Yu Kong

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Yun Raymond FuNEU, COE Distinguished Professor; MAE, FNAI, FAAAS, FIEEE, FSPIE, FOSA, FIAPRDirección de correo verificada de neu.edu
yunde jiaProfessor of Computer Science, Beijing Institute of TechnologyDirección de correo verificada de bit.edu.cn
Yapeng TianAssistant Professor, University of Texas at DallasDirección de correo verificada de utdallas.edu
Bineng Zhong 钟必能Guangxi Normal University, Professor; NEU, HIT, Huaqiao UniversityDirección de correo verificada de gxnu.edu.cn
Weiming HuNLPRDirección de correo verificada de nlpr.ia.ac.cn
Zhiqiang TaoAssistant Professor, Rochester Institute of TechnologyDirección de correo verificada de rit.edu
Jun LiNanjing University of Science and TechnologyDirección de correo verificada de njust.edu.cn
Zhengming DingAssistant Professor of Computer Science, Tulane UniversityDirección de correo verificada de tulane.edu
D. KitResearch Officer, University of BathDirección de correo verificada de bath.ac.uk
Chengcheng JiaPh.D. of ECE, Northeastern UniversityDirección de correo verificada de husky.neu.edu
Kunpeng LiResearch Scientist, Meta GenAIDirección de correo verificada de meta.com
Behnam SatarboroujeniPhD Student in ECE Department, Northeastern UniversityDirección de correo verificada de husky.neu.edu
Hanzi WangProfessor of Xiamen UniversityDirección de correo verificada de xmu.edu.cn
Yue WuMicrosoftDirección de correo verificada de microsoft.com
Steve MaybankEmeritus Professor in the Department of Computer Science, Birkbeck College, LondonDirección de correo verificada de dcs.bbk.ac.uk

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Yu Kong

Michigan State U, Assistant Professor; ACTION Lab, Director

Dirección de correo verificada de msu.edu - Página principal

computer vision machine learning data mining


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Residual dense network for image super-resolution Y Zhang, Y Tian, Y Kong, B Zhong, Y Fu Proceedings of the IEEE conference on computer vision and pattern …, 2018	4322	2018
Human action recognition and prediction: A survey Y Kong, Y Fu International Journal of Computer Vision 130 (5), 1366-1401, 2022	595	2022
A discriminative model with multiple temporal scales for action prediction Y Kong, D Kit, Y Fu Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014	186	2014
Deep Sequential Context Networks for Action Prediction Y Kong, Z Tao, Y Fu Computer Vision and Pattern Recognition, 2017	169	2017
Learning human interaction by interactive phrases Y Kong, Y Jia, Y Fu European Conference on Computer Vision, 300-313, 2012	160	2012
Interactive Phrases: Semantic Descriptions for Human Interaction Recognition Y Kong, Y Jia, Y Fu IEEE Transactions on Pattern Analysis and Machine Intelligence, 1, 2014	145	2014
Interactive phrases: Semantic descriptionsfor human interaction recognition Y Kong, Y Jia, Y Fu IEEE transactions on pattern analysis and machine intelligence 36 (9), 1775-1788, 2014	145	2014
Evidential deep learning for open set action recognition W Bao, Q Yu, Y Kong Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021	119	2021
Max-margin action prediction machine Y Kong, Y Fu IEEE transactions on pattern analysis and machine intelligence 38 (9), 1844-1858, 2015	113	2015
Bilinear heterogeneous information machine for RGB-D action recognition Y Kong, Y Fu Proceedings of the IEEE conference on computer vision and pattern …, 2015	99	2015
Uncertainty-based traffic accident anticipation with spatio-temporal relational learning W Bao, Q Yu, Y Kong Proceedings of the 28th ACM International Conference on Multimedia, 2682-2690, 2020	96	2020
Deeply learned view-invariant features for cross-view action recognition Y Kong, Z Ding, J Li, Y Fu IEEE Transactions on Image Processing 26 (6), 3028-3037, 2017	90	2017
Action prediction from videos via memorizing hard-to-predict samples Y Kong, S Gao, B Sun, Y Fu Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018	77	2018
Deep convolutional neural network with independent softmax for large scale face recognition Y Wu, J Li, Y Kong, Y Fu Proceedings of the 24th ACM international conference on Multimedia, 1063-1067, 2016	77	2016
Latent tensor transfer learning for RGB-D action recognition C Jia, Y Kong, Z Ding, YR Fu Proceedings of the 22nd ACM international conference on Multimedia, 87-96, 2014	62	2014
Adversarial action prediction networks Y Kong, Z Tao, Y Fu IEEE transactions on pattern analysis and machine intelligence 42 (3), 539-553, 2018	54	2018
Close human interaction recognition using patch-aware models Y Kong, Y Fu IEEE Transactions on Image Processing 25 (1), 167-178, 2015	49	2015
Accurate and fast image denoising via attention guided scaling Y Zhang, K Li, K Li, G Sun, Y Kong, Y Fu IEEE Transactions on Image Processing 30, 6255-6265, 2021	45	2021
Learning fast low-rank projection for image classification J Li, Y Kong, H Zhao, J Yang, Y Fu IEEE Transactions on Image Processing 25 (10), 4803-4814, 2016	37	2016
A swarm intelligence based searching strategy for articulated 3D human body tracking X Zhang, W Hu, X Wang, Y Kong, N Xie, H Wang, H Ling, S Maybank 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010	36	2010

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