Xiaodan Liang
Xiaodan Liang
Associate Professor, Sun Yat-sen University
Verified email at mail2.sysu.edu.cn - Homepage
TitleCited byYear
Is faster r-cnn doing well for pedestrian detection?
L Zhang, L Lin, X Liang, K He
European conference on computer vision, 443-457, 2016
4262016
Controllable text generation
Z Hu, Z Yang, X Liang, R Salakhutdinov, EP Xing
arXiv preprint arXiv:1703.00955 4, 2017
302*2017
Scale-aware fast R-CNN for pedestrian detection
J Li, X Liang, SM Shen, T Xu, J Feng, S Yan
IEEE Transactions on Multimedia 20 (4), 985-996, 2017
2712017
Stc: A simple to complex framework for weakly-supervised semantic segmentation
Y Wei, X Liang, Y Chen, X Shen, MM Cheng, J Feng, Y Zhao, S Yan
IEEE transactions on pattern analysis and machine intelligence 39 (11), 2314 …, 2016
1952016
Object region mining with adversarial erasing: A simple classification to semantic segmentation approach
Y Wei, J Feng, X Liang, MM Cheng, Y Zhao, S Yan
Proceedings of the IEEE conference on computer vision and pattern …, 2017
1662017
Perceptual generative adversarial networks for small object detection
J Li, X Liang, Y Wei, T Xu, J Feng, S Yan
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
1632017
Semantic object parsing with graph lstm
X Liang, X Shen, J Feng, L Lin, S Yan
European Conference on Computer Vision, 125-143, 2016
1482016
Human parsing with contextualized convolutional neural network
X Liang, C Xu, X Shen, J Yang, S Liu, J Tang, L Lin, S Yan
Proceedings of the IEEE international conference on computer vision, 1386-1394, 2015
1372015
Look into person: Self-supervised structure-sensitive learning and a new benchmark for human parsing
K Gong, X Liang, D Zhang, X Shen, L Lin
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
1352017
Proposal-free network for instance-level object segmentation
X Liang, L Lin, Y Wei, X Shen, J Yang, S Yan
IEEE transactions on pattern analysis and machine intelligence 40 (12), 2978 …, 2017
1272017
Deep human parsing with active template regression
X Liang, S Liu, X Shen, J Yang, L Liu, J Dong, L Lin, S Yan
IEEE transactions on pattern analysis and machine intelligence 37 (12), 2402 …, 2015
1232015
Deep variation-structured reinforcement learning for visual relationship and attribute detection
X Liang, L Lee, EP Xing
Proceedings of the IEEE conference on computer vision and pattern …, 2017
1172017
Matching-cnn meets knn: Quasi-parametric human parsing
S Liu, X Liang, L Liu, X Shen, J Yang, C Xu, L Lin, X Cao, S Yan
Proceedings of the IEEE conference on computer vision and pattern …, 2015
1152015
Poseidon: An efficient communication architecture for distributed deep learning on {GPU} clusters
H Zhang, Z Zheng, S Xu, W Dai, Q Ho, X Liang, Z Hu, J Wei, P Xie, ...
2017 {USENIX} Annual Technical Conference ({USENIX}{ATC} 17), 181-193, 2017
113*2017
Semantic object parsing with local-global long short-term memory
X Liang, X Shen, D Xiang, J Feng, L Lin, S Yan
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
1062016
Dual motion gan for future-flow embedded video prediction
X Liang, L Lee, W Dai, EP Xing
Proceedings of the IEEE International Conference on Computer Vision, 1744-1752, 2017
1032017
Towards computational baby learning: A weakly-supervised approach for object detection
X Liang, S Liu, Y Wei, L Liu, L Lin, S Yan
Proceedings of the IEEE International Conference on Computer Vision, 999-1007, 2015
94*2015
Recurrent topic-transition gan for visual paragraph generation
X Liang, Z Hu, H Zhang, C Gan, EP Xing
Proceedings of the IEEE International Conference on Computer Vision, 3362-3371, 2017
822017
Attentive contexts for object detection
J Li, Y Wei, X Liang, J Dong, T Xu, J Feng, S Yan
IEEE Transactions on Multimedia 19 (5), 944-954, 2016
802016
Peak-piloted deep network for facial expression recognition
X Zhao, X Liang, L Liu, T Li, Y Han, N Vasconcelos, S Yan
European conference on computer vision, 425-442, 2016
782016
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Articles 1–20