Yongkang WONG

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Mohan KankanhalliProfessor of Computer Science, National University of SingaporeVerified email at comp.nus.edu.sg
Junnan LiSalesforce Research AsiaVerified email at salesforce.com
Qi (Catherine) ZhaoAssistant Professor, University of MinnesotaVerified email at cs.umn.edu
Brian C. LovellProfessor, The University of QueenslandVerified email at itee.uq.edu.au
Yu HuZhejiang UniversityVerified email at zju.edu.cn
Yu DuGoogleVerified email at google.com
Yan LuoUniversity of MinnesotaVerified email at umn.edu
Gan TianAssociate Professor of School of Computer Science and Technology, Shandong UniversityVerified email at sdu.edu.cn
Arnold WiliemPrincipal Engineer in Deep Learning, Sentient Vision Systems; Adjunct Senior Fellow, UQVerified email at uq.edu.au
Mehrtash HarandiMonash UniversityVerified email at monash.edu
Vijay ChandrasekharIEEE Senior Member, R&DVerified email at alumni.stanford.edu
Feilin HanBeijing Film AcademyVerified email at bfa.edu.cn
Daqing Zhang, IEEE FellowChair Professor, Telecom SudParis/Peking UniversityVerified email at telecom-sudparis.eu
Prabhu NATARAJANAssistant Professor, DigiPen Institute of Technology SingaporeVerified email at digipen.edu
Bryan Kian Hsiang LowAssociate Professor (with tenure), Department of Computer Science, National University of SingaporeVerified email at comp.nus.edu.sg
Trong Nghia HoangSenior Machine Learning Scientist, AmazonVerified email at amazon.com
Ming JiangUniversity of MinnesotaVerified email at umn.edu
Terence SimAssociate Professor, School of Computing, National University of SingaporeVerified email at comp.nus.edu.sg
Kandeepan SithamparanathanSchool of Engineering, RMIT University, MelbourneVerified email at rmit.edu.au

Yongkang WONG

Senior Research Fellow, School of Computing, National University of Singapore

Verified email at ieee.org - Homepage

Computer Vision Machine Learning Image Understanding Social Scene Understanding


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Patch-based probabilistic image quality assessment for face selection and improved video-based face recognition Y Wong, S Chen, S Mau, C Sanderson, BC Lovell CVPR 2011 WORKSHOPS, 74-81, 2011	351	2011
Marker-less 3d human motion capture with monocular image sequence and height-maps Y Du, Y Wong, Y Liu, F Han, Y Gui, Z Wang, M Kankanhalli, W Geng European Conference on Computer Vision, 20-36, 2016	118	2016
Learning to Learn from Noisy Labeled Data J Li, Y Wong, Q Zhao, MS Kankanhalli Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019	100	2019
A novel attention-based hybrid CNN-RNN architecture for sEMG-based gesture recognition Y Hu, Y Wong, W Wei, Y Du, M Kankanhalli, W Geng PloS one 13 (10), e0206049, 2018	94	2018
Classification of Human Epithelial Type 2 Cell Indirect Immunofluoresence Images via Codebook Based Descriptors A Wiliem, Y Wong, C Sanderson, P Hobson, S Chen, BC Lovell	93	2013
Benchmarking a multimodal and multiview and interactive dataset for human action recognition AA Liu, N Xu, WZ Nie, YT Su, Y Wong, M Kankanhalli IEEE Transactions on cybernetics 47 (7), 1781-1794, 2016	89	2016
A multi-stream convolutional neural network for sEMG-based gesture recognition in muscle-computer interface W Wei, Y Wong, Y Du, Y Hu, M Kankanhalli, W Geng Pattern Recognition Letters 119, 131-138, 2019	76	2019
Automatic classification of human epithelial type 2 cell indirect immunofluorescence images using cell pyramid matching A Wiliem, C Sanderson, Y Wong, P Hobson, RF Minchin, BC Lovell Pattern Recognition 47 (7), 2315-2324, 2014	71	2014
Learning to Detect Human-Object Interactions With Knowledge B Xu, Y Wong, J Li, Q Zhao, MS Kankanhalli Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019	53	2019
Temporal encoded F-formation system for social interaction detection T Gan, Y Wong, D Zhang, MS Kankanhalli Proceedings of the 21st ACM international conference on Multimedia, 937-946, 2013	50	2013
Dual-Stream Recurrent Neural Network for Video Captioning N Xu, AA Liu, Y Wong, Y Zhang, W Nie, Y Su, M Kankanhalli IEEE Transactions on Circuits and Systems for Video Technology, 2018	46	2018
Surface Electromyography-based Gesture Recognition by Multi-view Deep Learning W Wei, Q Dai, Y Wong, Y Hu, M Kankanhalli, W Geng IEEE Transactions on Biomedical Engineering 66 (10), 2964-2973, 2019	39	2019
Unsupervised learning of view-invariant action representations J Li, Y Wong, Q Zhao, MS Kankanhalli arXiv preprint arXiv:1809.01844, 2018	39	2018
Attention Transfer from Web Images for Video Recognition J Li, Y Wong, Q Zhao, M Kankanhalli ACM Multimedia, 2017	32	2017
Multi-sensor self-quantification of presentations T Gan, Y Wong, B Mandal, V Chandrasekhar, MS Kankanhalli Proceedings of the 23rd ACM international conference on Multimedia, 601-610, 2015	32	2015
Interact as You Intend: Intention-Driven Human-Object Interaction Detection B Xu, J Li, Y Wong, Z Qi, MS Kankanhalli IEEE Transactions on Multimedia, 2019	31	2019
Unsupervised Online Video Object Segmentation With Motion Property Understanding T Zhuo, Z Cheng, P Zhang, Y Wong, M Kankanhalli IEEE Transactions on Image Processing 29 (1), 237-249, 2019	31	2019
Dual-Glance Model for Deciphering Social Relationships J Li, Y Wong, Q Zhao, MS Kankanhalli IEEE International Conference of Computer Vision, 2017	29	2017
Hierarchical & Multimodal Video Captioning:Discovering and Transferring Multimodal Knowledge for Vision to Language A Liu, N Xu, Y Wong, J Li, YT Su, M Kankanhalli Computer Vision and Image Understanding, 2017	28	2017
Multi-modal & multi-view & interactive benchmark dataset for human action recognition N Xu, A Liu, W Nie, Y Wong, F Li, Y Su Proceedings of the 23rd ACM international conference on Multimedia, 1195-1198, 2015	28	2015

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