Arvi Jonnarth

According to our database, Arvi Jonnarth authored at least 10 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Learning Robot Vision under Insufficient Data.

Arvi Jonnarth

PhD thesis, 2024

Sim-to-real Transfer of Deep Reinforcement Learning Agents for Online Coverage Path Planning.

Arvi Jonnarth, Ola Johansson, Michael Felsberg

CoRR, 2024

High-fidelity Pseudo-labels for Boosting Weakly-Supervised Segmentation.

Arvi Jonnarth, Yushan Zhang, Michael Felsberg

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Learning Coverage Paths in Unknown Environments with Deep Reinforcement Learning.

Arvi Jonnarth, Jie Zhao, Michael Felsberg

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Hinge-Wasserstein: Estimating Multimodal Aleatoric Uncertainty in Regression Tasks.

Ziliang Xiong, Arvi Jonnarth, Abdelrahman Eldesokey, Joakim Johnander, Bastian Wandt, Per-Erik Forssén

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

End-to-end Reinforcement Learning for Online Coverage Path Planning in Unknown Environments.

Arvi Jonnarth, Jie Zhao, Michael Felsberg

CoRR, 2023

Balanced Product of Calibrated Experts for Long-Tailed Recognition.

Emanuel Sanchez Aimar, Arvi Jonnarth, Michael Felsberg, Marco Kuhlmann

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Balanced Product of Experts for Long-Tailed Recognition.

Emanuel Sanchez Aimar, Arvi Jonnarth, Michael Felsberg, Marco Kuhlmann

CoRR, 2022

Activation-Based Sampling for Pixel- to Image-Level Aggregation in Weakly-Supervised Segmentation.

Arvi Jonnarth, Michael Felsberg, Yushan Zhang

CoRR, 2022

Importance Sampling Cams For Weakly-Supervised Segmentation.

Arvi Jonnarth, Michael Felsberg

Proceedings of the IEEE International Conference on Acoustics, 2022