Chao-Yuan Wu

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Christoph FeichtenhoferMeta, FAIRPatvirtintas el. paštas fb.com
Alex SmolaBoson AIPatvirtintas el. paštas smola.org
Philipp KrähenbühlUT AustinPatvirtintas el. paštas cs.utexas.edu
Haoqi FanFacebook AI ResearchPatvirtintas el. paštas fb.com
Amr AhmedSenior Staff Research Scientist, Google AIPatvirtintas el. paštas google.com
Saining XieAssistant Professor at the Courant Institute, New York UniversityPatvirtintas el. paštas nyu.edu
Jitendra MALIKProfessor of EECS, UC BerkeleyPatvirtintas el. paštas eecs.berkeley.edu
Alex BeutelOpenAIPatvirtintas el. paštas openai.com
Karttikeya MangalamPhD Student, University of California at BerkeleyPatvirtintas el. paštas berkeley.edu
Bo XiongFacebook AI Research (FAIR)Patvirtintas el. paštas fb.com
R. ManmathaA9/AmazonPatvirtintas el. paštas cs.umass.edu
Trevor DarrellProfessor of Computer Science, U.C. BerkeleyPatvirtintas el. paštas eecs.berkeley.edu
Zhuang LiuResearch Scientist, Meta AI ResearchPatvirtintas el. paštas berkeley.edu
Manzil ZaheerGoogle ResearchPatvirtintas el. paštas cmu.edu
Yanghao LiFacebook AI Research (FAIR)Patvirtintas el. paštas fb.com
Kaiming HeResearch Scientist, Facebook AI Research (FAIR)Patvirtintas el. paštas fb.com
Ross GirshickResearch Scientist, Facebook AI Research (FAIR)Patvirtintas el. paštas eecs.berkeley.edu
Chong WangApplePatvirtintas el. paštas cs.princeton.edu
Minghui QiuAlibaba GroupPatvirtintas el. paštas smu.edu.sg
Qiming DiaoSingapore Management UniversityPatvirtintas el. paštas booking.com

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Chao-Yuan Wu

Research Scientist, the FAIR team @ Meta AI

Patvirtintas el. paštas meta.com - Pagrindinis puslapis

Computer Vision Deep Learning


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
A convnet for the 2020s Z Liu, H Mao, CY Wu, C Feichtenhofer, T Darrell, S Xie Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022	2738	2022
Sampling Matters in Deep Embedding Learning CY Wu, R Manmatha, AJ Smola, P Krähenbühl Computer Vision (ICCV), 2017 IEEE International Conference on, 2859-2867, 2017	992	2017
Recurrent Recommender Networks CY Wu, A Ahmed, A Beutel, AJ Smola, H Jing Proceedings of the Tenth ACM International Conference on Web Search and Data …, 2017	744	2017
Jointly modeling aspects, ratings and sentiments for movie recommendation (JMARS) Q Diao, M Qiu, CY Wu, AJ Smola, J Jiang, C Wang Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014	514	2014
Long-Term Feature Banks for Detailed Video Understanding CY Wu, C Feichtenhofer, H Fan, K He, P Krähenbühl, R Girshick Computer Vision and Pattern Recognition (CVPR), 2019 IEEE Conference on, 2018	498	2018
Masked feature prediction for self-supervised visual pre-training C Wei, H Fan, S Xie, CY Wu, A Yuille, C Feichtenhofer Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022	409	2022
Mvitv2: Improved multiscale vision transformers for classification and detection Y Li, CY Wu, H Fan, K Mangalam, B Xiong, J Malik, C Feichtenhofer Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022	364	2022
Compressed video action recognition CY Wu, M Zaheer, H Hu, R Manmatha, AJ Smola, P Krähenbühl Proceedings of the IEEE conference on computer vision and pattern …, 2018	353	2018
Video compression through image interpolation CY Wu, N Singhal, P Krahenbuhl Proceedings of the European conference on computer vision (ECCV), 416-431, 2018	311	2018
A multigrid method for efficiently training video models CY Wu, R Girshick, K He, C Feichtenhofer, P Krahenbuhl Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020	105	2020
Memvit: Memory-augmented multiscale vision transformer for efficient long-term video recognition CY Wu, Y Li, K Mangalam, H Fan, B Xiong, J Malik, C Feichtenhofer Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022	98	2022
Towards long-form video understanding CY Wu, P Krahenbuhl Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021	93	2021
Fashion++: Minimal Edits for Outfit Improvement WL Hsiao, I Katsman, CY Wu, D Parikh, K Grauman International Conference on Computer Vision (ICCV), 2019	91	2019
Lossless image compression through super-resolution S Cao, CY Wu, P Krähenbühl arXiv preprint arXiv:2004.02872, 2020	39	2020
Joint Training of Ratings and Reviews with Recurrent Recommender Networks CY Wu, A Ahmed, A Beutel, AJ Smola ICLR Workshop, 2016	38	2016
Using navigation to improve recommendations in real-time CY Wu, CV Alvino, AJ Smola, J Basilico Proceedings of the 10th ACM Conference on Recommender Systems, 341-348, 2016	34	2016
Explaining reviews and ratings with paco: Poisson additive co-clustering CY Wu, A Beutel, A Ahmed, AJ Smola Proceedings of the 25th International Conference Companion on World Wide Web …, 2016	22	2016
Multiview compressive coding for 3D reconstruction CY Wu, J Johnson, J Malik, C Feichtenhofer, G Gkioxari Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023	20	2023
Reversible vision transformers K Mangalam, H Fan, Y Li, CY Wu, B Xiong, C Feichtenhofer, J Malik Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022	20	2022
Memory optimization for deep networks A Shah, CY Wu, J Mohan, V Chidambaram, P Krähenbühl arXiv preprint arXiv:2010.14501, 2020	19	2020

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