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Laura Sevilla-Lara
Laura Sevilla-Lara
Verified email at ed.ac.uk - Homepage
Title
Cited by
Cited by
Year
Distribution fields for tracking
L Sevilla-Lara, EG Learned-Miller
IEEE Conference on Computer Vision and Pattern Recognition, 2012
7332012
Distribution fields for tracking
L Sevilla-Lara, E Learned-Miller
2012 IEEE Conference on computer vision and pattern recognition, 1910-1917, 2012
6872012
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
2892021
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
2372019
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
2282016
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
1472021
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
1462019
Optical flow in mostly rigid scenes
J Wulff, L Sevilla-Lara, MJ Black
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
1342017
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
752021
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
712020
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
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
302021
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
282022
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
242022
Alba: Reinforcement learning for video object segmentation
SN Gowda, P Eustratiadis, T Hospedales, L Sevilla-Lara
arXiv preprint arXiv:2005.13039, 2020
162020
Automated looping video creation
L Sevilla-Lara, E Shechtman, KK Sunkavalli
US Patent 9,672,866, 2017
122017
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
112023
Smooth loops from unconstrained video
L Sevilla‐Lara, J Wulff, K Sunkavalli, E Shechtman
Computer Graphics Forum 34 (4), 99-107, 2015
92015
" 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
72018
Capturing temporal information in a single frame: Channel sampling strategies for action recognition
K Kim, SN Gowda, O Mac Aodha, L Sevilla-Lara
arXiv preprint arXiv:2201.10394, 2022
52022
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Articles 1–20