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
Ioannis Athanasiadis, Shashi Nagarajan, Fredrik Lindsten, Michael Felsberg, Prior Learning in Introspective VAEs (2024) https://arxiv.org/abs/2408.13805
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), pp. 6455-6464, Institute of Electrical and Electronics Engineers (IEEE) (2024) https://doi.org/10.1109/wacv57701.2024.00634