Guanbin Li (李冠彬)

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Liang LinFellow of IEEE/IAPR, Professor of Computer Science, Sun Yat-sen UniversityAdresse e-mail validée de ieee.org
Yizhou YuThe University of Hong Kong, IEEE FellowAdresse e-mail validée de acm.org
Lingbo LiuAssociate Researcher, Peng Cheng LaboratoryAdresse e-mail validée de pcl.ac.cn
Xiang WanShenzhen Research Institute of Big DataAdresse e-mail validée de sribd.cn
Shuguang CuiDistinguished Presidential Chair Professor, School of Science and Engineering, CUHKSZAdresse e-mail validée de cuhk.edu.cn
Chaowei FangXidian UniversityAdresse e-mail validée de xidian.edu.cn
si liuBeihang UniversityAdresse e-mail validée de buaa.edu.cn
Hefeng WuSun Yat-sen UniversityAdresse e-mail validée de mail.sysu.edu.cn
Xiaoguang HanAssistant Professor, The Chinese University of Hong Kong, ShenzhenAdresse e-mail validée de cuhk.edu.cn
Tianshui Chen（陈添水）Guangdong University of TechnologyAdresse e-mail validée de gdut.edu.cn
Ruijia XuAdresse e-mail validée de connect.ust.hk
Weikai ChenPrincipal Research Scientist, Tencent AmericaAdresse e-mail validée de tencent.com
Wanli Ouyang (欧阳万里)Shanghai AI Lab & CUHKAdresse e-mail validée de sydney.edu.au
Xiaodan LiangAssociate Professor, Sun Yat-sen University, MBZUAI, CMU, NUSAdresse e-mail validée de mail2.sysu.edu.cn
Keze Wang (王可泽)Sun Yat-sen UniversityAdresse e-mail validée de mail.sysu.edu.cn
Zhouxia WangThe University of Hong KongAdresse e-mail validée de connect.hku.hk
Zhen LiAssistant Professor, the Chinese University of Hong Kong, Shenzhen (CUHKSZ)Adresse e-mail validée de cuhk.edu.cn
Yukai ShiGuangdong University of TechnologyAdresse e-mail validée de gdut.edu.cn
zhanghui kuangDepartment of Computer Science, The University of Hong KongAdresse e-mail validée de cs.hku.hk
Bowen DuBeihang UniversityAdresse e-mail validée de buaa.edu.cn

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Guanbin Li (李冠彬)

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

Adresse e-mail validée de mail.sysu.edu.cn - Page d'accueil

Intelligent Perception Visual Comprehension Deep Learning


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Visual saliency based on multiscale deep features G Li, Y Yu Proceedings of the IEEE conference on computer vision and pattern …, 2015	1591	2015
Deep contrast learning for salient object detection G Li, Y Yu Proceedings of the IEEE conference on computer vision and pattern …, 2016	937	2016
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	632	2019
Visual saliency detection based on multiscale deep CNN features G Li, Y Yu IEEE transactions on image processing 25 (11), 5012-5024, 2016	451	2016
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	380	2017
Instance-level salient object segmentation G Li, Y Xie, L Lin, Y Yu Proceedings of the IEEE conference on computer vision and pattern …, 2017	339	2017
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	300	2019
Adaptive context selection for polyp segmentation R Zhang, G Li, Z Li, S Cui, D Qian, Y Yu Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020	297	2020
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	283	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	271	2019
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	245	2017
Dynamic graph attention for referring expression comprehension S Yang, G Li, Y Yu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019	244	2019
Motion guided attention for video salient object detection H Li, G Chen, G Li, Y Yu Proceedings of the IEEE/CVF international conference on computer vision …, 2019	233	2019
A real-time cross-modality correlation filtering method for referring expression comprehension Y Liao, S Liu, G Li, F Wang, Y Chen, C Qian, B Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020	225	2020
Crowd counting using deep recurrent spatial-aware network L Liu, H Wang, G Li, W Ouyang, L Lin arXiv preprint arXiv:1807.00601, 2018	221	2018
Referring image segmentation via cross-modal progressive comprehension S Huang, T Hui, S Liu, G Li, Y Wei, J Han, L Liu, B Li Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020	212	2020
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	207	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	199	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	190	2018
Linguistic structure guided context modeling for referring image segmentation T Hui, S Liu, S Huang, G Li, S Yu, F Zhang, J Han Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020	175	2020

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