Importance Sampling Cams For Weakly-Supervised Segmentation. - Arvi Jonnarth; Michael Felsberg (ICASSP, 2022)

Activation-Based Sampling for Pixel- to Image-Level Aggregation in Weakly-Supervised Segmentation. - Arvi Jonnarth; Michael Felsberg; Yushan Zhang (CoRR, 2022)

Balanced Product of Experts for Long-Tailed Recognition. - Emanuel Sanchez Aimar; Arvi Jonnarth; Michael Felsberg; Marco Kuhlmann (CoRR, 2022)

Balanced Product of Calibrated Experts for Long-Tailed Recognition. - Emanuel Sanchez Aimar; Arvi Jonnarth; Michael Felsberg; Marco Kuhlmann (CVPR, 2023)

End-to-end Reinforcement Learning for Online Coverage Path Planning in Unknown Environments. - Arvi Jonnarth; Jie Zhao 014; Michael Felsberg (CoRR, 2023)

Hinge-Wasserstein: Estimating Multimodal Aleatoric Uncertainty in Regression Tasks. - Ziliang Xiong; Arvi Jonnarth; Abdelrahman Eldesokey; Joakim Johnander; Bastian Wandt; Per-Erik Forssén (CVPR Workshops, 2024)

Learning Coverage Paths in Unknown Environments with Deep Reinforcement Learning. - Arvi Jonnarth; Jie Zhao 014; Michael Felsberg (ICML, 2024)

High-fidelity Pseudo-labels for Boosting Weakly-Supervised Segmentation. - Arvi Jonnarth; Yushan Zhang; Michael Felsberg (WACV, 2024)

Sim-to-real Transfer of Deep Reinforcement Learning Agents for Online Coverage Path Planning. - Arvi Jonnarth; Ola Johansson; Michael Felsberg (CoRR, 2024)

Learning Robot Vision under Insufficient Data. - Arvi Jonnarth (2024)

Sim-to-Real Transfer of Deep Reinforcement Learning Agents for Online Coverage Path Planning. - Arvi Jonnarth; Ola Johansson; Jie Zhao 014; Michael Felsberg (IEEE Access, 2025)