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Felix Järemo Lawin
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2020 – today
- 2023
- [i8]Zahra Gharaee
, Felix Järemo Lawin, Per-Erik Forssén:
Self-supervised learning of object pose estimation using keypoint prediction. CoRR abs/2302.07360 (2023) - 2022
- [c9]Matej Kristan, Ales Leonardis, Jirí Matas, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Hyung Jin Chang, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Johanna Björklund, Yushan Zhang, Zhongqun Zhang, Song Yan, Wenyan Yang, Dingding Cai, Christoph Mayer, Gustavo Fernández, Kang Ben, Goutam Bhat, Hong Chang, Guangqi Chen, Jiaye Chen, Shengyong Chen, Xilin Chen, Xin Chen, Xiuyi Chen, Yiwei Chen, Yu-Hsi Chen, Zhixing Chen, Yangming Cheng, Angelo Ciaramella, Yutao Cui, Benjamin Dzubur, Mohana Murali Dasari, Qili Deng, Debajyoti Dhar, Shangzhe Di, Emanuel Di Nardo, Daniel K. Du, Matteo Dunnhofer, Heng Fan, Zhen-Hua Feng, Zhihong Fu, Shang Gao, Rama Krishna Gorthi, Eric Granger
The Tenth Visual Object Tracking VOT2022 Challenge Results. ECCV Workshops (8) 2022: 431-460 - 2021
- [b1]Felix Järemo Lawin:
Learning Representations for Segmentation and Registration. Linköping University, Sweden, 2021 - [c8]Matej Kristan, Jirí Matas
The Ninth Visual Object Tracking VOT2021 Challenge Results. ICCVW 2021: 2711-2738 - 2020
- [j1]Anderson C. M. Tavares
Assessing Losses for Point Set Registration. IEEE Robotics Autom. Lett. 5(2): 3360-3367 (2020) - [c7]Felix Järemo Lawin, Per-Erik Forssén:
Registration Loss Learning for Deep Probabilistic Point Set Registration. 3DV 2020: 563-572 - [c6]Andreas Robinson, Felix Järemo Lawin, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg:
Learning Fast and Robust Target Models for Video Object Segmentation. CVPR 2020: 7404-7413 - [c5]Matej Kristan, Ales Leonardis, Jiri Matas
The Eighth Visual Object Tracking VOT2020 Challenge Results. ECCV Workshops (5) 2020: 547-601 - [c4]Goutam Bhat, Felix Järemo Lawin, Martin Danelljan, Andreas Robinson, Michael Felsberg, Luc Van Gool, Radu Timofte
Learning What to Learn for Video Object Segmentation. ECCV (2) 2020: 777-794 - [i7]Andreas Robinson, Felix Järemo Lawin, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg:
Learning Fast and Robust Target Models for Video Object Segmentation. CoRR abs/2003.00908 (2020) - [i6]Goutam Bhat, Felix Järemo Lawin, Martin Danelljan, Andreas Robinson, Michael Felsberg, Luc Van Gool, Radu Timofte:
Learning What to Learn for Video Object Segmentation. CoRR abs/2003.11540 (2020) - [i5]Felix Järemo Lawin, Per-Erik Forssén:
Registration Loss Learning for Deep Probabilistic Point Set Registration. CoRR abs/2011.02229 (2020)
2010 – 2019
- 2019
- [i4]Andreas Robinson, Felix Järemo Lawin, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg:
Discriminative Online Learning for Fast Video Object Segmentation. CoRR abs/1904.08630 (2019) - 2018
- [c3]Felix Järemo Lawin, Martin Danelljan, Fahad Shahbaz Khan
Density Adaptive Point Set Registration. CVPR 2018: 3829-3837 - [i3]Felix Järemo Lawin, Martin Danelljan, Fahad Shahbaz Khan, Per-Erik Forssén, Michael Felsberg:
Density Adaptive Point Set Registration. CoRR abs/1804.01495 (2018) - 2017
- [c2]Felix Järemo Lawin, Martin Danelljan, Patrik Tosteberg, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg
Deep Projective 3D Semantic Segmentation. CAIP (1) 2017: 95-107 - [i2]Felix Järemo Lawin, Martin Danelljan, Patrik Tosteberg, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg:
Deep Projective 3D Semantic Segmentation. CoRR abs/1705.03428 (2017) - 2016
- [c1]Felix Järemo Lawin, Per-Erik Forssén, Hannes Ovren
Efficient Multi-frequency Phase Unwrapping Using Kernel Density Estimation. ECCV (4) 2016: 170-185 - [i1]Felix Järemo Lawin, Per-Erik Forssén, Hannes Ovren:
Efficient Multi-Frequency Phase Unwrapping using Kernel Density Estimation. CoRR abs/1608.05209 (2016)
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