| Deep projective 3D semantic segmentation FJ Lawin, M Danelljan, P Tosteberg, G Bhat, FS Khan, M Felsberg International Conference on Computer Analysis of Images and Patterns, 95-107, 2017 | 388 | 2017 |
| The eighth visual object tracking VOT2020 challenge results M Kristan, A Leonardis, J Matas, M Felsberg, R Pflugfelder, ... European Conference on Computer Vision, 547-601, 2020 | 311 | 2020 |
| Learning what to learn for video object segmentation G Bhat, FJ Lawin, M Danelljan, A Robinson, M Felsberg, L Van Gool, ... European Conference on Computer Vision, 777-794, 2020 | 162 | 2020 |
| Learning fast and robust target models for video object segmentation A Robinson, FJ Lawin, M Danelljan, FS Khan, M Felsberg Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 146 | 2020 |
| Density adaptive point set registration FJ Lawin, M Danelljan, FS Khan, PE Forssén, M Felsberg Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 58 | 2018 |
| Efficient multi-frequency phase unwrapping using kernel density estimation FJ Lawin, PE Forssén, H Ovrén European Conference on Computer Vision, 170-185, 2016 | 34 | 2016 |
| Depth Data Processing and 3D Reconstruction Using the Kinect v2 F Järemo Lawin | 12 | 2015 |
| Object-based spatial similarity for semi-supervised video object segmentation B Wang, C Zheng, N Wang, S Wang, X Zhang, S Liu, S Gao, K Lu, ... Conference on Computer Vision and Pattern Recognition Workshops 2, 2019 | 9 | 2019 |
| Registration Loss Learning for Deep Probabilistic Point Set Registration FJ Lawin, PE Forssén 2020 International Conference on 3D Vision (3DV), 563-572, 2020 | 8 | 2020 |
| Assessing Losses for Point Set Registration ACM Tavares, FJ Lawin, PE Forssén IEEE Robotics and Automation Letters 5 (2), 3360-3367, 2020 | 8 | 2020 |
| Discriminative Online Learning for Fast Video Object Segmentation A Robinson, FJ Lawin, M Danelljan, FS Khan, M Felsberg arXiv preprint arXiv:1904.08630, 2019 | 3 | 2019 |
| Discriminative learning and target attention for the 2019 davis challenge on video object segmentation M Robinson, FJ Lawin, M Danelljan, M Felsberg The 2019 DAVIS Challenge on Video Object Segmentation-CVPR Workshops, 2019 | 2 | 2019 |
| Learning Representations for Segmentation and Registration F Järemo Lawin Linköping University Electronic Press, 2021 | 1 | 2021 |
| Supplemental Material for Paper: Efficient Multi-Frequency Phase Unwrapping using Kernel Density Estimation FJ Lawin, PE Forssén, H Ovrén | | |
Michael FelsbergProfessor of Computer Vision, Linköping UniversityVerified email at liu.se
