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
2632016
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, 2018
1492018
Controllable text generation. arXiv preprint
Z Hu, Z Yang, X Liang, R Salakhutdinov, EP Xing
arXiv preprint arXiv:1703.00955 7, 2017
130*2017
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 …, 2017
1092017
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
942015
Semantic object parsing with graph lstm
X Liang, X Shen, J Feng, L Lin, S Yan
European Conference on Computer Vision, 125-143, 2016
932016
Deep human parsing with active template regression
X Liang, S Liu, X Shen, J Yang, L Liu, J Dong, L Lin, S Yan
arXiv preprint arXiv:1503.02391, 2015
932015
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
902015
Proposal-free network for instance-level object segmentation
X Liang, Y Wei, X Shen, J Yang, L Lin, S Yan
arXiv preprint arXiv:1509.02636, 2015
892015
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
87*2015
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
IEEE CVPR 1 (2), 3, 2017
802017
Recurrent topic-transition GAN for visual paragraph generation
X Liang, Z Hu, H Zhang, C Gan, EP Xing
arXiv preprint arXiv:1703.07022, 2017
792017
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
752016
Perceptual generative adversarial networks for small object detection
J Li, X Liang, Y Wei, T Xu, J Feng, S Yan
IEEE CVPR, 2017
682017
Deep variation-structured reinforcement learning for visual relationship and attribute detection
X Liang, L Lee, EP Xing
Computer Vision and Pattern Recognition (CVPR), 2017 IEEE Conference on …, 2017
592017
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, ...
arXiv preprint, 2017
59*2017
Complex background subtraction by pursuing dynamic spatio-temporal models.
L Lin, Y Xu, X Liang, JH Lai
IEEE Trans. Image Processing 23 (7), 3191-3202, 2014
542014
Dual motion GAN for future-flow embedded video prediction
X Liang, L Lee, W Dai, EP Xing
IEEE International Conference on Computer Vision (ICCV) 1, 2017
522017
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
CVPR 6, 7, 2017
522017
Lstm-cf: Unifying context modeling and fusion with lstms for rgb-d scene labeling
Z Li, Y Gan, X Liang, Y Yu, H Cheng, L Lin
European Conference on Computer Vision, 541-557, 2016
442016
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