Yu-Gang Jiang

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Xiangyang XueProfessor of Computer Science, Fudan UniversityDirección de correo verificada de fudan.edu.cn
Yanwei FuFudan UniversityDirección de correo verificada de fudan.edu.cn
Zuxuan WuFudan UniversityDirección de correo verificada de fudan.edu.cn
Chong-Wah NgoSingapore Management UniversityDirección de correo verificada de smu.edu.sg
Shih-Fu ChangProfessor of Electrical Engineering and Computer Science, Columbia UniversityDirección de correo verificada de columbia.edu
Wei Liu, Fellow of IEEE/IAPR/IMADistinguished Scientist, TencentDirección de correo verificada de ee.columbia.edu
Jingjing ChenFudan UniversityDirección de correo verificada de my.cityu.edu.hk
Jun WangDirección de correo verificada de ee.columbia.edu
Shaoxiang ChenMeituanDirección de correo verificada de fudan.edu.cn
Qi DaiMicrosoft ResearchDirección de correo verificada de microsoft.com
Xi WangMicrosoftDirección de correo verificada de microsoft.com
Tao XiangUniversity of Surrey; Meta AIDirección de correo verificada de surrey.ac.uk
Mubarak ShahTrustee Chair Professor of Computer Science, University of Central FloridaDirección de correo verificada de crcv.ucf.edu
Leonid SigalAssociate Professor, University of British ColumbiaDirección de correo verificada de cs.ubc.ca
Amir ZamirAssistant Professor of Computer Science, EPFLDirección de correo verificada de stanford.edu
Yurong ChenPrincipal AI Scientist / Research Director, Intel Labs ChinaDirección de correo verificada de intel.com
Xingjun MaSchool of Computer Science, Fudan UniversityDirección de correo verificada de unimelb.edu.au
Xuelin QianFudan UniversityDirección de correo verificada de fudan.edu.cn
Qi Zhang (张奇)Professor of Computer Science, Fudan UniversityDirección de correo verificada de fudan.edu.cn
Lin MaMeituanDirección de correo verificada de alumni.cuhk.net

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Yu-Gang Jiang

Professor, Computer Science, Fudan University, Shanghai

Dirección de correo verificada de fudan.edu.cn - Página principal

Video Analytics Multimedia Computer Vision Trustworthy AI AGI


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Supervised hashing with kernels W Liu, J Wang, R Ji, YG Jiang, SF Chang 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2074-2081, 2012	1590	2012
Evaluating bag-of-visual-words representations in scene classification J Yang, YG Jiang, AG Hauptmann, CW Ngo Proceedings of the ACM SIGMM workshop on multimedia information retrieval …, 2007	1144	2007
Pixel2mesh: Generating 3d mesh models from single rgb images N Wang, Y Zhang, Z Li, Y Fu, W Liu, YG Jiang Proceedings of the European Conference on Computer Vision (ECCV), 52-67, 2018	1024	2018
Towards optimal bag-of-features for object categorization and semantic video retrieval YG Jiang, CW Ngo, J Yang Proceedings of the 6th ACM international conference on Image and video …, 2007	856	2007
Dsod: Learning deeply supervised object detectors from scratch Z Shen, Z Liu, J Li, YG Jiang, Y Chen, X Xue Proceedings of the IEEE International Conference on Computer Vision, 1919-1927, 2017	635	2017
THUMOS challenge: Action recognition with a large number of classes YG Jiang, J Liu, AR Zamir, I Laptev, M Piccardi, M Shah, R Sukthankar	612	2013
Modeling spatial-temporal clues in a hybrid deep learning framework for video classification Z Wu, X Wang, YG Jiang, H Ye, X Xue Proceedings of the 23rd ACM international conference on Multimedia, 461-470, 2015	516	2015
Pose-normalized image generation for person re-identification X Qian, Y Fu, T Xiang, W Wang, J Qiu, Y Wu, YG Jiang, X Xue Proceedings of the European Conference on Computer Vision (ECCV), 650-667, 2018	420	2018
NAIS: Neural Attentive Item Similarity Model for Recommendation X He, Z He, J Song, Z Liu, YG Jiang, TS Chua IEEE Transactions on Knowledge and Data Engineering, 2018	404	2018
The THUMOS challenge on action recognition for videos “in the wild” H Idrees, AR Zamir, YG Jiang, A Gorban, I Laptev, R Sukthankar, M Shah Computer Vision and Image Understanding 155, 1-23, 2017	394	2017
The THUMOS challenge on action recognition for videos “in the wild” H Idrees, AR Zamir, YG Jiang, A Gorban, I Laptev, R Sukthankar, M Shah Computer Vision and Image Understanding 155, 1-23, 2017	394	2017
Exploiting feature and class relationships in video categorization with regularized deep neural networks YG Jiang, Z Wu, J Wang, X Xue, SF Chang IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017	377	2017
Two-dimensional materials for next-generation computing technologies C Liu, H Chen, S Wang, Q Liu, YG Jiang, DW Zhang, M Liu, P Zhou Nature Nanotechnology 15 (7), 545-557, 2020	370	2020
Consumer video understanding: A benchmark database and an evaluation of human and machine performance YG Jiang, G Ye, SF Chang, D Ellis, AC Loui Proceedings of the 1st ACM International Conference on Multimedia Retrieval, 1-8, 2011	348	2011
Learning fashion compatibility with bidirectional lstms X Han, Z Wu, YG Jiang, LS Davis Proceedings of the 25th ACM international conference on Multimedia, 1078-1086, 2017	328	2017
Representations of keypoint-based semantic concept detection: A comprehensive study YG Jiang, J Yang, CW Ngo, AG Hauptmann Multimedia, IEEE Transactions on 12 (1), 42-53, 2010	324	2010
Trajectory-Based Modeling of Human Actions with Motion Reference Points YG Jiang, Q Dai, X Xue, W Liu, CW Ngo ECCV, 2012	281	2012
Multi-scale deep learning architectures for person re-identification X Qian, Y Fu, YG Jiang, T Xiang, X Xue Proceedings of the IEEE International Conference on Computer Vision, 5399-5408, 2017	278	2017
Multi-scale deep learning architectures for person re-identification X Qian, Y Fu, YG Jiang, T Xiang, X Xue Proceedings of the IEEE International Conference on Computer Vision, 5399-5408, 2017	278	2017
Recurrent fusion network for image captioning W Jiang, L Ma, YG Jiang, W Liu, T Zhang Proceedings of the European Conference on Computer Vision (ECCV), 499-515, 2018	243	2018

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