Guanbin Li (李冠彬)
Guanbin Li (李冠彬)
Associate Professor, School of Data and Computer Science, Sun Yat-Sen University, China
在 mail.sysu.edu.cn 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Visual saliency based on multiscale deep features
G Li, Y Yu
Proceedings of the IEEE conference on computer vision and pattern …, 2015
9072015
Deep contrast learning for salient object detection
G Li, Y Yu
Proceedings of the IEEE conference on computer vision and pattern …, 2016
6702016
Visual saliency detection based on multiscale deep CNN features
G Li, Y Yu
IEEE transactions on image processing 25 (11), 5012-5024, 2016
2762016
Instance-level salient object segmentation
G Li, Y Xie, L Lin, Y Yu
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
2062017
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
1692017
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
1522019
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
1482017
Crowd counting using deep recurrent spatial-aware network
L Liu, H Wang, G Li, W Ouyang, L Lin
arXiv preprint arXiv:1807.00601, 2018
1272018
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
1202019
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
1172018
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
872018
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
842018
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
772019
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
672018
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
642019
Dynamic graph attention for referring expression comprehension
S Yang, G Li, Y Yu
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
512019
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
502019
Cross-modal relationship inference for grounding referring expressions
S Yang, G Li, Y Yu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
462019
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
442018
Weakly supervised salient object detection using image labels
G Li, Y Xie, L Lin
Thirty-second AAAI conference on artificial intelligence, 2018
432018
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