| Classmix: Segmentation-based data augmentation for semi-supervised learning V Olsson, W Tranheden, J Pinto, L Svensson Proceedings of the IEEE/CVF winter conference on applications of computer …, 2021 | 370 | 2021 |
| Dacs: Domain adaptation via cross-domain mixed sampling W Tranheden, V Olsson, J Pinto, L Svensson Proceedings of the IEEE/CVF winter conference on applications of computer …, 2021 | 356 | 2021 |
| Next generation multitarget trackers: Random finite set methods vs transformer-based deep learning J Pinto, G Hess, W Ljungbergh, Y Xia, L Svensson, H Wymeersch 2021 IEEE 24th International Conference on Information Fusion (FUSION), 1-8, 2021 | 20 | 2021 |
| An uncertainty-aware performance measure for multi-object tracking J Pinto, Y Xia, L Svensson, H Wymeersch IEEE Signal Processing Letters 28, 1689-1693, 2021 | 16 | 2021 |
| Can deep learning be applied to model-based multi-object tracking? J Pinto, G Hess, W Ljungbergh, Y Xia, H Wymeersch, L Svensson arXiv preprint arXiv:2202.07909, 2022 | 13 | 2022 |
| Masknet: An instance segmentation algorithm J Pinto Dept of Signals and Systems, Chalmers University of Technology, Sweden, 2017 | 6 | 2017 |
| Deep Learning for Model-Based Multiobject Tracking J Pinto, G Hess, W Ljungbergh, Y Xia, H Wymeersch, L Svensson IEEE Transactions on Aerospace and Electronic Systems 59 (6), 7363-7379, 2023 | 4 | 2023 |
| Bayesian linear regression on deep representations J Moberg, L Svensson, J Pinto, H Wymeersch arXiv preprint arXiv:1912.06760, 2019 | 4 | 2019 |
| Transformer-Based Multi-Object Smoothing with Decoupled Data Association and Smoothing J Pinto, G Hess, Y Xia, H Wymeersch, L Svensson arXiv preprint arXiv:2312.17261, 2023 | 2 | 2023 |
| Masknet: An instance segmentation algorithm-Leveraging object detection and semantic segmentation to tackle instance segmentation J Pinto | | 2017 |
Lennart SvenssonProfessor in Signal Processing, Chalmers University of TechnologyVerified email at chalmers.se
