Arvi Jonnarth

12 papers A* 2A 1Misc 1Journal 6Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Sim-to-Real Transfer of Deep Reinforcement Learning Agents for Online Coverage Path Planning. IEEE Access Arvi Jonnarth, Ola Johansson, Jie Zhao, Michael Felsberg
2024	A	`conf`	High-fidelity Pseudo-labels for Boosting Weakly-Supervised Segmentation. WACV Arvi Jonnarth, Yushan Zhang, Michael Felsberg
2024	—	`conf`	Hinge-Wasserstein: Estimating Multimodal Aleatoric Uncertainty in Regression Tasks. CVPR Workshops Ziliang Xiong, Arvi Jonnarth, Abdelrahman Eldesokey, Joakim Johnander, Bastian Wandt, Per-Erik Forssén
2024	A*	`conf`	Learning Coverage Paths in Unknown Environments with Deep Reinforcement Learning. ICML Arvi Jonnarth, Jie Zhao, Michael Felsberg
2024	—	`—`	Learning Robot Vision under Insufficient Data. Arvi Jonnarth
2024	J	`jnl`	Sim-to-real Transfer of Deep Reinforcement Learning Agents for Online Coverage Path Planning. CoRR Arvi Jonnarth, Ola Johansson, Michael Felsberg
2023	A*	`conf`	Balanced Product of Calibrated Experts for Long-Tailed Recognition. CVPR Emanuel Sanchez Aimar, Arvi Jonnarth, Michael Felsberg, Marco Kuhlmann
2023	J	`jnl`	End-to-end Reinforcement Learning for Online Coverage Path Planning in Unknown Environments. CoRR Arvi Jonnarth, Jie Zhao, Michael Felsberg
2023	J	`jnl`	High-fidelity Pseudo-labels for Boosting Weakly-Supervised Segmentation. CoRR Arvi Jonnarth, Yushan Zhang, Michael Felsberg
2022	J	`jnl`	Activation-Based Sampling for Pixel- to Image-Level Aggregation in Weakly-Supervised Segmentation. CoRR Arvi Jonnarth, Michael Felsberg, Yushan Zhang
2022	J	`jnl`	Balanced Product of Experts for Long-Tailed Recognition. CoRR Emanuel Sanchez Aimar, Arvi Jonnarth, Michael Felsberg, Marco Kuhlmann
2022	Misc	`conf`	Importance Sampling Cams For Weakly-Supervised Segmentation. ICASSP Arvi Jonnarth, Michael Felsberg