Kai Kang - Google Scholar Citations

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Citations	865	863
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i10-index	8	8

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20152016201720182019202014 97 169 232 292 56

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Xiaogang WangAssociate Professor of Electronic Engineering, the Chinese University of Hong KongVerified email at ee.cuhk.edu.hk
Hongsheng LiAssistant Professor at The Chinese University of Hong KongVerified email at ee.cuhk.edu.hk
Wanli Ouyang (欧阳万里)Senior Lecturer at The University of SydneyVerified email at sydney.edu.au
Chen Change LoyNanyang Technological UniversityVerified email at ntu.edu.sg
Jing ShaoSenseTime Group LTDVerified email at sensetime.com
Tong XiaoFacebook OculusVerified email at oculus.com
Junjie YanSenseTime Group LimitedVerified email at sensetime.com
Xingyu ZengPHD Student of Electronic Engineering, The Chinese University of Hong KongVerified email at ee.cuhk.edu.hk
Zhe WangSenseTime Group LimitedVerified email at sensetime.com
Ruohui WangThe Chinese University of Hong KongVerified email at ie.cuhk.edu.hk
Xihui LiuThe Chinese University of Hong KongVerified email at link.cuhk.edu.hk
Xiaokang YangFIEEE, Shanghai Jiao Tong UniversityVerified email at sjtu.edu.cn

Kai Kang

Apple

Verified email at apple.com - Homepage

computer vision deep learning video analysis object detection


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Object Detection From Video Tubelets With Convolutional Neural Networks K Kang, W Ouyang, H Li, X Wang The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 817-825, 2016	209	2016
T-CNN: Tubelets with Convolutional Neural Networks for Object Detection from Videos K Kang, H Li, J Yan, X Zeng, B Yang, T Xiao, C Zhang, Z Wang, R Wang, ... IEEE Transactions on Circuits and Systems for Video Technology, 2017	177	2017
Deeply learned attributes for crowded scene understanding J Shao, K Kang, C Change Loy, X Wang Proceedings of the IEEE conference on computer vision and pattern …, 2015	175	2015
Fully convolutional neural networks for crowd segmentation K Kang, X Wang arXiv preprint arXiv:1411.4464, 2014	102	2014
Object Detection in Videos with Tubelet Proposal Networks K Kang, H Li, T Xiao, W Ouyang, J Yan, X Liu, X Wang The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017	87	2017
Slicing convolutional neural network for crowd video understanding J Shao, CC Loy, K Kang, X Wang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016	50	2016
Data-driven Crowd Understanding: a Baseline for a Large-scale Crowd Dataset C Zhang, K Kang, H Li, X Wang, R Xie, X Yang IEEE Transactions on Multimedia, 2016	39	2016
Crowded Scene Understanding by Deeply Learned Volumetric Slices J Shao, CC Loy, K Kang, X Wang IEEE Transactions on Circuits and Systems for Video Technology, 2016	25	2016
Method and system for object tracking X Wang, J Shao, LOY Chen-Change, K Kang US Patent App. 16/158,016, 2019	1	2019
Target object detection method, apparatus and system and neural network structure K Kang, H Li, W Ouyang, X Wang CN Patent CN108,073,864 A, 2018		2018
A system and a method for predicting crowd attributes X Wang, CC Loy, J Shao, K Kang CN Patent CN107,615,272 A, 2018		2018
Method and device for detecting object in video, and electronic equipment K Kang, H Li, T Xiao, W Ouyang, J Yan, X Liu, X Wang CN Patent CN106,897,742 A, 2017		2017
Intelligent Video Analysis with Deep Learning K Kang PQDT-Global, 2017		2017

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