Laura Sevilla-Lara

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Erik Learned-MillerProfessor of Computer Science, University of Massachusetts AmherstVerified email at cs.umass.edu
Deqing SunResearch Scientist, GoogleVerified email at google.com
Varun JampaniResearcher, Google ResearchVerified email at google.com
Shreyank N GowdaPhD Candidate, University of EdinburghVerified email at ed.ac.uk
Michael J. BlackMax Planck Institute for Intelligent SystemsVerified email at tuebingen.mpg.de
Marcus RohrbachProfessor for Multimodal Reliable AI, TU Darmstadt, GermanyVerified email at tu-darmstadt.de
Frank KellerUniversity of EdinburghVerified email at inf.ed.ac.uk
Jonas WulffPostdoctoral Researcher, MIT CSAILVerified email at csail.mit.edu
Fatma GuneyKoc UniversityVerified email at ku.edu.tr
Gen LiUniversity of EdinburghVerified email at ed.ac.uk
Zhicheng YanSenior Staff Research Scientist, Meta Reality LabsVerified email at fb.com
Yannis KalantidisNAVER LABS EuropeVerified email at naverlabs.com
Matt FeiszliFacebook AI ResearchVerified email at fb.com
Andreas GeigerProfessor of Computer Science, University of Tübingen and Tübingen AI CenterVerified email at uni-tuebingen.de
Yiyi LiaoZhejiang UniversityVerified email at zju.edu.cn
Jonghyun KimSpecialist, AI Lab., LG Electronics; PhD in Engineering at Sungkyunkwan University (SKKU)Verified email at lge.com
Mike Z. SHOUNational U. of Singapore; Facebook AI; Columbia UniversityVerified email at columbia.edu
Shih-Fu ChangProfessor of Electrical Engineering and Computer Science, Columbia UniversityVerified email at columbia.edu
Xudong LinColumbia UniversityVerified email at columbia.edu
Kiyoon KimUniversity of EdinburghVerified email at ed.ac.uk

Laura Sevilla-Lara

Lecturer at University of Edinburgh

Verified email at ed.ac.uk - Homepage

Computer Vision


Title Sort by citations Sort by year Sort by 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	738	2012
Distribution fields for tracking L Sevilla-Lara, E Learned-Miller 2012 IEEE Conference on computer vision and pattern recognition, 1910-1917, 2012	692	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	213	2016
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	206	2019
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	204	2021
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	125	2019
Optical flow in mostly rigid scenes J Wulff, L Sevilla-Lara, MJ Black Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017	125	2017
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	102	2021
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	60	2020
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	49	2021
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	38	2014
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	20	2022
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	20	2021
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	12	2022
Alba: Reinforcement learning for video object segmentation SN Gowda, P Eustratiadis, T Hospedales, L Sevilla-Lara arXiv preprint arXiv:2005.13039, 2020	12	2020
Automated looping video creation L Sevilla-Lara, E Shechtman, KK Sunkavalli US Patent 9,672,866, 2017	12	2017
Smooth loops from unconstrained video L Sevilla‐Lara, J Wulff, K Sunkavalli, E Shechtman Computer Graphics Forum 34 (4), 99-107, 2015	8	2015
" 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	5	2018
Distribution Fields with Adaptive Kernels for Large Displacement Image Alignment B Mears, L Sevilla-Lara, E Learned-Miller BMVC 56 (3), 221-255, 2013	4	2013
Distribution Fields L Sevilla-Lara, EG Learned-Miller UMass Amherst Technical Report, 2011	4	2011

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