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Lorenzo TorresaniMeta, Fundamental AI Research (FAIR)Dirección de correo verificada de meta.com
Manohar PaluriFacebookDirección de correo verificada de fb.com
Heng WangTikTokDirección de correo verificada de fb.com
Rob FergusResearch Scientist, DeepMind. Professor of Computer Science, New York UniversityDirección de correo verificada de cs.nyu.edu
Jamie RayFacebookDirección de correo verificada de fb.com
Bruno KorbarUniversity of Oxford, UKDirección de correo verificada de robots.ox.ac.uk
Weiyao WangFAIR, Duke UniversityDirección de correo verificada de fb.com
Yann LeCunChief AI Scientist at Facebook & Silver Professor at the Courant Institute, New York UniversityDirección de correo verificada de cs.nyu.edu
Rohit GirdharResearch Scientist, Fundamental AI Research (FAIR), MetaDirección de correo verificada de fb.com
Humam AlwasselPrincipal Machine Learning Scientist, Intelmatix | PhD from KAUSTDirección de correo verificada de kaust.edu.sa
Bernard GhanemProfessor, King Abdullah University of Science and TechnologyDirección de correo verificada de kaust.edu.sa
Manmohan ChandrakerProfessor, University of California, San DiegoDirección de correo verificada de ucsd.edu
Georgia GkioxariCaltechDirección de correo verificada de caltech.edu
Deepak PathakAssistant Professor, Carnegie Mellon UniversityDirección de correo verificada de cs.cmu.edu
Christoph FeichtenhoferMeta, FAIRDirección de correo verificada de fb.com
Antoine MiechGoogle DeepMindDirección de correo verificada de google.com
David ForsythProfessor of Computer Science, University of Illinois, Urbana ChampaignDirección de correo verificada de uiuc.edu
Jitendra MALIKProfessor of EECS, UC BerkeleyDirección de correo verificada de eecs.berkeley.edu
Ivan LaptevVisiting professor at MBZUAI, on leave from INRIADirección de correo verificada de inria.fr
Josef SivicCzech Technical University, CIIRC, ELLIS Unit PragueDirección de correo verificada de cvut.cz

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Computer Vision Machine Learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Learning spatiotemporal features with 3d convolutional networks D Tran, L Bourdev, R Fergus, L Torresani, M Paluri 2015 IEEE International Conference on Computer Vision (ICCV), 4489-4497, 2015	9751	2015
A closer look at spatiotemporal convolutions for action recognition D Tran, H Wang, L Torresani, J Ray, Y LeCun, M Paluri Proceedings of the IEEE conference on Computer Vision and Pattern …, 2018	3214	2018
Video classification with channel-separated convolutional networks D Tran, H Wang, L Torresani, M Feiszli Proceedings of the IEEE/CVF international conference on computer vision …, 2019	644	2019
Cooperative learning of audio and video models from self-supervised synchronization B Korbar, D Tran, L Torresani Advances in Neural Information Processing Systems 31, 2018	558*	2018
Convnet architecture search for spatiotemporal feature learning D Tran, J Ray, Z Shou, SF Chang, M Paluri arXiv preprint arXiv:1708.05038, 2017	483	2017
C3D: generic features for video analysis D Tran, LD Bourdev, R Fergus, L Torresani, M Paluri CoRR, abs/1412.0767 2 (7), 8, 2014	475	2014
Human activity recognition with metric learning D Tran, A Sorokin, D Forsyth Computer Vision–ECCV 2008, 548-561, 2008	452	2008
Self-supervised learning by cross-modal audio-video clustering H Alwassel, D Mahajan, B Korbar, L Torresani, B Ghanem, D Tran Advances in Neural Information Processing Systems 33, 9758-9770, 2020	447	2020
What makes training multi-modal classification networks hard? W Wang, D Tran, M Feiszli Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020	418	2020
Building an automatic vehicle license plate recognition system TD Duan, TLH Du, TV Phuoc, NV Hoang Proc. Int. Conf. Comput. Sci. RIVF, 59-63, 2005	384	2005
Large-scale weakly-supervised pre-training for video action recognition D Ghadiyaram, D Tran, D Mahajan Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019	356	2019
Detect-and-track: Efficient pose estimation in videos R Girdhar, G Gkioxari, L Torresani, M Paluri, D Tran Proceedings of the IEEE conference on computer vision and pattern …, 2018	286	2018
Scsampler: Sampling salient clips from video for efficient action recognition B Korbar, D Tran, L Torresani Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019	236	2019
Combining Hough transform and contour algorithm for detecting vehicles' license-plates TD Duan, DA Duc, TLH Du Proceedings of 2004 International Symposium on Intelligent Multimedia, Video …, 2004	195	2004
Video modeling with correlation networks H Wang, D Tran, L Torresani, M Feiszli Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020	153	2020
Deep end2end voxel2voxel prediction D Tran, L Bourdev, R Fergus, L Torresani, M Paluri Proceedings of the IEEE conference on computer vision and pattern …, 2016	150	2016
Video event detection: From subvolume localization to spatiotemporal path search D Tran, J Yuan, D Forsyth IEEE transactions on pattern analysis and machine intelligence 36 (2), 404-416, 2013	127	2013
Flavr: Flow-agnostic video representations for fast frame interpolation T Kalluri, D Pathak, M Chandraker, D Tran Proceedings of the IEEE/CVF winter conference on applications of computer …, 2023	118	2023
Unidentified video objects: A benchmark for dense, open-world segmentation W Wang, M Feiszli, H Wang, D Tran Proceedings of the IEEE/CVF international conference on computer vision …, 2021	104	2021
Transformation-based models of video sequences J Van Amersfoort, A Kannan, MA Ranzato, A Szlam, D Tran, S Chintala arXiv preprint arXiv:1701.08435, 2017	81	2017

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