Guanbin Li (李冠彬)

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	All	Since 2016
Citations	3397	3300
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Liang LinProfessor, School of Data and Computer Science, Sun Yat-Sen University, ChinaVerified email at ieee.org
Yizhou Yu ---- IEEE FellowBerkeley--UIUC--HKUVerified email at acm.org
Lingbo Liu (刘凌波)Sun Yat-Sen UniversityVerified email at mail2.sysu.edu.cn
Tianshui ChenSun Yat-sen UniversityVerified email at mail2.sysu.edu.cn
Hefeng WuSun Yat-sen UniversityVerified email at mail.sysu.edu.cn
Sibei YangPhD candidate, The University of Hong KongVerified email at connect.hku.hk
Wanli Ouyang (欧阳万里)Associate Professor at The University of SydneyVerified email at sydney.edu.au
Xiaodan LiangAssociate Professor, Sun Yat-sen University, CMU, NUSVerified email at mail2.sysu.edu.cn
Zhouxia WangSun Yat-sen UniversityVerified email at mail2.sysu.edu.cn
Yukai ShiGuangdong University of TechnologyVerified email at gdut.edu.cn
Xiaoguang HanAssistant Professor, The Chinese University of Hong Kong, ShenzhenVerified email at cuhk.edu.cn
Sai BiUniversity of California, San DiegoVerified email at cs.ucsd.edu
Bowen DuBeihang UniversityVerified email at buaa.edu.cn
Meng Wang, IEEE Fellow, IAPR FellowHefei University of TechnologyVerified email at hfut.edu.cn
Jue WangTencentVerified email at tencent.com
zhanghui kuangDepartment of Computer Science, The University of Hong KongVerified email at cs.hku.hk
Haofeng LiResearch Scientist, SRIBD, CUHK(SZ)Verified email at connect.hku.hk
Haibin HuangKuaishou TechnologyVerified email at kuaishou.com
Ziliang ChenPhD, Sun Yat-sen UniversityVerified email at mail3.sysu.edu.cn
Zhi-Hui Zhan（詹志辉）South China University of TechnologyVerified email at scut.edu.cn

Guanbin Li (李冠彬)

Associate Professor, School of Data and Computer Science, Sun Yat-Sen University, China

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

Intelligent Perception Visual Comprehension Deep Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Visual saliency based on multiscale deep features G Li, Y Yu Proceedings of the IEEE conference on computer vision and pattern …, 2015	793	2015
Deep contrast learning for salient object detection G Li, Y Yu Proceedings of the IEEE conference on computer vision and pattern …, 2016	601	2016
Visual saliency detection based on multiscale deep CNN features G Li, Y Yu IEEE transactions on image processing 25 (11), 5012-5024, 2016	242	2016
Instance-level salient object segmentation G Li, Y Xie, L Lin, Y Yu Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017	181	2017
Multi-label image recognition by recurrently discovering attentional regions Z Wang, T Chen, G Li, R Xu, L Lin Proceedings of the IEEE international conference on computer vision, 464-472, 2017	134	2017
Attention-aware face hallucination via deep reinforcement learning Q Cao, L Lin, Y Shi, X Liang, G Li Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017	133	2017
Crowd counting using deep recurrent spatial-aware network L Liu, H Wang, G Li, W Ouyang, L Lin arXiv preprint arXiv:1807.00601, 2018	105	2018
Non-locally enhanced encoder-decoder network for single image de-raining G Li, X He, W Zhang, H Chang, L Dong, L Lin Proceedings of the 26th ACM international conference on Multimedia, 1056-1064, 2018	85	2018
Crowd counting with deep structured scale integration network L Liu, Z Qiu, G Li, S Liu, W Ouyang, L Lin Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019	83	2019
Larger norm more transferable: An adaptive feature norm approach for unsupervised domain adaptation R Xu, G Li, J Yang, L Lin Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019	79	2019
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	66	2018
Recurrent attentional reinforcement learning for multi-label image recognition T Chen, Z Wang, G Li, L Lin Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018	64	2018
Contrast-oriented deep neural networks for salient object detection G Li, Y Yu IEEE transactions on neural networks and learning systems 29 (12), 6038-6051, 2018	58	2018
Contextualized spatial–temporal network for taxi origin-destination demand prediction L Liu, Z Qiu, G Li, Q Wang, W Ouyang, L Lin IEEE Transactions on Intelligent Transportation Systems 20 (10), 3875-3887, 2019	49	2019
基于颜色纹理直方图的带权分块均值漂移目标跟踪算法李冠彬，吴贺丰计算机辅助设计与图形学学报 23 (012), 2059-2066, 2011	42	2011
Clusternet: Deep hierarchical cluster network with rigorously rotation-invariant representation for point cloud analysis C Chen, G Li, R Xu, T Chen, M Wang, L Lin Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019	40	2019
Interpretable video captioning via trajectory structured localization X Wu, G Li, Q Cao, Q Ji, L Lin Proceedings of the IEEE conference on Computer Vision and Pattern …, 2018	40	2018
Cross-modal attentional context learning for rgb-d object detection G Li, Y Gan, H Wu, N Xiao, L Lin IEEE Transactions on Image Processing 28 (4), 1591-1601, 2018	32	2018
Weighted attentional blocks for probabilistic object tracking H Wu, G Li, X Luo The Visual Computer 30 (2), 229-243, 2014	32	2014
Weakly supervised salient object detection using image labels G Li, Y Xie, L Lin Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018	30	2018

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