Keze Wang (王可泽)

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Liang LinFellow of IAPR, Professor of Computer Science, Sun Yat-Sen University, ChinaVerified email at ieee.org
Lei ZhangChair Professor, Dept. of Computing, The Hong Kong Polytechnic UniversityVerified email at comp.polyu.edu.hk
Dongyu zhangSun Yat-sen UniversityVerified email at mail.sysu.edu.cn
Xiaodan LiangAssociate Professor, Sun Yat-sen University, CMU, NUSVerified email at mail2.sysu.edu.cn
Wangmeng ZuoSchool of Computer Science and Technology, Harbin Institute of TechnologyVerified email at hit.edu.cn
Guanbin Li (李冠彬)Associate Professor, School of Computer Science and Engineering, Sun Yat-Sen University, ChinaVerified email at mail.sysu.edu.cn
Ruimao ZhangSchool of Data Science, The Chinese Univeristy of Hong Kong, ShenzhenVerified email at ieee.org
Meng Wang, IEEE Fellow, IAPR FellowHefei University of TechnologyVerified email at hfut.edu.cn
Keyang ShiStaff Algorithm Engineer, Alibaba GroupVerified email at alibaba-inc.com
Jiangbo LuSmartMore, ADSC of UIUC, K.U.LeuvenVerified email at adsc.com.sg
Yukai ShiGuangdong University of TechnologyVerified email at gdut.edu.cn
Xiaopeng YanSun Yat-sen University, SYSUVerified email at mail2.sysu.edu.cn
Ziliang ChenPhD, Sun Yat-sen UniversityVerified email at mail3.sysu.edu.cn
QingXing CaoSun Yat-sen UniversityVerified email at mail.sysu.edu.cn
Pengxu WeiSun Yat-sen UniversityVerified email at mail.sysu.edu.cn
Yang Liu (刘阳)Sun Yat-sen University; IEEE (SPS&IES)/CCF/CAAI/CSIG MemberVerified email at mail.sysu.edu.cn
Deyu MengProfessor, Xi'an Jiaotong UniversityVerified email at mail.xjtu.edu.cn
Xiaolong WangAssistant Professor, UC San DiegoVerified email at ucsd.edu
Jiebo LuoAlbert Arendt Hopeman Professor of Engineering, University of RochesterVerified email at cs.rochester.edu
Chongyu ChenDMAIVerified email at dm-ai.cn

Keze Wang (王可泽)

Sun Yat-sen University

Verified email at mail.sysu.edu.cn - Homepage

Deep representation learning self-supervised learning object detection image saliency


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Cost-effective active learning for deep image classification K Wang, D Zhang, Y Li, R Zhang, L Lin IEEE Transactions on Circuits and Systems for Video Technology 27 (12), 2591 …, 2016	625	2016
PISA: Pixelwise Image Saliency by Aggregating Complementary Appearance Contrast Measures with Edge-Preserving Coherence K Wang, L Lin, J Lu, C Li, K Shi IEEE Trans. Image Process. 24 (10), 3019-3033, 2015	196*	2015
Active self-paced learning for cost-effective and progressive face identification L Lin, K Wang, D Meng, W Zuo, L Zhang IEEE transactions on pattern analysis and machine intelligence 40 (1), 7-19, 2017	159	2017
Flow Guided Recurrent Neural Encoder for Video Salient Object Detection G Li, Y Xie, T Wei, K Wang, L Lin Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018	144	2018
3D human activity recognition with reconfigurable convolutional neural networks K Wang, X Wang, L Lin, M Wang, W Zuo Proceedings of the 22nd ACM international conference on Multimedia, 97-106, 2014	134	2014
Recurrent 3d pose sequence machines M Lin, L Lin, X Liang, K Wang, H Cheng Computer Vision and Pattern Recognition (CVPR), 2017 IEEE Conference on …, 2017	123	2017
A deep structured model with radius-margin bound for 3d human activity recognition L Lin, K Wang, W Zuo, M Wang, J Luo, L Zhang International Journal of Computer Vision (IJCV) 118 (2), 256-273, 2015	123	2015
Towards Human-Machine Cooperation: Self-supervised Sample Mining for Object Detection K Wang, X Yan, D Zhang, L Zhang, L Lin Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018	98	2018
3D human pose machines with self-supervised learning K Wang, L Lin, C Jiang, C Qian, P Wei IEEE Transactions on Pattern Analysis and Machine Intelligence 42 (5), 1069-1082, 2019	80	2019
Adaptively connected neural networks G Wang, K Wang, L Lin Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019	53	2019
Semantics-aware adaptive knowledge distillation for sensor-to-vision action recognition Y Liu, K Wang, G Li, L Lin IEEE Transactions on Image Processing 30, 5573-5588, 2021	51	2021
Structure-Preserving Image Super-Resolution via Contextualized Multitask Learning Y Shi, K Wang, C Chen, L Xu, L Lin IEEE Transactions on Multimedia 19 (12), 2804-2815, 2017	49	2017
Dictionary Pair Classifier Driven Convolutional Neural Networks for Object Detection K Wang, L Lin, W Zuo, S Gu, L Zhang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016	48	2016
Human pose estimation from depth images via inference embedded multi-task learning K Wang, S Zhai, H Cheng, X Liang, L Lin Proceedings of the 24th ACM international conference on Multimedia, 1227-1236, 2016	44	2016
Solving inefficiency of self-supervised representation learning G Wang, K Wang, G Wang, PHS Torr, L Lin Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021	34	2021
Face hallucination by attentive sequence optimization with reinforcement learning Y Shi, G Li, Q Cao, K Wang, L Lin IEEE transactions on pattern analysis and machine intelligence 42 (11), 2809 …, 2019	30	2019
Cost-effective object detection: Active sample mining with switchable selection criteria K Wang, L Lin, X Yan, Z Chen, D Zhang, L Zhang IEEE Transactions on Neural Networks and Learning Systems 30 (3), 834-850, 2018	29	2018
Instance-aware representation learning and association for online multi-person tracking H Wu, Y Hu, K Wang, H Li, L Nie, H Cheng Pattern Recognition 94, 25-34, 2019	28	2019
TCGL: Temporal Contrastive Graph for Self-supervised Video Representation Learning Y Liu, K Wang, L Liu, H Lan, L Lin IEEE Transactions on Image Processing, 2022	27	2022
CX-ToM: Counterfactual explanations with theory-of-mind for enhancing human trust in image recognition models AR Akula, K Wang, C Liu, S Saba-Sadiya, H Lu, S Todorovic, J Chai, ... iScience 25 (1), 103581, 2022	20	2022

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