vedaldi A., Bischof H., Brox T., Frahm JM (eds.), Lecture Notes in Computer Science, pp. 777-794 (2020)
https://doi.org/10.1007/978-3-030-58536-5_46
M. Kristan, A. Leonardis, J. Matas, Michael Felsberg, R. Pflugfelder, J.-K. Kämäräinen, M. Danelljan, L.C. Zajc, A. Lukežic, O. Drbohlav, Linbo He, Yushan Zhang, S. Yan, J. Yang, G. Fernández, A. Hauptmann, A. Memarmoghadam, Á. García-Martín, Andreas Robinson, A. Varfolomieiev, A.H. Gebrehiwot, B. Uzun, B. Yan, B. Li, C. Qian, C.-Y. Tsai, C. Micheloni, D. Wang, F. Wang, F. Xie, Felix Järemo-Lawin, F. Gustafsson, G.L. Foresti, G. Bhat, G. Chen, H. Ling, H. Zhang, H. Cevikalp, H. Zhao, H. Bai, H.C. Kuchibhotla, H. Saribas, H. Fan, H. Ghanei-Yakhdan, H. Li, H. Peng, H. Lu, H. Li, J. Khaghani, J. Bescos, J. Li, J. Fu, J. Yu, J. Xu, J. Kittler, J. Yin, J. Lee, K. Yu, K. Liu, K. Yang, K. Dai, L. Cheng, L. Zhang, L. Wang, L. Wang, Gool L. Van, L. Bertinetto, M. Dunnhofer, M. Cheng, M.M. Dasari, N. Wang, N. Wang, P. Zhang, P.H.S. Torr, Q. Wang, R. Timofte, R.K.S. Gorthi, S. Choi, S.M. Marvasti-Zadeh, S. Zhao, S. Kasaei, S. Qiu, S. Chen, T.B. Schön, T. Xu, W. Lu, W. Hu, W. Zhou, X. Qiu, X. Ke, X.-J. Wu, X. Zhang, X. Yang, X. Zhu, Y. Jiang, Y. Wang, Y. Chen, Y. Ye, Y. Li, Y. Yao, Y. Lee, Y. Gu, Z. Wang, Z. Tang, Z.-H. Feng, Z. Mai, Z. Zhang, Z. Wu, Z. Ma, The Eighth Visual Object Tracking VOT2020 Challenge Results, Computer Vision, Adrien Bartoli; Andrea Fusiello (ed.), Lecture Notes in Computer Science, pp. 547-601 (2020)
https://doi.org/10.1007/978-3-030-68238-5_39
2019
Abdelrahman Eldesokey, Michael Felsberg, Fahad Shahbaz Khan, Propagating Confidences through CNNs for Sparse Data Regression, British Machine Vision Conference 2018, BMVC 2018, BMVA Press (2019)
Amanda Berg, Joakim Johnander, Flavie Durand de Gevigney, Jörgen Ahlberg, Michael Felsberg, Semi-automatic Annotation of Objects in Visual-Thermal Video, 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), Institute of Electrical and Electronics Engineers (IEEE) (2019)
https://doi.org/10.1109/ICCVW.2019.00277
Amanda Berg, Jörgen Ahlberg, Michael Felsberg, Visual Spectrum Image Generation fromThermal Infrared, (2019)
Andreas Robinson, Felix Järemo-Lawin, Martin Danelljan, Michael Felsberg, Discriminative Learning and Target Attention for the 2019 DAVIS Challenge onVideo Object Segmentation, CVPR 2019 workshops (2019)
Joakim Johnander, Goutam Bhat, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg, On the Optimization of Advanced DCF-Trackers, Computer Vision – ECCV 2018 Workshops, Laura Leal-TaixéStefan Roth (ed.), Lecture Notes in Computer Science, pp. 54-69, Springer Publishing Company, Cham (2019)
https://doi.org/10.1007/978-3-030-11009-3_2
Joakim Johnander, Martin Danelljan, Emil Brissman, Fahad Shahbaz Khan, Michael Felsberg, A generative appearance model for end-to-end video object segmentation, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR, IEEE Conference on Computer Vision and Pattern Recognition, pp. 8945-8954, Institute of Electrical and Electronics Engineers (IEEE) (2019)
https://doi.org/10.1109/CVPR.2019.00916
Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg, ATOM: Accurate tracking by overlap maximization, 2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2019), Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online), pp. 4655-4664, IEEE (2019)
https://doi.org/10.1109/CVPR.2019.00479
Matej Kristan, Aleš Leonardis, Jirí Matas, Michael Felsberg, Roman Pflugfelder, Luka Cehovin Zajc, Tomáš Vojírì, Goutam Bhat, Alan Lukezič, Abdelrahman Eldesokey, Gustavo Fernández, Álvaro García-Martín, Álvaro Iglesias-Arias, A. Aydin Alatan, Abel González-García, Alfredo Petrosino, Alireza Memarmoghadam, Andrea Vedaldi, Andrej Muhič, Anfeng He, Arnold Smeulders, Asanka G. Perera, Bo Li, Boyu Chen, Changick Kim, Changsheng Xu, Changzhen Xiong, Cheng Tian, Chong Luo, Chong Sun, Cong Hao, Daijin Kim, Deepak Mishra, Deming Chen, Dong Wang, Dongyoon Wee, Efstratios Gavves, Erhan Gundogdu, Erik Velasco-Salido, Fahad Shahbaz Khan, Fan Yang, Fei Zhao, Feng Li, Francesco Battistone, George De Ath, Gorthi R. K. S. Subrahmanyam, Guilherme Bastos, Haibin Ling, Hamed Kiani Galoogahi, Hankyeol Lee, Haojie Li, Haojie Zhao, Heng Fan, Honggang Zhang, Horst Possegger, Houqiang Li, Huchuan Lu, Hui Zhi, Huiyun Li, Hyemin Lee, Hyung Jin Chang, Isabela Drummond, Jack Valmadre, Jaime Spencer Martin, Javaan Chahl, Jin Young Choi, Jing Li, Jinqiao Wang, Jinqing Qi, Jinyoung Sung, Joakim Johnander, Joao Henriques, Jongwon Choi, Joost van de Weijer, Jorge Rodríguez Herranz, José M. Martínez, Josef Kittler, Junfei Zhuang, Junyu Gao, Klemen Grm, Lichao Zhang, Lijun Wang, Lingxiao Yang, Litu Rout, Liu Si, Luca Bertinetto, Lutao Chu, Manqiang Che, Mario Edoardo Maresca, Martin Danelljan, Ming-Hsuan Yang, Mohamed Abdelpakey, Mohamed Shehata, Myunggu Kang, Namhoon Lee, Ning Wang, Ondrej Miksik, P. Moallem, Pablo Vicente-Moñivar, Pedro Senna, Peixia Li, Philip Torr, Priya Mariam Raju, Qian Ruihe, Qiang Wang, Qin Zhou, Qing Guo, Rafael Martín-Nieto, Rama Krishna Gorthi, Ran Tao, Richard Bowden, Richard Everson, Runling Wang, Sangdoo Yun, Seokeon Choi, Sergio Vivas, Shuai Bai, Shuangping Huang, Sihang Wu, Simon Hadfield, Siwen Wang, Stuart Golodetz, Tang Ming, Tianyang Xu, Tianzhu Zhang, Tobias Fischer, Vincenzo Santopietro, Vitomir Štruc, Wang Wei, Wangmeng Zuo, Wei Feng, Wei Wu, Wei Zou, Weiming Hu, Wengang Zhou, Wenjun Zeng, Xiaofan Zhang, Xiaohe Wu, Xiao-Jun Wu, Xinmei Tian, Yan Li, Yan Lu, Yee Wei Law, Yi Wu, Yiannis Demiris, Yicai Yang, Yifan Jiao, Yuhong Li, Yunhua Zhang, Yuxuan Sun, Zheng Zhang, Zheng Zhu, Zhen-Hua Feng, Zhihui Wang, Zhiqun He, The Sixth Visual Object Tracking VOT2018 Challenge Results, Computer Vision – ECCV 2018 Workshops, Laura Leal-Taixé and Stefan Roth (ed.), Lecture Notes in Computer Science, pp. 3-53, Springer Publishing Company, Cham (2019)
https://doi.org/10.1007/978-3-030-11009-3_1
Matej Kristanl, Jiri Matas, Ales Leonardis, Michael Felsberg, Roman Pflugfelder, Joni-Kristian Kamarainen, Luka Cehovin Zajc, Ondrej Drbohlav, Alan Lukezic, Amanda Berg, Abdelrahman Eldesokey, Jani Kapyla, Gustavo Fernandez, Abel Gonzalez-Garcia, Alireza Memarrnoghadam, Andong Lu, Anfeng He, Anton Varfolomieiev, Antoni Chan, Ardhendu Shekhar Tripathi, Arnold Smeulders, Bala Suraj Pedasingu, Bao Xin Chen, Baopeng Zhang, Baoyuan Wu, Bi Li, Bin He, Bin Yan, Bing Bai, Bing Li, Bo Li, Bycong Hak Kim, Chao Ma, Chen Fang, Chen Qian, Cheng Chen, Chenglong Li, Chengquan Zhang, Chi-Yi Tsai, Chong Luo, Christian Micheloni, Chunhui Zhang, Dacheng Tao, Deepak Gupta, Dejia Song, Dong Wang, Efstratios Gavves, Eunu Yi, Fahad Shahbaz Khan, Fangyi Zhang, Fei Wang, Fei Zhao, George De Ath, Goutam Bhat, Guanqi Chen, Guangting Wang, Guoxuan Li, Hakan Cevikalp, Hao Du, Haojie Zhao, Hasan Saribas, Ho Min Jung, Hongliang Bai, Hongyuan Yu, Houwen Peng, Huchuan Lu, Hui Li, Jiakun Li, Jianhu Li, Jianlong Fu, Jie Chen, Jie Gao, Jie Zhao, Jin Tang, Jing Li, Jingjing Wu, Jingtuo Liu, Jinqiao Wang, Jingqing Qi, Jingyue Zhang, John K. Tsotsos, John Hyuk Lee, Joost van de Weijer, Josef Kittler, Jun Ha Lee, Junfei Zhuang, Kangkai Zhang, Kangkang wang, Kenan Dai, Lei Chen, Lei Liu, Leida Guo, Li Zhang, Liang Wang, Liangliang Wang, Lichao Zhang, Lijun Wang, Lijun Zhou, Linyu Zheng, Litu Rout, Luc Van Gool, Luca Bertinetto, Martin Danelljan, Matteo Dunnhofer, Meng Ni, Min Young Kim, Ming Tang, Ming-Hsuan Yang, Naveen Paluru, Niki Martine, Pengfei Xu, Pengfei Zhang, Pengkun Zheng, Pengyu Zhang, Philip H. S. Torr, Qi Zhang Qiang Wang, Qing Gua, Radu Timofte, Rama Krishna Gorthi, Richard Everson, Ruize Han, Ruohan Zhang, Shan You, Shao-Chuan Zhao, Shengwei Zhao, Shihu Li, Shikun Li, Shiming Ge, Shuai Bai, Shuosen Guan, Tengfei Xing, Tianyang Xu, Tianyu Yang, Ting Zhang, Tomas Vojir, Wei Feng, Weiming Hu, Weizhao Wang, Wenjie Tang, Wenjun Zeng, Wenyu Liu, Xi Chen, Xi Qiu, Xiang Bai, Xiao-Jun Wu, Xiaoyun Yang, Xier Chen, Xin Li, Xing Sun, Xingyu Chen, Xinmei Tian, Xu Tang, Xue-Feng Zhu, Yan Huang, Yanan Chen, Yanchao Lian, Yang Gu, Yang Liu, Yanjie Chen, Yi Zhang, Yinda Xu, Yingming Wang, Yingping Li, Yu Zhou, Yuan Dong, Yufei Xu, Yunhua Zhang, Yunkun Li, Zeyu Wang Zhao Luo, Zhaoliang Zhang, Zhen-Hua Feng, Zhenyu He, Zhichao Song, Zhihao Chen, Zhipeng Zhang, Zhirong Wu, Zhiwei Xiong, Zhongjian Huang, Zhu Teng, Zihan Ni, The Seventh Visual Object Tracking VOT2019 Challenge Results, 2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCVW), IEEE International Conference on Computer Vision Workshops, pp. 2206-2241, IEEE COMPUTER SOC (2019)
https://doi.org/10.1109/ICCVW.2019.00276
2018
Amanda Berg, Jörgen Ahlberg, Michael Felsberg, Generating Visible Spectrum Images from Thermal Infrared, Proceedings 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops CVPRW 2018, IEEE Computer Society Conference on Computer Vision and Pattern Recognition workshops, pp. 1224-1233, Institute of Electrical and Electronics Engineers (IEEE) (2018)
https://doi.org/10.1109/CVPRW.2018.00159
Bertil Grelsson, Michael Felsberg, Improved Learning in Convolutional Neural Networks with Shifted Exponential Linear Units (ShELUs), 2018 24th International Conference on Pattern Recognition (ICPR), International Conference on Pattern Recognition, pp. 517-522, IEEE (2018)
https://doi.org/10.1109/ICPR.2018.8545104
Bertil Grelsson, Andreas Robinson, Michael Felsberg, Fahad Shahbaz Khan, HorizonNet for visual terrain navigation, Proceedings of 2018 IEEE International Conference on Image Processing, Applications and Systems (IPAS), pp. 149-155, Institute of Electrical and Electronics Engineers (IEEE) (2018)
https://doi.org/10.1109/IPAS.2018.8708868
Felix Järemo Lawin, Martin Danelljan, Fahad Shahbaz Khan, Per-Erik Forssén, Michael Felsberg, Density Adaptive Point Set Registration, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, IEEE Conference on Computer Vision and Pattern Recognition, pp. 3829-3837, IEEE (2018)
https://doi.org/10.1109/CVPR.2018.00403
Goutam Bhat, Joakim Johnander, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg, Unveiling the power of deep tracking, Computer Vision – ECCV 2018, Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu and Yair Weiss (eds.), Lecture Notes in Computer Science, pp. 493-509, Springer Publishing Company, Cham (2018)
https://doi.org/10.1007/978-3-030-01216-8_30
Goutam Bhat, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg, Combining Local and Global Models for Robust Re-detection, Proceedings of AVSS 2018. 2018 IEEE International Conference on Advanced Video and Signal-based Surveillance, Auckland, New Zealand, 27-30 November 2018, pp. 25-30, Institute of Electrical and Electronics Engineers (IEEE) (2018)
https://doi.org/10.1109/AVSS.2018.8639159
Gustav Häger, Michael Felsberg, Fahad Shahbaz Khan, Countering bias in tracking evaluations, Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, Francisco Imai, Alain Tremeau and Jose Braz (eds.), pp. 581-587, Science and Technology Publications, Lda (2018)
https://doi.org/10.5220/0006714805810587
Karl Holmquist, Deniz Senel, Michael Felsberg, Computing a Collision-Free Path using the monogenic scale space, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), International Conference on Intelligent Robots and Systems (IROS), pp. 8097-8102, IEEE (2018)
https://doi.org/10.1109/IROS.2018.8593583
2017
Abdelrahman Eldesokey, Michael Felsberg, Fahad Shahbaz Khan, Ellipse Detection for Visual Cyclists Analysis “In the Wild”, Computer Analysis of Images and Patterns, Michael Felsberg, Anders Heyden and Norbert Krüger (eds.), Lecture Notes in Computer Science, pp. 319-331, Springer (2017)
https://doi.org/10.1007/978-3-319-64689-3_26
Amanda Berg, Jörgen Ahlberg, Michael Felsberg, Object Tracking in Thermal Infrared Imagery based on Channel Coded Distribution Fields, , Svenska sällskapet för automatiserad bildanalys (SSBA) (2017)
Andreas Robinson, Mikael Persson, Michael Felsberg, Robust Accurate Extrinsic Calibration of Static Non-overlapping Cameras, Computer Analysis of Images and Patterns, Michael Felsberg, Anders Heyden and Norbert Krüger (eds.), Lecture Notes in Computer Science, pp. 342-353, Springer (2017)
https://doi.org/10.1007/978-3-319-64698-5_29
Felix Järemo-Lawin, Martin Danelljan, Patrik Tosteberg, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg, Deep Projective 3D Semantic Segmentation, Computer Analysis of Images and Patterns, Michael Felsberg, Anders Heyden and Norbert Krüger (eds.), Lecture Notes in Computer Science, pp. 95-107, Springer (2017)
https://doi.org/10.1007/978-3-319-64689-3_8
Joakim Johnander, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg, DCCO, Computer Analysis of Images and Patterns, Michael Felsberg, Anders Heyden and Norbert Krüger (eds.), Lecture Notes in Computer Science, pp. 55-67, Springer (2017)
https://doi.org/10.1007/978-3-319-64689-3_5
Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg, ECO: Efficient Convolution Operators for Tracking, Proceedings 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), IEEE Conference on Computer Vision and Pattern Recognition, pp. 6931-6939, Institute of Electrical and Electronics Engineers (IEEE) (2017)
https://doi.org/10.1109/CVPR.2017.733
Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman Pflugfelder, Luka Cehovin Zajc, Tomas Vojir, Gustav Häger, Alan Lukezic, Abdelrahman Eldesokey, Gustavo Fernandez, Alvaro Garcia-Martin, A. Muhic, Alfredo Petrosino, Alireza Memarmoghadam, Andrea Vedaldi, Antoine Manzanera, Antoine Tran, Aydin Alatan, Bogdan Mocanu, Boyu Chen, Chang Huang, Changsheng Xu, Chong Sun, Dalong Du, David Zhang, Dawei Du, Deepak Mishra, Erhan Gundogdu, Erik Velasco-Salido, Fahad Khan, Francesco Battistone, Gorthi R. K. Sai Subrahmanyam, Goutam Bhat, Guan Huang, Guilherme Bastos, Guna Seetharaman, Hongliang Zhang, Houqiang Li, Huchuan Lu, Isabela Drummond, Jack Valmadre, Jae-Chan Jeong, Jae-Il Cho, Jae-Yeong Lee, Jana Noskova, Jianke Zhu, Jin Gao, Jingyu Liu, Ji-Wan Kim, Joao F. Henriques, Jose M. Martinez, Junfei Zhuang, Junliang Xing, Junyu Gao, Kai Chen, Kannappan Palaniappan, Karel Lebeda, Ke Gao, Kris M. Kitani, Lei Zhang, Lijun Wang, Lingxiao Yang, Longyin Wen, Luca Bertinetto, Mahdieh Poostchi, Martin Danelljan, Matthias Mueller, Mengdan Zhang, Ming-Hsuan Yang, Nianhao Xie, Ning Wang, Ondrej Miksik, P. Moallem, Pallavi M. Venugopal, Pedro Senna, Philip H. S. Torr, Qiang Wang, Qifeng Yu, Qingming Huang, Rafael Martin-Nieto, Richard Bowden, Risheng Liu, Ruxandra Tapu, Simon Hadfield, Siwei Lyu, Stuart Golodetz, Sunglok Choi, Tianzhu Zhang, Titus Zaharia, Vincenzo Santopietro, Wei Zou, Weiming Hu, Wenbing Tao, Wenbo Li, Wengang Zhou, Xianguo Yu, Xiao Bian, Yang Li, Yifan Xing, Yingruo Fan, Zheng Zhu, Zhipeng Zhang, Zhiqun He, The Visual Object Tracking VOT2017 challenge results, 2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCVW 2017), IEEE International Conference on Computer Vision Workshops, pp. 1949-1972, IEEE (2017)
https://doi.org/10.1109/ICCVW.2017.230
2016
Michael Felsberg, Matej Kristan, Jiri Matas, Ales Leonardis, Roman Pflugfelder, Gustav Häger, Amanda Berg, Abdelrahman Eldesokey, Jörgen Ahlberg, Luka Cehovin, Tomas Vojir, Alan Lukezic, Gustavo Fernandez, Alfredo Petrosino, Alvaro Garcia-Martin, Andres Solis Montero, Anton Varfolomieiev, Aykut Erdem, Bohyung Han, Chang-Ming Chang, Dawei Du, Erkut Erdem, Fahad Shahbaz Khan, Fatih Porikli, Fei Zhao, Filiz Bunyak, Francesco Battistone, Gao Zhu, Guna Seetharaman, Hongdong Li, Honggang Qi, Horst Bischof, Horst Possegger, Hyeonseob Nam, Jack Valmadre, Jianke Zhu, Jiayi Feng, Jochen Lang, Jose M. Martinez, Kannappan Palaniappan, Karel Lebeda, Ke Gao, Krystian Mikolajczyk, Longyin Wen, Luca Bertinetto, Mahdieh Poostchi, Mario Maresca, Martin Danelljan, Michael Arens, Ming Tang, Mooyeol Baek, Nana Fan, Noor Al-Shakarji, Ondrej Miksik, Osman Akin, Philip H. S. Torr, Qingming Huang, Rafael Martin-Nieto, Rengarajan Pelapur, Richard Bowden, Robert Laganiere, Sebastian B. Krah, Shengkun Li, Shizeng Yao, Simon Hadfield, Siwei Lyu, Stefan Becker, Stuart Golodetz, Tao Hu, Thomas Mauthner, Vincenzo Santopietro, Wenbo Li, Wolfgang Huebner, Xin Li, Yang Li, Zhan Xu, Zhenyu He, The Thermal Infrared Visual Object Tracking VOT-TIR2016 Challenge Results, Computer Vision – ECCV 2016 Workshops. ECCV 2016., Hua G., Jégou H. (eds.), Lecture Notes in Computer Science, pp. 824-849, SPRINGER INT PUBLISHING AG (2016)
https://doi.org/10.1007/978-3-319-48881-3_55
Amanda Berg, Michael Felsberg, Gustav Häger, Jörgen Ahlberg, An Overview of the Thermal Infrared Visual Object Tracking VOT-TIR2015 Challenge, , Svenska sällskapet för automatiserad bildanalys (SSBA) (2016)
Amanda Berg, Jörgen Ahlberg, Michael Felsberg, Channel Coded Distribution Field Tracking for Thermal Infrared Imagery, PROCEEDINGS OF 29TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS, (CVPRW 2016), IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, pp. 1248-1256, IEEE (2016)
https://doi.org/10.1109/CVPRW.2016.158
Gustav Häger, Goutam Bhat, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg, Piotr Rudol, Patrick Doherty, Combining Visual Tracking and Person Detection for Long Term Tracking on a UAV, Proceedings of the 12th International Symposium on Advances in Visual Computing, Lecture Notes in Computer Science, Springer (2016)
https://doi.org/10.1007/978-3-319-50835-1_50
Kristoffer Öfjäll, Michael Felsberg, Andreas Robinson, Visual Autonomous Road Following by Symbiotic Online Learning, Intelligent Vehicles Symposium (IV), 2016 IEEE, pp. 136-143 (2016)
https://doi.org/10.1109/IVS.2016.7535377
Martin Danelljan, Andreas Robinson, Fahad Shahbaz Khan, Michael Felsberg, Beyond Correlation Filters: Learning Continuous Convolution Operators for Visual Tracking, Computer Vision – ECCV 2016, Bastian Leibe, Jiri Matas, Nicu Sebe and Max Welling (eds.), Lecture Notes in Computer Science, pp. 472-488, Springer, Cham (2016)
https://doi.org/10.1007/978-3-319-46454-1_29
https://arxiv.org/abs/1608.03773
Martin Danelljan, Giulia Meneghetti, Fahad Shahbaz Khan, Michael Felsberg, A Probabilistic Framework for Color-Based Point Set Registration, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), IEEE Conference on Computer Vision and Pattern Recognition, pp. 1818-1826, Institute of Electrical and Electronics Engineers (IEEE) (2016)
https://doi.org/10.1109/CVPR.2016.201
Martin Danelljan, Giulia Meneghetti, Fahad Shahbaz Khan, Michael Felsberg, Aligning the Dissimilar: A Probabilistic Feature-Based Point Set Registration Approach, Proceedings of the 23rd International Conference on Pattern Recognition (ICPR) 2016, pp. 247-252, IEEE (2016)
https://doi.org/10.1109/ICPR.2016.7899641
Martin Danelljan, Gustav Häger, Fahad Shahbaz Khan, Michael Felsberg, Adaptive Decontamination of the Training Set: A Unified Formulation for Discriminative Visual Tracking, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), IEEE Conference on Computer Vision and Pattern Recognition, pp. 1430-1438, Institute of Electrical and Electronics Engineers (IEEE) (2016)
https://doi.org/10.1109/CVPR.2016.159
Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman Pflugfelder, Luka Cehovin, Tomas Vojir, Gustav Häger, Alan Lukezic, Gustavo Fernandez, Abhinav Gupta, Alfredo Petrosino, Alireza Memarmoghadam, Alvaro Garcia-Martin, Andres Solis Montero, Andrea Vedaldi, Andreas Robinson, Andy J. Ma, Anton Varfolomieiev, Aydin Alatan, Aykut Erdem, Bernard Ghanem, Bin Liu, Bohyung Han, Brais Martinez, Chang-Ming Chang, Changsheng Xu, Chong Sun, Daijin Kim, Dapeng Chen, Dawei Du, Deepak Mishra, Dit-Yan Yeung, Erhan Gundogdu, Erkut Erdem, Fahad Khan, Fatih Porikli, Fei Zhao, Filiz Bunyak, Francesco Battistone, Gao Zhu, Giorgio Roffo, Gorthi R. K. Sai Subrahmanyam, Guilherme Bastos, Guna Seetharaman, Henry Medeiros, Hongdong Li, Honggang Qi, Horst Bischof, Horst Possegger, Huchuan Lu, Hyemin Lee, Hyeonseob Nam, Hyung Jin Chang, Isabela Drummond, Jack Valmadre, Jae-chan Jeong, Jae-il Cho, Jae-Yeong Lee, Jianke Zhu, Jiayi Feng, Jin Gao, Jin Young Choi, Jingjing Xiao, Ji-Wan Kim, Jiyeoup Jeong, Joao F. Henriques, Jochen Lang, Jongwon Choi, Jose M. Martinez, Junliang Xing, Junyu Gao, Kannappan Palaniappan, Karel Lebeda, Ke Gao, Krystian Mikolajczyk, Lei Qin, Lijun Wang, Longyin Wen, Luca Bertinetto, Madan Kumar Rapuru, Mahdieh Poostchi, Mario Maresca, Martin Danelljan, Matthias Mueller, Mengdan Zhang, Michael Arens, Michel Valstar, Ming Tang, Mooyeol Baek, Muhammad Haris Khan, Naiyan Wang, Nana Fan, Noor Al-Shakarji, Ondrej Miksik, Osman Akin, Payman Moallem, Pedro Senna, Philip H. S. Torr, Pong C. Yuen, Qingming Huang, Rafael Martin-Nieto, Rengarajan Pelapur, Richard Bowden, Robert Laganiere, Rustam Stolkin, Ryan Walsh, Sebastian B. Krah, Shengkun Li, Shengping Zhang, Shizeng Yao, Simon Hadfield, Simone Melzi, Siwei Lyu, Siyi Li, Stefan Becker, Stuart Golodetz, Sumithra Kakanuru, Sunglok Choi, Tao Hu, Thomas Mauthner, Tianzhu Zhang, Tony Pridmore, Vincenzo Santopietro, Weiming Hu, Wenbo Li, Wolfgang Huebner, Xiangyuan Lan, Xiaomeng Wang, Xin Li, Yang Li, Yiannis Demiris, Yifan Wang, Yuankai Qi, Zejian Yuan, Zexiong Cai, Zhan Xu, Zhenyu He, Zhizhen Chi, The Visual Object Tracking VOT2016 Challenge Results, COMPUTER VISION - ECCV 2016 WORKSHOPS, PT II, Lecture Notes in Computer Science, pp. 777-823, SPRINGER INT PUBLISHING AG (2016)
https://doi.org/10.1007/978-3-319-48881-3_54
Susanna Gladh, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg, Deep motion features for visual tracking, Proceedings of the 23rd International Conference on, Pattern Recognition (ICPR), 2016, pp. 1243-1248, Institute of Electrical and Electronics Engineers (IEEE) (2016)
https://doi.org/10.1109/ICPR.2016.7899807
2015
Michael Felsberg, Amanda Berg, Gustav Häger, Jörgen Ahlberg, Matej Kristan, Jiri Matas, Ales Leonardis, Luka Cehovin, Gustavo Fernandez, Tomas Vojır, Georg Nebehay, Roman Pflugfelder, Alan Lukezic, Alvaro Garcia-Martin8, Amir Saffari, Ang Li, Andres Solıs Montero, Baojun Zhao, Cordelia Schmid, Dapeng Chen, Dawei Du, Fahad Shahbaz Khan, Fatih Porikli, Gao Zhu, Guibo Zhu, Hanqing Lu, Hilke Kieritz, Hongdong Li, Honggang Qi, Jae-chan Jeong, Jae-il Cho, Jae-Yeong Lee, Jianke Zhu, Jiatong Li, Jiayi Feng, Jinqiao Wang, Ji-Wan Kim, Jochen Lang, Jose M. Martinez, Kai Xue, Karteek Alahari, Liang Ma, Lipeng Ke, Longyin Wen, Luca Bertinetto, Martin Danelljan, Michael Arens, Ming Tang, Ming-Ching Chang, Ondrej Miksik, Philip H S Torr, Rafael Martin-Nieto, Robert Laganiere, Sam Hare, Siwei Lyu, Song-Chun Zhu, Stefan Becker, Stephen L Hicks, Stuart Golodetz, Sunglok Choi, Tianfu Wu, Wolfgang Hubner, Xu Zhao, Yang Hua, Yang Li, Yang Lu, Yuezun Li, Zejian Yuan, Zhibin Hong, The Thermal Infrared Visual Object Tracking VOT-TIR2015 Challenge Results, Proceedings of the IEEE International Conference on Computer Vision, IEEE International Conference on Computer Vision. Proceedings, pp. 639-651, Institute of Electrical and Electronics Engineers (IEEE) (2015)
https://doi.org/10.1109/ICCVW.2015.86
Amanda Berg, Jörgen Ahlberg, Michael Felsberg, A Thermal Object Tracking Benchmark, , IEEE (2015)
https://doi.org/10.1109/AVSS.2015.7301772
Amanda Berg, Jörgen Ahlberg, Michael Felsberg, A thermal infrared dataset for evaluation of short-term tracking methods, , Svenska sällskapet för automatiserad bildanalys (SSBA) (2015)
Amanda Berg, Kristoffer Öfjäll, Jörgen Ahlberg, Michael Felsberg, Detecting Rails and Obstacles Using a Train-Mounted Thermal Camera, Image Analysis, Rasmus R. Paulsen; Kim S. Pedersen (ed.), Lecture Notes in Computer Science, pp. 492-503, Springer (2015)
https://doi.org/10.1007/978-3-319-19665-7_42
Fahad Shahbaz Khan, Muhammad Anwer Rao, Joost van de Weijer, Michael Felsberg, Jorma Laaksonen, Deep Semantic Pyramids for Human Attributes and Action Recognition, Image Analysis, Paulsen, Rasmus R., Pedersen, Kim S. (eds.), Lecture Notes in Computer Science, pp. 341-353, Springer (2015)
https://doi.org/10.1007/978-3-319-19665-7_28
Freddie Åström, Michael Felsberg, On the Choice of Tensor Estimation for Corner Detection, Optical Flow and Denoising, COMPUTER VISION - ACCV 2014 WORKSHOPS, PT II, C.V. Jawahar and Shiguang Shan (ed.), Lecture Notes in Computer Science, pp. 16-30, Springer (2015)
https://doi.org/10.1007/978-3-319-16631-5_2
Freddie Åström, Michael Felsberg, Hanno Scharr, Adaptive sharpening of multimodal distributions, Colour and Visual Computing Symposium (CVCS), 2015, Marius Pedersen and Jean-Baptiste Thomas (ed.), IEEE (2015)
https://doi.org/10.1109/CVCS.2015.7274890
Freddie Åström, George Baravdish, Michael Felsberg, A Tensor Variational Formulation of Gradient Energy Total Variation, ENERGY MINIMIZATION METHODS IN COMPUTER VISION AND PATTERN RECOGNITION, EMMCVPR 2015, Lecture Notes in Computer Science, pp. 307-320, Springer Berlin/Heidelberg (2015)
https://doi.org/10.1007/978-3-319-14612-6_23
Giulia Meneghetti, Martin Danelljan, Michael Felsberg, Klas Nordberg, Image alignment for panorama stitching in sparsely structured environments, Image Analysis. SCIA 2015., Paulsen, Rasmus R., Pedersen, Kim S. (eds.), Lecture Notes in Computer Science, pp. 428-439, Springer (2015)
https://doi.org/10.1007/978-3-319-19665-7_36
Kristoffer Öfjäll, Michael Felsberg, Online learning of autonomous driving using channel representations of multi-modal joint distributions, Proceedings of SSBA, Swedish Symposium on Image Analysis, 2015, Swedish Society for automated image analysis (2015)
Kristoffer Öfjäll, Michael Felsberg, Weighted Update and Comparison for Channel-Based Distribution Field Tracking, COMPUTER VISION - ECCV 2014 WORKSHOPS, PT II, Lecture Notes in Computer Science, pp. 218-231, Springer (2015)
https://doi.org/10.1007/978-3-319-16181-5_15
Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg, Karl Granström, Fredrik Heintz, Piotr Rudol, Mariusz Wzorek, Jonas Kvarnström, Patrick Doherty, A Low-Level Active Vision Framework for Collaborative Unmanned Aircraft Systems, COMPUTER VISION - ECCV 2014 WORKSHOPS, PT I, Lourdes Agapito, Michael M. Bronstein and Carsten Rother (eds.), Lecture Notes in Computer Science, pp. 223-237, Springer Publishing Company (2015)
https://doi.org/10.1007/978-3-319-16178-5_15
Martin Danelljan, Gustav Häger, Fahad Shahbaz Khan, Michael Felsberg, Coloring Channel Representations for Visual Tracking, 19th Scandinavian Conference, SCIA 2015, Copenhagen, Denmark, June 15-17, 2015. Proceedings, Rasmus R. Paulsen, Kim S. Pedersen (eds.), Lecture Notes in Computer Science, pp. 117-129, Springer (2015)
https://doi.org/10.1007/978-3-319-19665-7_10
Martin Danelljan, Gustav Häger, Fahad Shahbaz Khan, Michael Felsberg, Convolutional Features for Correlation Filter Based Visual Tracking, 2015 IEEE International Conference on Computer Vision Workshop (ICCVW), pp. 621-629, IEEE conference proceedings (2015)
https://doi.org/10.1109/ICCVW.2015.84
Martin Danelljan, Gustav Häger, Fahad Shahbaz Khan, Michael Felsberg, Learning Spatially Regularized Correlation Filters for Visual Tracking, Proceedings of the International Conference in Computer Vision (ICCV), 2015, IEEE International Conference on Computer Vision. Proceedings, pp. 4310-4318, IEEE Computer Society (2015)
https://doi.org/10.1109/ICCV.2015.490
https://arxiv.org/abs/1608.05571
Matej Kristan, Jiri Matas, Ales Leonardis, Michael Felsberg, Luka Cehovin, Gustavo Fernandez, Tomas Vojir, Gustav Häger, Georg Nebehay, Roman Pflugfelder, Abhinav Gupta, Adel Bibi, Alan Lukezic, Alvaro Garcia-Martins, Amir Saffari, Alfredo Petrosino, Andres Solis Montero, Anton Varfolomieiev, Atilla Baskurt, Baojun Zhao, Bernard Ghanem, Brais Martinez, ByeongJu Lee, Bohyung Han, Chaohui Wang, Christophe Garcia, Chunyuan Zhang, Cordelia Schmid, Dacheng Tao, Daijin Kim, Dafei Huang, Danil Prokhorov, Dawei Du, Dit-Yan Yeung, Eraldo Ribeiro, Fahad Khan, Fatih Porikli, Filiz Bunyak, Gao Zhu, Guna Seetharaman, Hilke Kieritz, Hing Tuen Yau, Hongdong Li, Honggang Qi, Horst Bischof, Horst Possegger, Hyemin Lee, Hyeonseob Nam, Ivan Bogun, Jae-chan Jeong, Jae-il Cho, Jae-Young Lee, Jianke Zhu, Jianping Shi, Jiatong Li, Jiaya Jia, Jiayi Feng, Jin Gao, Jin Young Choi, Ji-Wan Kim, Jochen Lang, Jose M. Martinez, Jongwon Choi, Junliang Xing, Kai Xue, Kannappan Palaniappan, Karel Lebeda, Karteek Alahari, Ke Gao, Kimin Yun, Kin Hong Wong, Lei Luo, Liang Ma, Lipeng Ke, Longyin Wen, Luca Bertinetto, Mandieh Pootschi, Mario Maresca, Martin Danelljan, Mei Wen, Mengdan Zhang, Michael Arens, Michel Valstar, Ming Tang, Ming-Ching Chang, Muhammad Haris Khan, Nana Fan, Naiyan Wang, Ondrej Miksik, Philip H. S. Torr, Qiang Wang, Rafael Martin-Nieto, Rengarajan Pelapur, Richard Bowden, Robert Laganiere, Salma Moujtahid, Sam Hare, Simon Hadfield, Siwei Lyu, Siyi Li, Song-Chun Zhu, Stefan Becker, Stefan Duffner, Stephen L. Hicks, Stuart Golodetz, Sunglok Choi, Tianfu Wu, Thomas Mauthner, Tony Pridmore, Weiming Hu, Wolfgang Hubner, Xiaomeng Wang, Xin Li, Xinchu Shi, Xu Zhao, Xue Mei, Yao Shizeng, Yang Hua, Yang Li, Yang Lu, Yuezun Li, Zhaoyun Chen, Zehua Huang, Zhe Chen, Zhe Zhang, Zhenyu He, Zhibin Hong, The Visual Object Tracking VOT2015 challenge results, Proceedings 2015 IEEE International Conference on Computer Vision Workshops ICCVW 2015, pp. 564-586, IEEE (2015)
https://doi.org/10.1109/ICCVW.2015.79
Matej Kristan, Roman P. Pflugfelder, Ales Leonardis, Jiri Matas, Luka Cehovin, Georg Nebehay, Tomas Vojir, Gustavo Fernandez, Alan Lukezi, Aleksandar Dimitriev, Alfredo Petrosino, Amir Saffari, Bo Li, Bohyung Han, CherKeng Heng, Christophe Garcia, Dominik Pangersic, Gustav Häger, Fahad Shahbaz Khan, Franci Oven, Horst Possegger, Horst Bischof, Hyeonseob Nam, Jianke Zhu, JiJia Li, Jin Young Choi, Jin-Woo Choi, Joao F. Henriques, Joost van de Weijer, Jorge Batista, Karel Lebeda, Kristoffer Ofjall, Kwang Moo Yi, Lei Qin, Longyin Wen, Mario Edoardo Maresca, Martin Danelljan, Michael Felsberg, Ming-Ming Cheng, Philip Torr, Qingming Huang, Richard Bowden, Sam Hare, Samantha YueYing Lim, Seunghoon Hong, Shengcai Liao, Simon Hadfield, Stan Z. Li, Stefan Duffner, Stuart Golodetz, Thomas Mauthner, Vibhav Vineet, Weiyao Lin, Yang Li, Yuankai Qi, Zhen Lei, ZhiHeng Niu, The Visual Object Tracking VOT2014 Challenge Results, COMPUTER VISION - ECCV 2014 WORKSHOPS, PT II, Lecture Notes in Computer Science, pp. 191-217, Springer (2015)
https://doi.org/10.1007/978-3-319-16181-5_14
Mikael Persson, Tommaso Piccini, Michael Felsberg, Rudolf Mester, Robust Stereo Visual Odometry from Monocular Techniques, 2015 IEEE Intelligent Vehicles Symposium (IV), Intelligent Vehicle, IEEE Symposium, pp. 686-691, Institute of Electrical and Electronics Engineers (IEEE) (2015)
https://doi.org/10.1109/IVS.2015.7225764
Tommaso Piccini, Mikael Persson, Klas Nordberg, Michael Felsberg, Rudolf Mester, Good Edgels to Track: Beating the Aperture Problem with Epipolar Geometry, COMPUTER VISION - ECCV 2014 WORKSHOPS, PT II, Agapito, Lourdes and Bronstein, Michael M. and Rother, Carsten (eds.), Lecture Notes in Computer Science, pp. 652-664, Elsevier (2015)
https://doi.org/10.1007/978-3-319-16181-5_50
Vasileios Zografos, Reiner Lenz, Erik Ringaby, Michael Felsberg, Klas Nordberg, Fast segmentation of sparse 3D point trajectories using group theoretical invariants, COMPUTER VISION - ACCV 2014, PT IV, D. Cremers, I. Reid, H. Saito, M.-H. Yang (eds.), Lecture Notes in Computer Science, pp. 675-691, Springer (2015)
https://doi.org/10.1007/978-3-319-16817-3_44
2014
Christian Heinemann, Freddie Åström, George Baravdish, Kai Krajsek, Michael Felsberg, Hanno Scharr, Using Channel Representations in Regularization Terms, Proceedings of the 9th International Conference on Computer Vision Theory and Applications, pp. 48-55, SciTePress (2014)
https://doi.org/10.5220/0004667500480055
Fahad Khan, De Weijer J. Van, A.D. Bagdanov, Michael Felsberg, Scale coding bag-of-words for action recognition, Pattern Recognition (ICPR), 2014 22nd International Conference on, International Conference on Pattern Recognition, pp. 1514-1519, Institute of Electrical and Electronics Engineers Inc. (2014)
https://doi.org/10.1109/ICPR.2014.269
Johan Hedborg, Andreas Robinson, Michael Felsberg, Robust Three-View Triangulation Done Fast, Proceedings: 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2014, IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, pp. 152-157, IEEE (2014)
https://doi.org/10.1109/CVPRW.2014.28
Kristoffer Öfjäll, Michael Felsberg, Biologically Inspired Online Learning of Visual Autonomous Driving, Proceedings British Machine Vision Conference 2014, Michel Valstar; Andrew French; Tony Pridmore (ed.), pp. 137-156, BMVA Press (2014)
https://doi.org/10.5244/C.28.94
Kristoffer Öfjäll, Michael Felsberg, Online Learning and Mode Switching for Autonomous Driving from Demonstration, Proceedings of SSBA, Swedish Symposium on Image Analysis, 2014 (2014)
Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg, Joost van de Weijer, Adaptive Color Attributes for Real-Time Visual Tracking, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2014, IEEE Conference on Computer Vision and Pattern Recognition. Proceedings, pp. 1090-1097, IEEE Computer Society (2014)
https://doi.org/10.1109/CVPR.2014.143
Martin Danelljan, Gustav Häger, Fahad Khan, Michael Felsberg, Accurate Scale Estimation for Robust Visual Tracking, Proceedings of the British Machine Vision Conference 2014, Michel Valstar, Andrew French and Tony Pridmore (eds.), BMVA Press (2014)
https://doi.org/10.5244/C.28.65
2013
Michael Felsberg, Enhanced Distribution Field Tracking using Channel Representations, Proceedings of the IEEE International Conference on Computer Vision Workshops (ICCVW), 2013, pp. 121-128, IEEE conference proceedings (2013)
https://doi.org/10.1109/ICCVW.2013.22
Bertil Grelsson, Michael Felsberg, Probabilistic Hough Voting for Attitude Estimation from Aerial Fisheye Images, Image Analysis, Joni-Kristian Kämäräinen and Markus Koskela (ed.), Lecture Notes in Computer Science, pp. 478-488, Springer Berlin/Heidelberg (2013)
https://doi.org/10.1007/978-3-642-38886-6_45
Bertil Grelsson, Michael Felsberg, Folke Isaksson, Efficient 7D Aerial Pose Estimation, 2013 IEEE Workshop on Robot Vision (WORV), pp. 88-95, IEEE (2013)
https://doi.org/10.1109/WORV.2013.6521919
Fahad Shahbaz Khan, Joost Van de Weijer, Sadiq Ali, Michael Felsberg, Evaluating the Impact of Color on Texture Recognition, Computer Analysis of Images and Patterns, Richard Wilson, Edwin Hancock, Adrian Bors, William Smith (eds.), Lecture Notes in Computer Science, pp. 154-162, Springer Berlin/Heidelberg (2013)
https://doi.org/10.1007/978-3-642-40261-6_18
Freddie Åström, Michael Felsberg, George Baravdish, Claes Lundström, Targeted Iterative Filtering, , Lecture Notes in Computer Science, pp. 1-11, Springer Berlin/Heidelberg (2013)
https://doi.org/10.1007/978-3-642-38267-3_1
Freddie Åström, Vasileios Zografos, Michael Felsberg, Density Driven Diffusion, 18th Scandinavian Conferences on Image Analysis, 2013, Lecture Notes in Computer Science, pp. 718-730 (2013)
https://doi.org/10.1007/978-3-642-38886-6_67
Johan Hedborg, Michael Felsberg, Fast Iterative Five point Relative Pose Estimation, , pp. 60-67, IEEE conference proceedings (2013)
https://doi.org/10.1109/WORV.2013.6521915
Kristoffer Öfjäll, Felsberg Michael, Rapid Explorative Direct Inverse Kinematics Learning of Relevant Locations for Active Vision, IEEE Workshop on Robot Vision(WORV) 2013, pp. 14-19, IEEE conference proceedings (2013)
https://doi.org/10.1109/WORV.2013.6521932
Kristoffer Öfjäll, Michael Felsberg, Integrating Learning and Optimization for Active Vision Inverse Kinematics, Proceedings of SSBA, Swedish Symposium on Image Analysis, 2013 (2013)
Liam Ellis, Nicolas Pugeault, Kristoffer Öfjäll, Johan Hedborg, Richard Bowden, Michael Felsberg, Autonomous Navigation and Sign Detector Learning, IEEE Workshop on Robot Vision(WORV) 2013, pp. 144-151, IEEE (2013)
https://doi.org/10.1109/WORV.2013.6521929
Matej Kristan, Roman Pflugfelder, Ales Leonardis, Jiri Matas, Fatih Porikli, Luka Cehovin, Georg Nebehay, Gustavo Fernandez, Tomas Vojir, Adam Gatt, Ahmad Khajenezhad, Ahmed Salahledin, Ali Soltani-Farani, Ali Zarezade, Alfredo Petrosino, Anthony Milton, Behzad Bozorgtabar, Bo Li, Chee Seng Chan, CherKeng Heng, Dale Ward, David Kearney, Dorothy Monekosso, Hakki Can Karaimer, Hamid R. Rabiee, Jianke Zhu, Jin Gao, Jingjing Xiao, Junge Zhang, Junliang Xing, Kaiqi Huang, Karel Lebeda, Lijun Cao, Mario Edoardo Maresca, Mei Kuan Lim, Mohamed ELHelw, Michael Felsberg, Paolo Remagnino, Richard Bowden, Roland Goecke, Rustam Stolkin, Samantha YueYing Lim, Sara Maher, Sebastien Poullot, Sebastien Wong, Shinichi Satoh, Weihua Chen, Weiming Hu, Xiaoqin Zhang, Yang Li, ZhiHeng Niu, The Visual Object Tracking VOT2013 challenge results, 2013 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCVW), pp. 98-111, IEEE (2013)
https://doi.org/10.1109/ICCVW.2013.20
Philipp Koschorrek, Tommaso Piccini, Per Öberg, Michael Felsberg, Lars Nielsen, Rudolf Mester, A multi-sensor traffic scene dataset with omnidirectional video, 2013 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS (CVPRW), IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, pp. 727-734, IEEE conference proceedings (2013)
https://doi.org/10.1109/CVPRW.2013.110
2012
Freddie Åström, George Baravdish, Michael Felsberg, On Tensor-Based PDEs and their Corresponding Variational Formulations with Application to Color Image Denoising, , Lecture Notes in Computer Science, pp. 215-228, Springer Berlin/Heidelberg (2012)
https://doi.org/10.1007/978-3-642-33712-3_16
Johan Hedborg, Per-Erik Forssén, Michael Felsberg, Erik Ringaby, Rolling Shutter Bundle Adjustment, , Computer Vision and Pattern Recognition, pp. 1434-1441, IEEE Computer Society; 1999 (2012)
https://doi.org/10.1109/CVPR.2012.6247831
Kristoffer Öfjäll, Michael Felsberg, Combining Vision, Machine Learning and Automatic Control to Play the Labyrinth Game, Proceedings of SSBA, Swedish Symposium on Image Analysis, 2012 (2012)
2011
Andreas Krebs, Johan Wiklund, Michael Felsberg, Optimization of Quadrature Filters Based on the Numerical Integration of Improper Integrals, Pattern Recognition, Rudolf Mester and Michael Felsberg (ed.), Lecture Notes in Computer Science, pp. 91-100, Springer Berlin/Heidelberg (2011)
https://doi.org/10.1007/978-3-642-23123-0_10
Fredrik Larsson, Michael Felsberg, Using Fourier Descriptors and Spatial Models for Traffic Sign Recognition, Image Analysis, Anders Heyden and Fredrik Kahl (ed.), Lecture Notes in Computer Science, pp. 238-249, Springer Berlin/Heidelberg (2011)
https://doi.org/10.1007/978-3-642-21227-7_23
Johan Hedborg, Erik Ringaby, Per-Erik Forssén, Michael Felsberg, Structure and Motion Estimation from Rolling Shutter Video, IEEE International Conference onComputer Vision Workshops (ICCV Workshops), 2011, pp. 17-23, IEEE Xplore (2011)
https://doi.org/10.1109/ICCVW.2011.6130217
Liam Ellis, Michael Felsberg, Richard Bowden, Affordance mining: Forming perception through action, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Kimmel, Ron, Klette, Reinhard, Sugimoto, Akihiro (eds.), Lecture Notes in Computer Science, pp. 525-538, Springer (2011)
https://doi.org/10.1007/978-3-642-19282-1_42
Marcus Wallenberg, Michael Felsberg, Per-Erik Forssén, Babette Dellen, Channel Coding for Joint Colour and Depth Segmentation, Proceedings of Pattern Recognition 33rd DAGM Symposium, Frankfurt/Main, Germany, August 31 - September 2, Rudolf Mester and Michael Felsberg (ed.), Lecture Notes in Computer Science, pp. 306-315, Springer (2011)
https://doi.org/10.1007/978-3-642-23123-0_31
Marcus Wallenberg, Michael Felsberg, Per-Erik Forssén, Babette Dellen, Leaf Segmentation using the Kinect, Proceedings of SSBA 2011 Symposium on Image Analysis (2011)
Tohid Ardeshiri, Fredrik Larsson, Fredrik Gustafsson, Thomas B. Schön, Michael Felsberg, Bicycle Tracking Using Ellipse Extraction, Proceedings of the 14thInternational Conference on Information Fusion, 2011, pp. 1-8, IEEE (2011)
Åström Freddie, Felsberg Michael, Lenz Reiner, Color Persistent Anisotropic Diffusion of Images, Image Analysis, Anders Heyden, Fredrik Kahl (eds.), Lecture Notes in Computer Science, pp. 262-272, Springer, Heidelberg (2011)
https://doi.org/10.1007/978-3-642-21227-7_25
2010
Michael Felsberg, Efficient Computation of Feature Hierarchies using Framelets, Inverse Problems and Applications (2010)
Michael Felsberg, Incremental computation of feature hierarchies, Pattern Recognition, Michael Goesele, Stefan Roth, Arjan Kuijper, Bernt Schiele and Konrad Schindler (eds.), Lecture Notes in Computer Science, pp. 523-532, Springer Berlin/Heidelberg (2010)
https://doi.org/10.1007/978-3-642-15986-2_53
Michael Felsberg, Affan Shaukat, David Windridge, Online Learning in Perception-Action Systems, ECCV 2010 Workshop on Vision for Cognitive Tasks (2010)
Michael Felsberg, Fredrik Larsson, Learning object tracking in image sequences, International Conference on Cognitive Systems (2010)
Michael Felsberg, Fredrik Larsson, Han Wang, Anders Ynnerman, Thomas Schön, Torchlight Navigation, Proceedings of the 20th International Conferenceon Pattern Recognition, International Conference on Pattern Recognition, pp. 302-306 (2010)
https://doi.org/10.1109/ICPR.2010.83
Michael Felsberg, Fredrik Larsson, Wang Han, Anders Ynnerman, Thomas Schön, Torch Guided Navigation, Proceedings of the 2010 SSBA Symposium, pp. 8-9 (2010)
Johan Hedborg, Michael Felsberg, Fast and Robust Relative Pose Estimation for Forward and Sideways Motions, SSBA (2010)
Johan Wiklund, Klas Nordberg, Michael Felsberg, Software architecture and middleware for artificial cognitive systems, International Conference on Cognitive Systems (2010)
2009
Michael Felsberg, Spatio-featural scale-space, Scale Space and Variational Methods in Computer Vision, Xue-Cheng Tai, Knut Mørken, Marius Lysaker and Knut-Andreas Lie (eds.), Lecture Notes in Computer Science, pp. 808-819, Springer Berlin/Heidelberg (2009)
https://doi.org/10.1007/978-3-642-02256-2_67
Michael Felsberg, Spatio-featural scale-space (2009)
Michael Felsberg, Fredrik Larsson, Learning Higher-Order Markov Models for ObjectTracking in Image Sequences, Proceedings of the 5th International Symposium on Advances in Visual Computing: Part II, Lecture Notes in Computer Science, pp. 184-195, Springer-Verlag, Berlin, Heidelberg (2009)
https://doi.org/10.1007/978-3-642-10520-3_17
Alain Pagani, Didier Stricker, Michael Felsberg, Integral P-channels for fast and robust region matching, Image Processing (ICIP), 2009 16th IEEE International Conference, pp. 213-216 (2009)
https://doi.org/10.1109/ICIP.2009.5414467
Fredrik Larsson, Michael Felsberg, Per-Erik Forssén, Patch Contour Matching by Correlating Fourier Descriptors, Digital Image Computing: Techniques and Applications (DICTA), pp. 40-46, IEEE Computer Society (2009)
https://doi.org/10.1109/DICTA.2009.17
Fredrik Larsson, Per-Erik Forssén, Michael Felsberg, Using Fourier descriptors for local region matching, SSBA (2009)
Johan Hedborg, Per-Erik Forssén, Michael Felsberg, Fast and Accurate Structure and Motion Estimation, International Symposium on Visual Computing, George Bebis, Richard Boyle, Bahram Parvin, Darko Koracin, Yoshinori Kuno, Junxian Wang, Jun-Xuan Wang, Junxian Wang, Renato Pajarola and Peter Lindstrom et al. (eds.), Lecture Notes in Computer Science, pp. 211-222, Springer-Verlag, Berlin Heidelberg (2009)
https://doi.org/10.1007/978-3-642-10331-5_20
2008
Michael Felsberg, A Novel two-step Method for CT Reconstruction, Bildverarbeitung für die Medizin, Informatik aktuell, pp. 303-307, Springer, Heidelberg (2008)
https://doi.org/10.1007/978-3-540-78640-5_61
Michael Felsberg, On Second Order Operators and Quadratic Operators, Proceedings - International Conference on Pattern Recognition, pp. 1-4, IEEE (2008)
https://doi.org/10.1109/ICPR.2008.4761685
Michael Felsberg, On the Relation Between Anisotropic Diffusion and Iterated Adaptive Filtering, Pattern Recognition, Gerhard Rigoll (ed.), Lecture Notes in Computer Science, pp. 436-445, Springer Berlin/Heidelberg (2008)
https://doi.org/10.1007/978-3-540-69321-5_44
Michael Felsberg, Fredrik Larsson, Learning Bayesian tracking for motion estimation, ECCV Workshop: Machine Learning for Vision-based Motion Analysis (2008)
Michael Felsberg, Gösta Granlund, Fusing Dynamic Percepts and Symbols in Cognitive Systems, International Conference on Cognitive Systems (2008)
Fredrik Larsson, Erik Jonsson, Michael Felsberg, Learning Floppy Robot Control, SSBA 2008, pp. 39-42 (2008)
2007
Michael Felsberg, Extending Graph-Cut to Continuous Value Domain Minimization, Canadian Conference on Computer and Robot Vision 2007, p. 274, IEEE, Los Alamitos, CA, USA (2007)
Michael Felsberg, Extending Graph-Cut to Continuous Value Domain Minimization, SSBA 2007 (2007)
Michael Felsberg, Johan Hedborg, Real-Time Visual Recognition of Objects and Scenes Using P-Channel Matching, Proceedings 15th Scandinavian Conference on Image Analysis, Bjarne K. Ersboll and Kim S. Pedersen (ed.), Lecture Notes in Computer Science, pp. 908-917, Springer, Berlin, Heidelberg (2007)
https://doi.org/10.1007/978-3-540-73040-8
Michael Felsberg, Johan Wiklund, Erik Jonsson, Anders Moe, Gösta Granlund, Exploratory Learning Strucutre in Artificial Cognitive Systems, International Cognitive Vision Workshop, eCollections, Bielefeld (2007)
https://doi.org/10.2390/biecoll-icvs2007-173
Erik Jonsson, Michael Felsberg, Accurate Interpolation in Appearance-Based Pose Estimation, Image Analysis, Bjarne Kjær Ersbøll and Kim Steenstrup Pedersen (ed.), Lecture Notes in Computer Science, pp. 1-10, Springer Berlin/Heidelberg (2007)
https://doi.org/10.1007/978-3-540-73040-8_1
Erik Jonsson, Michael Felsberg, Accurate Interpolation in Appearance-Based Pose Estimation, Svenska Sällskapet för Automatiserad Bildanalys SSBA Symposium 2007, pp. 13-16 (2007)
Fredrik Larsson, Erik Jonsson, Michael Felsberg, Visual Servoing Based on Learned Inverse Kinematics, SSBA 2007, pp. 21-24 (2007)
Fredrik Larsson, Erik Jonsson, Michael Felsberg, Visual Servoing for Floppy Robots using LWPR, RoboMat 2007 (2007)
Jan-Erik Källhammer, Dick Eriksson, Gösta Granlund, Michael Felsberg, Anders Moe, Björn Johansson, Johan Wiklund, Per-Erik Forssén, Near Zone Pedestrian Detection using a Low-Resolution FIR Sensor, Intelligent Vehicles Symposium, 2007 IEEE, Intelligent Vehicles Symposium, IEEE, Istanbul, Turkey (2007)
https://doi.org/10.1109/IVS.2007.4290137
Johan Hedborg, Johan Skoglund, Michael Felsberg, KLT Tracking Implementation on the GPU, Proceedings SSBA 2007, Magnus Borga, Anders Brun and Michael Felsberg; (eds.) (2007)
Johan Skoglund, Michael Felsberg, Covariance estimation for SAD block matching, Image Analysis, Bjarne Kjær Ersbøll and Kim Steenstrup Pedersen (ed.), Lecture Notes in Computer Science, pp. 374-382, Springer Berlin/Heidelberg (2007)
https://doi.org/10.1007/978-3-540-73040-8_38
2006
Michael Felsberg, Optical flow estimation from monogenic phase., International Workshop on Complex Motion 2004, Springer (2006)
Michael Felsberg, Gösta Granlund, P-Channels, ICPR 2006 (2006)
Erik Jonsson, Michael Felsberg, Correspondence-Free Associative Learning, ICPR 2006 (2006)
Erik Jonsson, Michael Felsberg, Soft Histograms for Belief Propagation, ECCV Workhop of the Representation and Use of Prior Knowledge in Vision 2006 (2006)
Johan Skoglund, Michael Felsberg, Evaluation of Subpixel Tracking Algorithms, International Symposium on Visual Computing 2006, p. 375 (2006)
2005
Michael Felsberg, Wiener channel smoothing, Pattern Recognition, Lecture Notes in Computer Science, pp. 468-475 (2005)
Michael Felsberg, Erik Jonsson, Energy Tensors, Pattern Recognition, Walter G. Kropatsch, Robert Sablatnig and Allan Hanbury (eds.), Lecture Notes in Computer Science, pp. 493-500, Springer Berlin/Heidelberg (2005)
https://doi.org/10.1007/11550518_61
Michael Felsberg, Erik Jonsson, Reconstruction of Probability Density Functions from Channel Representations, Reconstruction of Probability Density Functions from Channel Representations 2005 (2005)
Michael Felsberg, Per-Erik Forssén, Anders Moe, Gösta Granlund, A COSPAL Subsystem, AAAI Fall Symposium: From Reactive to Anticipatory Cognitive Embedded Systems, FS-05-05, pp. 65-69, AAAI Press (2005)
Michael Felsberg, Ullrich Köthe, GET, Scale Space and PDE Methods in Computer Vision, Lecture Notes in Computer Science, pp. 192-203 (2005)
Erik Jonsson, Michael Felsberg, Efficient Robust Mean Value Computation of 1D Features, Efficient Robust Mean Value Computation of 1D Features 2005 (2005)
Erik Jonsson, Michael Felsberg, Reconstruction of probability density functions from channel representations, Scandinavian Conference on Image Analysis, Lecture Notes in Computer Science, pp. 491-500 (2005)
Johan Skoglund, Michael Felsberg, Fast Image Processing Using SSE2, Fast Image Processing Using SSE2 2005 (2005)
Ullrich Köthe, Michael Felsberg, Riesz-transforms versus derivatives, Scale Space and PDE Methods in Computer Vision, Lecture Notes in Computer Science, pp. 179-191 (2005)
2004
Michael Felsberg, On the Design of Two-Dimensional Polar Separable Filters, EUSIPCO2004 2004, p. 417, EURASIP (2004)
Michael Felsberg, Gösta Granlund, POI detection using channel clustering and the 2D energy tensor, Proceedings of Pattern Recognition, 26th DAGM Symposium, Carl Edward Rasmussen, Heinrich H. Bülthoff, Bernhard Schölkopf and Martin A. Giese (eds.), Lecture Notes in Computer Science, pp. 103-110, SpringerLink (2004)
https://doi.org/10.1007/978-3-540-28649-3_13
Norbert Krüger, Michael Felsberg, Florentin Wörgötter, Processing Multi-modal Primitives from Image Sequences, EIS2004 2004 (2004)
Sinan Kalkan, D. Calow, Michael Felsberg, Florentin Wörgötter, M. Lappe, Norbert Krüger, Optic Flow Statistics and Intrinsic Dimensionality, BICS2004 2004 (2004)
2003
Michael Felsberg, Gösta Granlund, Anisotropic Channel Filtering, SCIA, Lecture Notes in Computer Science, pp. 755-762 (2003)
Michael Felsberg, Norbert Kruger, A Probabilistic Definition of Intrinsic Dimensionality for Images, 25. DAGM Symposium Mustererkennung, Magdeburg eds Michaelis, B. and Krell, G., Lecture Notes in Computer Science, pp. 140-147 (2003)
Michael Felsberg, R Duits, L Florack, The monogenic scale space on a bounded domain and its applications (2003)
Hanno Scharr, Michael Felsberg, Per-Erik Forssén, Noise Adaptive Channel Smoothing of Low-Dose Images, Computer Vision for the Nano-Scale Workshop accompanying CVPR 2003 2003, IEEE Computer Society, Madison (2003)
Norbert Kruger, Michael Felsberg, A continuous Formulation of intrinsic Dimension, British Machine Vision Conference (2003)
Remco Duits, Michael Felsberg, Luc Florack, Bram Platel, α Scale Spaces on a Bounded Domain, Scale Space Methods in Computer Vision, Lewis D. Griffin and Martin Lillholm (ed.), Lecture Notes in Computer Science, pp. 502-518 (2003)
https://doi.org/10.1007/3-540-44935-3_34
2002
Michael Felsberg, Disparity from monogenic phase, DAGM Symposium Mustererkennung, Zurich, Lecture Notes in Computer Science, pp. 248-256, Springer, Heidelberg (2002)
Michael Felsberg, Gerald Sommer, Image Features Based on a New Approach to 2D Rotation Invariant Quadrature Filters, Computer Vision - ECCV 2002 eds A. Heyden and G. Sparr and M. Nielsen and P. Johansen, Lecture Notes in Computer Science, pp. 369-383 (2002)
Norbert Kruger, Michael Felsberg, Christian Gebken, Martin Pörksen, An Explicit and Compact Coding of Geometric and Structural Information Applied to Stereo Processing, Vision, Modeling, and Visualization (2002)
Journal papers
Ioannis Athanasiadis, Fredrik Lindsten, Michael Felsberg, Prior Learning in Introspective VAEs, Transactions on Machine Learning Research:1-41 (2025)
Pourya Shamsolmoali, Masoumeh Zareapoor, Huiyu Zhou, Michael Felsberg, Dacheng Tao, Xuelong Li, From Missing Pieces to Masterpieces: Image Completion With Context-Adaptive Diffusion, IEEE Transactions on Pattern Analysis and Machine Intelligence 47:6073-6087 (2025)
https://doi.org/10.1109/TPAMI.2025.3558092
Emil Brissman, Joakim Johnander, Martin Danelljan, Michael Felsberg, Recurrent Graph Neural Networks for Video Instance Segmentation, International Journal of Computer Vision 131:471-495 (2023)
https://doi.org/10.1007/s11263-022-01703-8
Sajid Javed, Martin Danelljan, Fahad Khan, Muhammad Haris Khan, Michael Felsberg, Jiri Matas, Visual Object Tracking With Discriminative Filters and Siamese Networks: A Survey and Outlook, IEEE Transactions on Pattern Analysis and Machine Intelligence 45:6552-6574 (2023)
https://doi.org/10.1109/TPAMI.2022.3212594
Zahra Gharaee, Shreyas Kowshik, Oliver Stromann, Michael Felsberg, Graph representation learning for road type classification, Pattern Recognition 120:108174 (2021)
https://doi.org/10.1016/j.patcog.2021.108174
https://arxiv.org/abs/2107.07791
Abdelrahman Eldesokey, Michael Felsberg, Fahad Shahbaz Khan, Confidence Propagation through CNNs for Guided Sparse Depth Regression, IEEE Transactions on Pattern Analysis and Machine Intelligence 42 (2020)
https://doi.org/10.1109/TPAMI.2019.2929170
https://arxiv.org/abs/1811.01791
Bertil Grelsson, Andreas Robinson, Michael Felsberg, Fahad Khan, GPS-level accurate camera localization with HorizonNet, Journal of Field Robotics 37:951-971 (2020)
https://doi.org/10.1002/rob.21929
Martin Danelljan, Goutam Bhat, Susanna Gladh, Fahad Shahbaz Khan, Michael Felsberg, Deep motion and appearance cues for visual tracking, Pattern Recognition Letters 124:74-81 (2019)
https://doi.org/10.1016/j.patrec.2018.03.009
Tobias Klamt, Diego Rodriguez, Lorenzo Baccelliere, Xi Chen, Domenico Chiaradia, Torben Cichon, Massimiliano Gabardi, Paolo Guria, Karl Holmquist, Malgorzata Kamedula, Hakan Karaoguz, Navvab Kashiri, Arturo Laurenzi, Christian Lenz, Daniele Leonardis, Enrico Mingo Hoffman, Luca Muratore, Dmytro Pavlichenko, Francesco Porcini, Zeyu Ren, Fabian Schilling, Max Schwarz, Massimiliano Solazzi, Michael Felsberg, Antonio Frisoli, Michael Gustmann, Patric Jensfelt, Klas Nordberg, Juergen Rossmann, Uwe Suess, Nikos G. Tsagarakis, Sven Behnke, Flexible Disaster Response of Tomorrow: Final Presentation and Evaluation of the CENTAURO System, IEEE robotics & automation magazine 26:59-72 (2019)
https://doi.org/10.1109/MRA.2019.2941248
Fahad Khan, Joost van de Weijer, Rao Muhammad Anwer, Andrew D. Bagdanov, Michael Felsberg, Jorma Laaksonen, Scale coding bag of deep features for human attribute and action recognition, Machine Vision and Applications 29:55-71 (2018)
https://doi.org/10.1007/s00138-017-0871-1
https://arxiv.org/abs/1612.04884
Felix Järemo Lawin, Martin Danelljan, Fahad Shahbaz Khan, Per-Erik Forssén, Michael Felsberg, Density Adaptive Point Set Registration, The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2018) https://arxiv.org/abs/1804.01495
Kristoffer Öfjäll, Michael Felsberg, Approximative Coding Methods for Channel Representations, Journal of Mathematical Imaging and Vision 60:929-940 (2018)
https://doi.org/10.1007/s10851-017-0775-8
Freddie Åström, Michael Felsberg, George Baravdish, Mapping-Based Image Diffusion, Journal of Mathematical Imaging and Vision 57:293-323 (2017)
https://doi.org/10.1007/s10851-016-0672-6
Martin Danelljan, Gustav Häger, Fahad Shahbaz Khan, Michael Felsberg, Discriminative Scale Space Tracking, IEEE Transactions on Pattern Analysis and Machine Intelligence 39:1561-1575 (2017)
https://doi.org/10.1109/TPAMI.2016.2609928
Tahir Nawaz, Amanda Berg, James Ferryman, Jörgen Ahlberg, Michael Felsberg, Effective evaluation of privacy protection techniques in visible and thermal imagery, Journal of Electronic Imaging (JEI) 26:051408 (2017)
https://doi.org/10.1117/1.JEI.26.5.051408
Amanda Berg, Jörgen Ahlberg, Michael Felsberg, Enhanced analysis of thermographic images for monitoring of district heat pipe networks, Pattern Recognition Letters 83:215-223 (2016)
https://doi.org/10.1016/j.patrec.2016.07.002
Bertil Grelsson, Michael Felsberg, Folke Isaksson, Highly Accurate Attitude Estimation via Horizon Detection, Journal of Field Robotics 33:967-993 (2016)
https://doi.org/10.1002/rob.21639
Giuseppe Bianco, Mihaela Ilieva, Clas Veibäck, Kristoffer Öfjäll, Alicja Gadomska, Gustaf Hendeby, Michael Felsberg, Fredrik Gustafsson, Susanne Åkesson, Emlen funnel experiments revisited: methods update for studying compass orientation in songbirds, Ecology and Evolution 6:6930-6942 (2016)
https://doi.org/10.1002/ece3.2383
Michael Felsberg, Kristoffer Öfjäll, Reiner Lenz, Unbiased decoding of biologically motivated visual feature descriptors, Frontiers in Robotics and AI 2 (2015)
https://doi.org/10.3389/frobt.2015.00020
Fahad Shahbaz Khan, Rao Muhammad Anwer, Joost van de Weijer, Michael Felsberg, Jorma Laaksonen, Compact color–texture description for texture classification, Pattern Recognition Letters 51:16-22 (2015)
https://doi.org/10.1016/j.patrec.2014.07.020
Fahad Khan, Joost van de Weijer, Rao Muhammad Anwer, Michael Felsberg, Carlo Gatta, Semantic Pyramids for Gender and Action Recognition, IEEE Transactions on Image Processing 23:3633-3645 (2014)
https://doi.org/10.1109/TIP.2014.2331759
Fahad Shahbaz Khan, Shida Beigpour, Joost van de Weijer, Michael Felsberg, Painting-91, Machine Vision and Applications 25:1385-1397 (2014)
https://doi.org/10.1007/s00138-014-0621-6
Michael Felsberg, Fredrik Larsson, Johan Wiklund, Niclas Wadströmer, Jörgen Ahlberg, Online Learning of Correspondences between Images, IEEE Transactions on Pattern Analysis and Machine Intelligence 35:118-129 (2013)
https://doi.org/10.1109/TPAMI.2012.65
David Windridge, Michael Felsberg, Affan Shaukat, A Framework for Hierarchical Perception–Action Learning Utilizing Fuzzy Reasoning, IEEE transactions on systems, man and cybernetics B 43:155-169 (2013)
https://doi.org/10.1109/TSMCB.2012.2202109
Fahad Shahbaz Khan, Muhammad Anwer Rao, Joost van de Weijer, Andrew Bagdanov, Antonio Lopez, Michael Felsberg, Coloring Action Recognition in Still Images, International Journal of Computer Vision 105:205-221 (2013)
https://doi.org/10.1007/s11263-013-0633-0
Vasileios Zografos, Reiner Lenz, Michael Felsberg, The Weibull manifold in low-level image processing: an application to automatic image focusing., Image and Vision Computing 31:401-417 (2013)
https://doi.org/10.1016/j.imavis.2013.03.004
Michael Felsberg, Autocorrelation-Driven Diffusion Filtering, IEEE Transactions on Image Processing 20:1797-1806 (2011)
https://doi.org/10.1109/TIP.2011.2107330
Fredrik Larsson, Michael Felsberg, Per-Erik Forssen, Correlating Fourier descriptors of local patches for road sign recognition, IET Computer Vision 5:244-254 (2011)
https://doi.org/10.1049/iet-cvi.2010.0040
Michael Felsberg, Sinan Kalkan, Norbert Krüger, Continuous dimensionality characterization of image structures, Image and Vision Computing 27:628-636 (2009)
https://doi.org/10.1016/j.imavis.2008.06.018
Michael Felsberg, Johan Wiklund, Gösta Granlund, Exploratory learning structures in artificial cognitive systems, Image and Vision Computing 27:1671-1687 (2009)
https://doi.org/10.1016/j.imavis.2009.02.012
Erik Jonsson, Michael Felsberg, Efficient computation of channel-coded feature maps through piecewise polynomials, Image and Vision Computing 27:1688-1694 (2009)
https://doi.org/10.1016/j.imavis.2008.11.002
Fredrik Larsson, Erik Jonsson, Michael Felsberg, Simultaneously learning to recognize and control a low-cost robotic arm, Image and Vision Computing 27:1729-1739 (2009)
https://doi.org/10.1016/j.imavis.2009.04.003
Michael Felsberg, COSPAL – A Study on Artificial Cognitive Systems, Engineering & technology 3 (2008)
Michael Felsberg, Johan Hedborg, Real-Time View-Based Pose Recognition and Interpolation for Tracking Initialization, Journal of Real-Time Image Processing 2:103-115 (2007)
https://doi.org/10.1007/s11554-007-0044-y
Michael Felsberg, Reinhard Koch, Editorial for the special issue on markerless real-time tracking for augmented reality image synthesis, Journal of Real-Time Image Processing 2:67-68 (2007)
https://doi.org/10.1007/s11554-007-0047-8
Jigna Chandaria, Graham Thomas, Bogumil Bartczak, Reinhard Koch, Mario Becker, Gabriele Bleser, Didier Stricker, Cedric Wohlleber, Fredrik Gustafsson, Michael Felsberg, Jeroen Hol, Thomas Schön, Johan Skoglund, Per Slycke, Sebastiaan Smeitz, Real-Time Camera Tracking in the MATRIS Project, Smpte Journal 116:266-271 (2007)
Remco Duits, Michael Felsberg, Gösta Granlund, Bart M. ter Haar Romeny, Image Analysis and Reconstruction using a Wavelet Transform Constructed from a Reducible Representation of the Euclidean Motion Group, International Journal of Computer Vision 72:79-102 (2007)
https://doi.org/10.1007/s11263-006-8894-5
Michael Felsberg, P.-E. Forssen, H. Scharr, Channel smoothing, IEEE Transactions on Pattern Analysis and Machine Intelligence 28:209-222 (2006)
https://doi.org/10.1109/TPAMI.2006.29
Michael Felsberg, R. Duits, L. Florack, The Monogenic Scale Space on a Rectangular Domain and its Features, International Journal of Computer Vision 64 (2005)
Michael Felsberg, Gerald Sommer, The Monogenic Scale-Space, Journal of Mathematical Imaging and Vision 21 (2004)
N. Kruger, Michael Felsberg, An explicit and compact coding of geometric and structural image information applied to stereo processing, Pattern Recognition Letters 25:849-863 (2004)
https://doi.org/10.1016/j.patrec.2004.01.021
Michael Felsberg, Gerald Sommer, The monogenic signal, IEEE Transactions on Signal Processing 49:3136-3144 (2001)
https://doi.org/10.1109/78.969520
Books
Michael Felsberg, Probabilistic and biologically inspired feature representations, Synthesis Lectures on Computer Vision, Morgan & Claypool Publishers, San Rafael (2018)
https://doi.org/10.2200/S00851ED1V01Y201804COV016
Collections (editor)
Rama Chellappa, Anders Heyden, Denis Laurendeau, Michael Felsberg, Magnus Borga, Special issue on ICPR 2014 awarded papers, Pattern Recognition Letters-Vol. 72, Elsevier (2016)
https://doi.org/10.1016/j.patrec.2016.02.006
Proceedings (editor)
Rikke Gade, Michael Felsberg, Joni-Kristian Kämäräinen, Image Analysis, Lecture Notes in Computer Science-13885, Springer Nature Switzerland (2023)
https://doi.org/10.1007/978-3-031-31435-3
Rikke Gade, Michael Felsberg, Joni-Kristian Kämäräinen, Image Analysis, Lecture Notes in Computer Science-13886, Springer Nature Switzerland (2023)
https://doi.org/10.1007/978-3-031-31438-4
Michael Felsberg, Per-Erik Forssén, Ida-Maria Sintorn, Jonas Unger, Image Analysis, Image Processing, Computer Vision, Pattern Recognition, and Graphics-11482, Springer (2019)
https://doi.org/10.1007/978-3-030-20205-7
Michael Felsberg, Anders Heyden, Norbert Krüger, Computer Analysis of Images and Patterns, Lecture Notes in Computer Science-10425, Springer (2017)
https://doi.org/10.1007/978-3-319-64698-5
Michael Felsberg, Anders Heyden, Norbert Krüger, Computer Analysis of Images and Patterns, Lecture Notes in Computer Science-10424, Springer, Cham (2017)
https://doi.org/10.1007/978-3-319-64689-3
Anders Heyden, Denis Laurendeau, Michael Felsberg, Magnus Borga, Proceedings. 22nd International Conferenceon Pattern Recognition ICPR 2014, 24-28 August 2014, Stockholm, Sweden, Conference on Pattern Recognition (CPR)-1-6, IEEE conference proceedings (2014)
https://doi.org/10.1109/ICPR.2014.1
Rudolf Mester, Michael Felsberg, Pattern Recognition, Lecture Notes in Computer Science-6835, Springer (2011)
https://doi.org/10.1007/978-3-642-23123-0
Book chapters
Michael Felsberg, Visual tracking, Advanced Methods and Deep Learning in Computer Vision, E. R. Davies, Matthew A. Turk (eds.), pp. 305-336, Elsevier, London (2022)
https://doi.org/10.1016/B978-0-12-822109-9.00018-7
Kristoffer Öfjäll, Michael Felsberg, Online Learning of Vision-Based Robot Control during Autonomous Operation, New Development in Robot Vision, Yu Sun, Aman Behal and Chi-Kit Ronald Chung (eds.), Cognitive Systems Monographs, pp. 137-156, Springer Berlin/Heidelberg (2015)
https://doi.org/10.1007/978-3-662-43859-6_8
Michael Felsberg, Adaptive Filtering using Channel Representations, Mathematical Methods for Signal and Image Analysis and Representation, Luc Florack, Remco Duits, Geurt Jongbloed, Marie-Colette Lieshout, Laurie Davies (eds.), Computational Imaging and Vision, pp. 31-48, Springer London (2012)
https://doi.org/10.1007/978-1-4471-2353-8_2
Datasets
Michael Felsberg, Autocorrelation-Driven Diffusion Filtering (2011) https://liu.diva-portal.org/smash/get/diva2:1175862/SOFTWARE01.zip
Reports
Michael Felsberg, Five years after the Deep Learning revolution of computer vision, Linköping University Electronic Press, Linköping (2017)
Bertil Grelsson, Michael Felsberg, Performance boost in Convolutional Neural Networks by tuning shifted activation functions (2017)
Michael Felsberg, Johan Wiklund, Erik Jonsson, Anders Moe, Gösta Granlund, Exploratory Learning Structure in Artificial Cognitive Systems, LiTH-ISY-R-2738, Linköping University Electronic Press, Linköping (2006)
Erik Jonsson, Michael Felsberg, Gösta Granlund, Incremental Associative Learning, LiTH-ISY-R-2691, ISY, Linköping (2005)
Michael Felsberg, The GET Operator, LiTH-ISY-R-2633, Linköping University, Department of Electrical Engineering, Linköping, Sweden (2004)
Michael Felsberg, Hanno Scharr, Per-Erik Forssén, B-spline channel smoothing for robust estimation , LITH-ISY-R-2579 (2004)
Michael Felsberg, Per-Erik Forssen, Hanno Scharr, B-Spline Channel Smoothing for Robust Estimation, LiTH-ISY-R-2579, Linköping University, Department of Electrical Engineering, Linköping, Sweden (2004)
Michael Felsberg, Per-Erik Forssen, Hanno Scharr, Efficient Robust Smoothing of Low-Level Signal Features, LiTH-ISY-R-2619, Linköping University, Department of Electrical Engineering, Linköping, Sweden (2004)
Michael Felsberg, Norbert Kruger, A Probabilistic Definition of Intrinsic Dimensionality for Images, LiTH-ISY-R-2520, Linköping University, Department of Electrical Engineering, Linköping, Sweden (2003)
Michael Felsberg, Gerald Sommer, The Poisson Scale-Space: A Unified Approach to Phase-Based Image Processing in Scale-Space, LiTH-ISY-R-2453, Linköping University, Department of Electrical Engineering, Linköping, Sweden (2002)
Michael Felsberg, Hanno Scharr, Per-Erik Forssen, The B-Spline Channel Representation: Channel Algebra and Channel Based Diffusion Filtering, LiTH-ISY-R-2461, Linköping University, Department of Electrical Engineering, Linköping, Sweden (2002)
Preprints
2023
Arvi Jonnarth, Jie Zhao, Michael Felsberg, Learning Coverage Paths in Unknown Environments with Deep Reinforcement Learning (2023) https://arxiv.org/abs/2306.16978
Emanuel Sanchez Aimar, Nathaniel Helgesen, Yonghao Xu, Marco Kuhlmann, Michael Felsberg, Flexible Distribution Alignment: Towards Long-tailed Semi-supervised Learning with Proper Calibration (2023) https://arxiv.org/abs/2306.04621
Georg Bökman, Johan Edstedt, Michael Felsberg, Fredrik Kahl, Steerers: A framework for rotation equivariant keypoint descriptors (2023) https://arxiv.org/abs/2312.02152
Hannah Helgesen, Michael Felsberg, Jan-Åke Larsson, Certainty In, Certainty Out: REVQCs for Quantum Machine Learning (2023) https://arxiv.org/abs/2310.10629
Jie Zhao, Johan Edstedt, Michael Felsberg, Dong Wang, Huchuan Lu, Leveraging the Power of Data Augmentation for Transformer-based Tracking (2023) https://arxiv.org/abs/2309.08264
Qiyu Sun, Huilin Chen, Meng Zheng, Ziyan Wu, Michael Felsberg, Yang Tang, IBAFormer: Intra-batch Attention Transformer for Domain Generalized Semantic Segmentation (2023) https://arxiv.org/abs/2309.06282
Qiyu Sun, Pavlo Melnyk, Michael Felsberg, Yang Tang, Learning to Augment: Hallucinating Data for Domain Generalized Segmentation (2023) https://arxiv.org/abs/2307.01703
Yushan Zhang, Andreas Robinson, Maria Magnusson, Michael Felsberg, Flow-guided Semi-supervised Video Object Segmentation (2023) https://arxiv.org/abs/2301.10492
Yushan Zhang, Johan Edstedt, Bastian Wandt, Per-Erik Forssén, Maria Magnusson, Michael Felsberg, GMSF: Global Matching Scene Flow (2023) https://arxiv.org/abs/2305.17432
2022
Emanuel Sanchez Aimar, Arvi Jonnarth, Michael Felsberg, Marco Kuhlmann, Balanced Product of Calibrated Experts for Long-Tailed Recognition (2022) https://arxiv.org/abs/2206.05260
Karl Holmquist, Lena Klasén, Michael Felsberg, Evidential Deep Learning for Class-Incremental Semantic Segmentation (2022) https://arxiv.org/abs/2212.02863
Oliver Stromann, Alireza Razavi, Michael Felsberg, Visual Feature Encoding for GNNs on Road Networks (2022) https://arxiv.org/abs/2203.01187
Omkar Thawakar, Sanath Narayan, Jiale Cao, Hisham Cholakkal, Rao Muhammad Anwer, Muhammad Haris Khan, Salman Khan, Michael Felsberg, Fahad Shahbaz Khan, Video Instance Segmentation via Multi-scale Spatio-temporal Split Attention Transformer (2022) https://arxiv.org/abs/2203.13253
2021
Abdelrahman Eldesokey, Michael Felsberg, Normalized Convolution Upsampling for Refined Optical Flow Estimation (2021) https://arxiv.org/abs/2102.06979
Ankan Kumar Bhunia, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan, Jorma Laaksonen, Michael Felsberg, DoodleFormer: Creative Sketch Drawing with Transformers (2021) https://arxiv.org/abs/2112.03258
Joakim Johnander, Johan Edstedt, Michael Felsberg, Fahad Shahbaz Khan, Martin Danelljan, Dense Gaussian Processes for Few-Shot Segmentation (2021) https://arxiv.org/abs/2110.03674
Joakim Johnander, Johan Edstedt, Martin Danelljan, Michael Felsberg, Fahad Shahbaz Khan, Deep Gaussian Processes for Few-Shot Segmentation (2021) https://arxiv.org/abs/2103.16549
Johan Edstedt, Amanda Berg, Michael Felsberg, Johan Karlsson, Francisca Benavente, Anette Novak, Gustav Grund Pihlgren, VidHarm: A Clip Based Dataset for Harmful Content Detection (2021) https://arxiv.org/abs/2106.08323
Oliver Stromann, Alireza Razavi, Michael Felsberg, Learning to integrate vision data into road network data (2021) https://arxiv.org/abs/2112.10624
Sajid Javed, Martin Danelljan, Fahad Shahbaz Khan, Muhammad Haris Khan, Michael Felsberg, Jiri Matas, Visual Object Tracking with Discriminative Filters and Siamese Networks: A Survey and Outlook (2021) https://arxiv.org/abs/2112.02838
2020
Abdelrahman Eldesokey, Michael Felsberg, Karl Holmquist, Mikael Persson, Uncertainty-Aware CNNs for Depth Completion: Uncertainty from Beginning to End (2020) https://arxiv.org/abs/2006.03349
Andreas Robinson, Felix Järemo Lawin, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg, Learning Fast and Robust Target Models for Video Object Segmentation (2020) https://arxiv.org/abs/2003.00908
Goutam Bhat, Felix Järemo Lawin, Martin Danelljan, Andreas Robinson, Michael Felsberg, Luc Van Gool, Radu Timofte, Learning What to Learn for Video Object Segmentation (2020) https://arxiv.org/abs/2003.11540
Joakim Johnander, Emil Brissman, Martin Danelljan, Michael Felsberg, Learning Video Instance Segmentation with Recurrent Graph Neural Networks (2020) https://arxiv.org/abs/2012.03911
2019
Amanda Berg, Jörgen Ahlberg, Michael Felsberg, Unsupervised Learning of Anomaly Detection from Contaminated Image Data using Simultaneous Encoder Training (2019) https://arxiv.org/abs/1905.11034
Andreas Robinson, Felix Järemo Lawin, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg, Discriminative Online Learning for Fast Video Object Segmentation (2019) https://arxiv.org/abs/1904.08630
Tobias Klamt, Diego Rodriguez, Lorenzo Baccelliere, Xi Chen, Domenico Chiaradia, Torben Cichon, Massimiliano Gabardi, Paolo Guria, Karl Holmquist, Malgorzata Kamedula, Hakan Karaoguz, Navvab Kashiri, Arturo Laurenzi, Christian Lenz, Daniele Leonardis, Enrico Mingo Hoffman, Luca Muratore, Dmytro Pavlichenko, Francesco Porcini, Zeyu Ren, Fabian Schilling, Max Schwarz, Massimiliano Solazzi, Michael Felsberg, Antonio Frisoli, Michael Gustmann, Patric Jensfelt, Klas Nordberg, Jürgen Roßmann, Uwe Süss, Nikos G. Tsagarakis, Sven Behnke, Flexible Disaster Response of Tomorrow – Final Presentation and Evaluation of the CENTAURO System (2019) https://arxiv.org/abs/1909.08812
2018
Abdelrahman Eldesokey, Michael Felsberg, Fahad Shahbaz Khan, Propagating Confidences through CNNs for Sparse Data Regression (2018) https://arxiv.org/abs/1805.11913
Goutam Bhat, Joakim Johnander, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg, Unveiling the Power of Deep Tracking (2018) https://arxiv.org/abs/1804.06833
Joakim Johnander, Martin Danelljan, Emil Brissman, Fahad Shahbaz Khan, Michael Felsberg, A Generative Appearance Model for End-to-end Video Object Segmentation (2018) https://arxiv.org/abs/1811.11611
Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg, ATOM: Accurate Tracking by Overlap Maximization (2018) https://arxiv.org/abs/1811.07628
2017
Felix Järemo Lawin, Martin Danelljan, Patrik Tosteberg, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg, Deep Projective 3D Semantic Segmentation (2017) https://arxiv.org/abs/1705.03428
Joakim Johnander, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg, DCCO: Towards Deformable Continuous Convolution Operators (2017) https://arxiv.org/abs/1706.02888
2016
Erik Jonsson, Michael Felsberg, Efficient Robust Mean Value Calculation of 1D Features (2016) https://arxiv.org/abs/1601.08003
Kristoffer Öfjäll, Michael Felsberg, Combining Vision, Machine Learning and Automatic Control to Play the Labyrinth Game (2016) https://arxiv.org/abs/1604.00975
Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg, ECO: Efficient Convolution Operators for Tracking (2016) https://arxiv.org/abs/1611.09224
Martin Danelljan, Gustav Häger, Fahad Shahbaz Khan, Michael Felsberg, Adaptive Decontamination of the Training Set: A Unified Formulation for Discriminative Visual Tracking (2016) https://arxiv.org/abs/1609.06118
Martin Danelljan, Gustav Häger, Fahad Shahbaz Khan, Michael Felsberg, Discriminative Scale Space Tracking (2016) https://arxiv.org/abs/1609.06141
Susanna Gladh, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg, Deep Motion Features for Visual Tracking (2016) https://arxiv.org/abs/1612.06615
In compilation thesis
Johan Hedborg, Michael Felsberg, Fast Iterative Five point Relative Pose Estimation, Part of
Motion and Structure Estimation From Video, Johan Hedborg, Linköping Studies in Science and Technology. Dissertations 1449, Linköping University Electronic Press, Linköping (2012)