| Balanced product of calibrated experts for long-tailed recognition ES Aimar, A Jonnarth, M Felsberg, M Kuhlmann Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 14 | 2023 |
| Camera-based friction estimation with deep convolutional neural networks A Jonnarth | 10 | 2018 |
| Importance sampling cams for weakly-supervised segmentation A Jonnarth, M Felsberg ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 4 | 2022 |
| End-to-end Reinforcement Learning for Online Coverage Path Planning in Unknown Environments A Jonnarth, J Zhao, M Felsberg arXiv preprint arXiv:2306.16978, 2023 | 2 | 2023 |
| Importance Sampling CAMs for Weakly-Supervised Segmentation with Highly Accurate Contours A Jonnarth, M Felsberg, Y Zhang arXiv preprint arXiv:2203.12459, 2022 | 1* | 2022 |
| High-fidelity Pseudo-labels for Boosting Weakly-Supervised Segmentation A Jonnarth, Y Zhang, M Felsberg Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | | 2024 |
| Learning Coverage Paths in Unknown Environments with Reinforcement Learning A Jonnarth, J Zhao, M Felsberg | | 2023 |
| Balanced Product of Experts for Long-Tailed Recognition E Sanchez Aimar, A Jonnarth, M Felsberg, M Kuhlmann arXiv e-prints, arXiv: 2206.05260, 2022 | | 2022 |
| Monte Carlo methods applied to tree-structured decision processes M Bertolino, A Jonnarth | | 2017 |
