Laura Sevilla-Lara
Laura Sevilla-Lara
Lecturer at University of Edinburgh
Verified email at - Homepage
Cited by
Cited by
Distribution fields for tracking
L Sevilla-Lara, EG Learned-Miller
IEEE Conference on Computer Vision and Pattern Recognition, 2012
Distribution fields for tracking
L Sevilla-Lara, E Learned-Miller
2012 IEEE Conference on computer vision and pattern recognition, 1910-1917, 2012
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
On the integration of optical flow and action recognition
L Sevilla-Lara, Y Liao, F Güney, V Jampani, A Geiger, MJ Black
German Conference on Pattern Recognition, 281-297, 2018
Optical flow in mostly rigid scenes
J Wulff, L Sevilla-Lara, MJ Black
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
Optical flow estimation with channel constancy
L Sevilla-Lara, D Sun, EG Learned-Miller, MJ Black
European Conference on Computer Vision, 423-438, 2014
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 conference on computer vision and pattern …, 2019
Automated looping video creation
L Sevilla-Lara, E Shechtman, KK Sunkavalli
US Patent 9,672,866, 2017
Smooth loops from unconstrained video
L Sevilla‐Lara, J Wulff, K Sunkavalli, E Shechtman
Computer Graphics Forum 34 (4), 99-107, 2015
Only Time Can Tell: Discovering Temporal Data for Temporal Modeling
L Sevilla-Lara, S Zha, Z Yan, V Goswami, M Feiszli, L Torresani
arXiv preprint arXiv:1907.08340, 2019
Distribution Fields with Adaptive Kernels for Large Displacement Image Alignment
B Mears, L Sevilla-Lara, E Learned-Miller
BMVC 56 (3), 221-255, 2013
Distribution Fields
L Sevilla-Lara, EG Learned-Miller
UMass Amherst Technical Report, 2011
Distribution fields
LS Lara, EG Learned-Miller
Faster recurrent networks for video classification
L Zhu, L Sevilla-Lara, D Tran, M Feiszli, Y Yang, H Wang
arXiv preprint arXiv:1906.04226 2, 2019
" What Is Optical Flow For?": Workshop Results and Summary.
F Güney, L Sevilla-Lara, D Sun, J Wulff
ECCV Workshops (6), 731-739, 2018
Unsupervised Batch Normalization
M Taha Kocyigit, L Sevilla-Lara, TM Hospedales, H Bilen
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
FASTER Recurrent Networks for Efficient Video Classification.
L Zhu, D Tran, L Sevilla-Lara, Y Yang, M Feiszli, H Wang
AAAI, 13098-13105, 2020
ALBA: Reinforcement Learning for Video Object Segmentation
SN Gowda, P Eustratiadis, T Hospedales, L Sevilla-Lara
arXiv preprint arXiv:2005.13039, 2020
Proceedings of the ICLR Workshop on Computer Vision for Agriculture (CV4A) 2020
Y Kalantidis, L Sevilla-Lara, E Mwebaze, D Machuve, H Alemohammad, ...
arXiv preprint arXiv:2004.11051, 2020
Long Range Motion Estimation and Applications
L Sevilla-Lara
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