Arvi Jonnarth

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

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, 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, 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