Arvi Jonnarth

Publication list

Recent preprints

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

Arvi Jonnarth, Jie Zhao, Michael Felsberg, Learning Coverage Paths in Unknown Environments with Deep Reinforcement Learning (2023)  https://arxiv.org/abs/2306.16978

Ziliang Xiong, Arvi Jonnarth, Abdelrahman Eldesokey, Joakim Johnander, Bastian Wandt, Per-Erik Forssen, Hinge-Wasserstein: Estimating Multimodal Aleatoric Uncertainty in Regression Tasks (2023)  https://arxiv.org/abs/2306.00560

Conference papers

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

Ziliang Xiong, Arvi Jonnarth, Abdelrahman Eldesokey, Joakim Johnander, Bastian Wandt, Per-Erik Forssén,  Hinge-Wasserstein: Estimating Multimodal Aleatoric Uncertainty in Regression Tasks, IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp. 3471-3480, IEEE (2024)  https://doi.org/10.1109/cvprw63382.2024.00351

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

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

Preprints

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

PhD theses

Arvi Jonnarth,  Learning Robot Vision under Insufficient Data, Linköping Studies in Science and Technology. Dissertations 2397, Linköping University Electronic Press, Linköping (2024)  https://doi.org/10.3384/9789180757218