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Laura Sevilla-Lara
Laura Sevilla-Lara
Reader at University of Edinburgh
Email confirmado em ed.ac.uk - Página inicial
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Distribution fields for tracking
L Sevilla-Lara, EG Learned-Miller
IEEE Conference on Computer Vision and Pattern Recognition, 2012
7352012
Adaptive prototype learning and allocation for few-shot segmentation
G Li, V Jampani, L Sevilla-Lara, D Sun, J Kim, J Kim
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
4242021
On the integration of optical flow and action recognition
L Sevilla-Lara, Y Liao, F Güney, V Jampani, A Geiger, MJ Black
Pattern Recognition: 40th German Conference, GCPR 2018, Stuttgart, Germany …, 2019
2632019
Optical flow with semantic segmentation and localized layers
L Sevilla-Lara, D Sun, V Jampani, MJ Black
Proceedings of the IEEE conference on computer vision and pattern …, 2016
2432016
Smart frame selection for action recognition
SN Gowda, M Rohrbach, L Sevilla-Lara
Proceedings of the AAAI Conference on Artificial Intelligence 35 (2), 1451-1459, 2021
1762021
Dmc-net: Generating discriminative motion cues for fast compressed video action recognition
Z Shou, X Lin, Y Kalantidis, L Sevilla-Lara, M Rohrbach, SF Chang, Z Yan
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
1592019
Optical flow in mostly rigid scenes
J Wulff, L Sevilla-Lara, MJ Black
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
1412017
Only time can tell: Discovering temporal data for temporal modeling
L Sevilla-Lara, S Zha, Z Yan, V Goswami, M Feiszli, L Torresani
Proceedings of the IEEE/CVF winter conference on applications of computer …, 2021
872021
Faster recurrent networks for efficient video classification
L Zhu, D Tran, L Sevilla-Lara, Y Yang, M Feiszli, H Wang
Proceedings of the AAAI conference on artificial intelligence 34 (07), 13098 …, 2020
772020
Optical flow estimation with channel constancy
L Sevilla-Lara, D Sun, EG Learned-Miller, MJ Black
Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014
392014
Learn2augment: learning to composite videos for data augmentation in action recognition
SN Gowda, M Rohrbach, F Keller, L Sevilla-Lara
European conference on computer vision, 242-259, 2022
382022
Locate: Localize and transfer object parts for weakly supervised affordance grounding
G Li, V Jampani, D Sun, L Sevilla-Lara
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
372023
Claster: clustering with reinforcement learning for zero-shot action recognition
SN Gowda, L Sevilla-Lara, F Keller, M Rohrbach
European Conference on Computer Vision, 187-203, 2022
322022
A new split for evaluating true zero-shot action recognition
SN Gowda, L Sevilla-Lara, K Kim, F Keller, M Rohrbach
DAGM German Conference on Pattern Recognition, 191-205, 2021
322021
Alba: Reinforcement learning for video object segmentation
SN Gowda, P Eustratiadis, T Hospedales, L Sevilla-Lara
arXiv preprint arXiv:2005.13039, 2020
152020
Automated looping video creation
L Sevilla-Lara, E Shechtman, KK Sunkavalli
US Patent 9,672,866, 2017
122017
" What Is Optical Flow for?": Workshop Results and Summary
F Guney, L Sevilla-Lara, D Sun, J Wulff
Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018
92018
Smooth loops from unconstrained video
L Sevilla‐Lara, J Wulff, K Sunkavalli, E Shechtman
Computer Graphics Forum 34 (4), 99-107, 2015
92015
One-shot open affordance learning with foundation models
G Li, D Sun, L Sevilla-Lara, V Jampani
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
82024
Watt for what: Rethinking deep learning's energy-performance relationship
SN Gowda, X Hao, G Li, SN Gowda, X Jin, L Sevilla-Lara
arXiv preprint arXiv:2310.06522, 2023
82023
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