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Felix Järemo Lawin
Felix Järemo Lawin
Verified email at liu.se
Title
Cited by
Cited by
Year
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
2162017
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
1012020
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
682020
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
622020
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
402018
Efficient multi-frequency phase unwrapping using kernel density estimation
FJ Lawin, PE Forssén, H Ovrén
European Conference on Computer Vision, 170-185, 2016
292016
Depth Data Processing and 3D Reconstruction Using the Kinect v2
F Järemo Lawin
102015
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
92019
Registration Loss Learning for Deep Probabilistic Point Set Registration
FJ Lawin, PE Forssén
2020 International Conference on 3D Vision (3DV), 563-572, 2020
62020
Assessing Losses for Point Set Registration
ACM Tavares, FJ Lawin, PE Forssén
IEEE Robotics and Automation Letters 5 (2), 3360-3367, 2020
42020
Discriminative Online Learning for Fast Video Object Segmentation
A Robinson, FJ Lawin, M Danelljan, FS Khan, M Felsberg
arXiv preprint arXiv:1904.08630, 2019
32019
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
22019
Learning Representations for Segmentation and Registration
F Järemo Lawin
Linköping University Electronic Press, 2021
2021
Supplemental Material for Paper: Efficient Multi-Frequency Phase Unwrapping using Kernel Density Estimation
FJ Lawin, PE Forssén, H Ovrén
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Articles 1–14