Joakim Johnander Faxén

Publication list

Journal papers

Sandra Carrasco Limeros, Sylwia Majchrowska, Joakim Johnander, Christoffer Petersson, Miguel Angel Sotelo, David Fernandez Llorca, Towards trustworthy multi-modal motion prediction: Holistic evaluation and interpretability of outputs, CAAI TRANSACTIONS ON INTELLIGENCE TECHNOLOGY 9:557-572 (2024) https://doi.org/10.1049/cit2.12244

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

Sandra Carrasco Limeros, Sylwia Majchrowska, Joakim Johnander Faxén, Christoffer Petersson, David Fernandez Llorca, Towards explainable motion prediction using heterogeneous graph representations, Transportation Research Part C 157:104405 (2023) https://doi.org/10.1016/j.trc.2023.104405

Conference papers

Isak Meding, Alexander Bodin, Adam Tonderski, Joakim Johnander Faxén, Christoffer Petersson, Lennart Svensson, You can have your ensemble and run it too - Deep Ensembles Spread Over Time, 2023 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS, ICCVW, IEEE International Conference on Computer Vision Workshops, pp. 4022-4031, IEEE COMPUTER SOC (2023) https://doi.org/10.1109/ICCVW60793.2023.00434

Isak Meding, Alexander Bodin, Adam Tonderski, Joakim Johnander, Christoffer Petersson, Lennart Svensson, You can have your ensemble and run it too – Deep Ensembles Spread Over Time, Proceedings of the IEEE/CVF International Conference on Computer Vision, pp. 4020-4029, Institute of Electrical and Electronics Engineers (IEEE) (2023)

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

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

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

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

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

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

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

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

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

PhD theses

Joakim Johnander, Dynamic Visual Learning, Linköping Studies in Science and Technology. Dissertations 2196, Linköping University Electronic Press, Linköping (2022) https://doi.org/10.3384/9789179291488