Felix Jńremo Lawin
Felix Jńremo 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
1022017
Density Adaptive Point Set Registration
FJ Lawin, M Danelljan, FS Khan, PE ForssÚn, M Felsberg
arXiv preprint arXiv:1804.01495, 2018
252018
Efficient multi-frequency phase unwrapping using kernel density estimation
FJ Lawin, PE ForssÚn, H OvrÚn
European Conference on Computer Vision, 170-185, 2016
192016
Learning Fast and Robust Target Models for Video Object Segmentation
A Robinson, FJ Lawin, M Danelljan, FS Khan, M Felsberg
arXiv preprint arXiv:2003.00908, 2020
122020
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
62020
Discriminative Online Learning for Fast Video Object Segmentation
A Robinson, FJ Lawin, M Danelljan, FS Khan, M Felsberg
arXiv preprint arXiv:1904.08630, 2019
22019
Assessing Losses for Point Set Registration
ACM Tavares, FJ Lawin, PE ForssÚn
IEEE Robotics and Automation Letters 5 (2), 3360-3367, 2020
12020
Learning What to Learn for Video Object Segmentation
B Goutam, F Jńremo Lawin, M Danelljan, A Robinson, M Felsberg, ...
16th European Conference on Computer Vision, 2020
12020
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
12019
Registration Loss Learning for Deep Probabilistic Point Set Registration
FJ Lawin, PE ForssÚn
arXiv preprint arXiv:2011.02229, 2020
2020
Depth Data Processing and 3D Reconstruction Using the Kinect v2
F Jńremo Lawin
2015
Supplemental Material for Paper: Efficient Multi-Frequency Phase Unwrapping using Kernel Density Estimation
FJ Lawin, PE ForssÚn, H OvrÚn
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Articles 1–12