Xiaogang
Wang/Publications
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Object Recognition, Detection & Segmentation
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Gated
Bi-directional CNN for Object Detection |
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X. Zeng, W. Ouyang, B. Yang, J. Yan, and X. Wang |
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European
Conference on Computer Vision (ECCV), 2016.
[PDF][Project
webpage] |
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Learnable
Histogram: Statistical Context Features for Deep Neural Networks |
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Z. Wang, H. Li, W. Ouyang,
and X. Wang |
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European
Conference on Computer Vision (ECCV), 2016.
[PDF] |
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T-CNN: Tubelets with Convolutional Neural Networks for Object Detection from
Videos |
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K.
Kang, H. Li, J. Yan, X. Zeng, B. Yang, T. Xiao, C.
Zhang, Z. Wang, R. Wang, X. Wang, and W. Ouyang |
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Object Detection from Video Tubelets
with Convolutional Neural Networks |
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K.
Kang, W. Ouyang, H. Li, and X. Wang |
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in Proceedings of IEEE Computer Society
Conference on Computer Vision and Patter Recognition (CVPR)
2016. [PDF] [Code] |
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Object Detection from Video Tubelets
with Convolutional Neural Networks |
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K.
Kang, W. Ouyang, H. Li, and X. Wang |
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arXiv:1604.04053, 2016.
[PDF] |
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Multi-Bias Non-linear Activation in Deep Neural Networks |
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H.
Li, W. Ouyang and X. Wang |
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in Proceedings of International Conference on Machine
Learning
(ICML), 2016. |
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Multi-Bias Non-linear Activation in Deep Neural Networks |
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H.
Li, W. Ouyang and X. Wang |
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Factors in Finetuning Deep Model for
Object Detection with Long-tail Distribution |
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W.
Ouyang, X. Wang, C. Zhang, and X.
Yang |
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in Proceedings
of IEEE Computer Society Conference on Computer Vision and Patter Recognition
(CVPR) 2016. [PDF]
[Project
webpage] |
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Factors in Finetuning Deep Model for
object detection |
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Wanli Ouyang, Xiaogang
Wang, Cong Zhang, Xiaokang Yang |
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arXiv:1601.05150.
[PDF] |
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Convolutional Neural Networks with
Low-Rank Regularization |
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C. Tai, T.
Xiao, Y. Zhang, X. Wang, and W. E |
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in Proceedings
of International Conference on Learning Representations (ICLR),
2016. [PDF] [Code] |
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Convolutional Neural Networks with
Low-Rank Regularization |
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C. Tai, T.
Xiao, Y. Zhang, X. Wang, and W. E |
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arXiv:1511.06067,
2015. [PDF] |
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Window-Object Relationship Guided Representation Learning for Generic
Object Detections |
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Xingyu Zeng, Wanli Ouyang,
and Xiaogang Wang |
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arXiv:1512.02736. [PDF] |
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Learning Deep Representation with Large-scale Attributes |
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W. Ouyang, H. Li, X. Zeng, and X. Wang |
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in Proceedings of
IEEE International Conference on Computer Vision (ICCV)
2015. [PDF] |
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DeepID-Net:
Deformable Deep Convolutional Neural Networks for
Object Detection |
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DeepID-Net:
Deformable Deep Convolutional Neural Networks for
Object Detection |
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W. Ouyang, X. Zeng, and X. Wang et
al. |
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IEEE
Transactions on Pattern Analysis and Machine Intelligence
(TAPMI), DOI: 10.1109/ TPAMI.2016.2587642,
2016. [PDF][Project
webpage] |
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DeepID-Net: Deformable Deep Convolutional Neural
Networks for Object Detection |
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W. Ouyang, X. Wang,
X. Zeng, S. Qiu, P. Luo, Y. Tian, H. Li, S. Yang,
Z. Wang, C. Loy, X. Tang |
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in Proceedings of IEEE Computer Society Conference
on Computer Vision and Patter Recognition (CVPR) 2015.
[PDF] |
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DeepID-Net: Multi-Stage and Deformable Deep Convolutional
Neural Networks for Object Detection |
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W. Ouyang, P. Luo, X. Zeng, S. Qiu, Y. Tian, H. Li, S. Yang,
Z. Wang, Y. Xiong, C. Qian,
Z. Zhu, R. Wang, C. Loy, X. Wang, and X. Tang |
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Technical
Report, arXiv:1409.3505,
2014. [PDF] |
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Saliency Detection by Multi-Context Deep Learning |
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R. Zhao, W. Ouyang, H. Li, and X.
Wang |
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in Proceedings of IEEE Computer Society
Conference on Computer Vision and Patter Recognition (CVPR)
2015. [PDF] |
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Joint Semantic Segmentation by Searching for
Compatible-Competitive References |
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P.
Luo, X. Wang, L. Liang, and X. Tang |
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in
Proceedings of ACM Multimedia, 2012. [PDF] |
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Semantic Object Segmentation |
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X. Wang |
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in the book of “Video Segmentation and Its
Applications”, edited by King N. Ngan and Hongliang Li, published by Springer, 2011. [PDF] |
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Spatial Latent Dirichlet Allocation |
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X.
Wang
and E. Grimson |
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in Proceedings of Neural Information Processing Systems
Conference
(NIPS) 2007. [PDF] |
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Median Robust Extended Local Binary Pattern for
Texture Classification |
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L. Liu, S. Lao, P. Fieguth, Y. Guo, X. Wang, and M. Peitikainen |
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IEEE
Transactions on Image Processing (TIP), Vol. 25, pp. 1368-1381, 2016. [PDF] |
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Evaluation of LBP and Deep Texture Descriptors with a
New Robustness Benchmark |
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L.
Liu, P. Fieguth, X. Wang, M. Pietikäinen, and D. Hu |
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European
Conference on Computer Vision (ECCV), 2016. [PDF] |
Pedestrian
Detection
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Deep Learning Strong Parts for Pedestrian Detection |
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Y. Tian, P. Luo, X. Wang, and X. Tang |
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in Proceedings of
IEEE International Conference on Computer Vision (ICCV)
2015. [PDF] |
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Pedestrian Detection aided by Deep Learning Semantic Tasks |
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Y. Tian, P. Luo, X. Wang, and X. Tang |
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in Proceedings of IEEE Computer Society
Conference on Computer Vision and Patter Recognition (CVPR)
2015. [PDF] |
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Deep Learning of
Scene-Specific Classifier for Pedestrian Detection |
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X. Zeng, W. Ouyang, and X. Wang |
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in Proceedings of European Conference on
Computer Vision (ECCV) 2014. [PDF] |
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Joint Deep Learning
for Pedestrian Detection |
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W. Ouyang and X. Wang |
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in Proceedings of IEEE International Conference on Computer
Vision (ICCV) 2013.[PDF][Project
Page] |
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Multi-Stage Contextual
Deep Learning for Pedestrian Detection |
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X. Zeng, W. Ouyang
and X. Wang |
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in Proceedings of IEEE International Conference on Computer
Vision (ICCV) 2013.[PDF] |
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Single-Pedestrian
Detection Aided by 2-Pedestrian Detection |
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W. Ouyang, X. Zeng, and X. Wang |
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Accepted
to IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2015. [PDF] [Project
Page] |
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Single-Pedestrian
Detection aided by Multi-pedestrian Detection |
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W. Ouyang and X. Wang |
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in Proceedings of IEEE Computer Society
Conference on Computer Vision and Patter Recognition (CVPR)
2013. [PDF] |
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Learning Mutual Visibility Relationship for Pedestrian
Detection with a Deep Model |
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W. Ouyang, X. Zeng and X. Wang |
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International
Journal of Computer Vision (IJCV), DOI 10.1007/s11263-016-0890-9, 2016.
[PDF] |
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Modeling Mutual Visibility
Relationship with a Deep Model in Pedestrian Detection |
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W. Ouyang, X. Zeng
and X. Wang |
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in Proceedings of IEEE Computer Society
Conference on Computer Vision and Patter Recognition (CVPR)
2013. [PDF] |
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Partial Occlusion Handling in Pedestrian
Detection with a Deep Model |
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W.
Ouyang, X. Zeng, and X.
Wang |
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IEEE
Transactions and Circuits and Systems for Video Technology, DOI:
10.1109/TCSVT.2015.2501940,, 2015. [PDF] |
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A Discriminative
Deep Model for Pedestrian Detection with Occlusion Handling |
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W.
Ouyang and X. Wang |
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in
Proceedings of IEEE Computer Society Conference on Computer Vision and
Patter Recognition (CVPR) 2012. [PDF] |
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Scene-Specific
Pedestrian Detection for Static Video Surveillance |
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X. Wang, M. Wang, and W. Li |
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IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI),
Vol. 36, pp.361-374, 2014. [PDF] |
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Transferring a Generic
Pedestrian Detector Towards Specific Scenes |
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M. Wang, W. Li and X. Wang |
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in
Proceedings of IEEE Computer Society Conference on Computer Vision and
Patter Recognition (CVPR) 2012. [PDF] |
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Automatic Adaptation
of a Generic Pedestrian Detector to a Specific Traffic Scene |
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M. Wang and X. Wang |
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in
Proceedings of IEEE Computer Society Conference on Computer Vision and
Patter Recognition (CVPR) 2011. [PDF] |
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Human Pose
Estimation and Parsing
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End-to-End Learning of Deformable Mixture of Parts and Deep Convolutional
Neural Networks for Human Pose Estimation |
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W. Yang, W.
Ouyag, H. Li, and X. Wang |
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in Proceedings of IEEE Computer Society
Conference on Computer Vision and Patter Recognition (CVPR),
oral, 2016. [PDF] |
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Structured Feature Learning for Pose Estimation |
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X. Chu, W.
Ouyang, H. Li, and X. Wang |
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in Proceedings of IEEE Computer Society
Conference on Computer Vision and Patter Recognition (CVPR),
spotlight, 2016. [PDF] [Project
webpage] |
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Structured Feature Learning for Pose Estimation |
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X. Chu, W.
Ouyang, H. Li, and X. Wang |
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arXiv:1603.09065,
2016. [PDF] |
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Multi-task Recurrent Neural Network for Immediacy Prediction |
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X. Chu, W. Ouyang, W. Yang, and X.
Wang |
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in Proceedings of IEEE International Conference on Computer Vision (ICCV) 2015. [PDF][Project webpage] |
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Multi-source Deep
Learning for Human Pose Estimation |
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W. Ouyang, X. Chu, and X. Wang |
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in Proceedings of IEEE Computer Society Conference
on Computer Vision and Patter Recognition (CVPR) 2014.
[PDF] |
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Pedestrian Parsing
via Deep Decompositional Neural Network |
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P. Luo, X. Wang, and X. Tang |
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in Proceedings of IEEE Computer Society Conference
on Computer Vision and Patter Recognition (CVPR) 2013. [PDF][Project
Page] |
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Person Reidentification and Attribute Recognition
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Fashion Landmark
Detection in the Wild |
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Z. Liu, S. Yan, P. Luo,
X. Wang, and X. Tang |
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European
Conference on Computer Vision (ECCV), 2016. [PDF] |
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End-to-End Deep Learning for Person Search |
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T.
Xiao, S. Li, B. Wang, L. Lin, and X. Wang |
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DeepFashion: Powering Robust Clothes Recognition and Retrieval
with Rich Annotations |
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Z.
Liu, P. Luo, S. Qiu, X. Wang, and X. Tang |
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in Proceedings of IEEE Computer Society
Conference on Computer Vision and Patter Recognition (CVPR)
2016. [PDF] |
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Person Re-identification by saliency Learning |
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R. Zhao, W.
Ouyang, and X. Wang |
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IEEE
Transactions on Pattern Analysis and Machine Intelligence, DOI: 10.1109/TPAMI.2016.2544310,
2016. [PDF] |
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A Comprehensive Study on Cross-View Gait Based Human
Identification with Deep CNNs |
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Z. Wu, Y.
Huang, L. Wang, X. Wang, and T. Tan |
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IEEE
Transactions on Pattern Analysis and Machine Intelligence, DOI: 10.1109/TPAMI.2016.2545669,
2016. [PDF] |
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Learning Deep Feature Representations with Domain Guided
Dropout for Person Re-identification |
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T,
Xiao, W.Ouyang, H, Li, and X. Wang |
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in Proceedings of IEEE Computer Society
Conference on Computer Vision and Patter Recognition (CVPR)
2016. [PDF] [Code] |
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Learning Deep Feature Representations with Domain Guided
Dropout for Person Re-identification |
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T,
Xiao, W.Ouyang, H, Li, and X. Wang |
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arXiv:1604.07528,
2016. [PDF] |
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Learning from Massive Noisy Labeled Data for Image Classification |
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T. Xiao, T.
Xia, Y. Yang, C. Huang, and X. Wang |
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in Proceedings of IEEE Computer Society
Conference on Computer Vision and Patter Recognition (CVPR)
2015. [PDF] |
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Person Re-identification: System Design and
Evaluation Overview |
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X.
Wang
and R. Zhao |
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in the book of "Person
Re-Identification," edited by Shaogang Gong,
Marco Cristani, Shuicheng
Yan, and Chen Change Loy, published by Springer, 2014. [PDF] |
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DeepReID: Deep Filter
Pairing Neural Network for Person Re-Identification |
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W. Li, R. Zhao, T. Xiao, and X. Wang |
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in Proceedings of IEEE Computer Society
Conference on Computer Vision and Patter Recognition (CVPR)
2014. [PDF] |
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Learning Mid-level Filters for Person Re-identification |
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R. Zhao, W. Ouyang and X. Wang |
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in Proceedings of IEEE Computer Society
Conference on Computer Vision and Patter Recognition (CVPR)
2014. [PDF] [Project
Page] |
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Person Re-identification by Salience Matching |
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R. Zhao, W. Ouyang and X. Wang |
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in Proceedings of IEEE International Conference on Computer
Vision (ICCV) 2013.[PDF] |
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Unsupervised Salience Learning for Person Re-identification |
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R. Zhao, W. Ouyang and X. Wang |
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in Proceedings of IEEE Computer Society Conference on Computer
Vision and Patter Recognition (CVPR) 2013.[PDF] |
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Locally Aligned Feature Transforms across Views |
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W. Li and X. Wang |
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in Proceedings of IEEE Computer Society Conference on Computer
Vision and Patter Recognition (CVPR) 2013.[PDF] |
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Human Reidentification with
Transferred Metric Learning |
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W. Li, R. Zhao and X. Wang |
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in
Proceedings of Asian Conference on Computer Vision (ACCV)
2012. [PDF] |
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Shape and Appearance Context Modeling |
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X.
Wang,
G. Doretto, T. Sebastian, J. Rittscher,
and P. Tu |
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in Proceedings of IEEE International Conference on Computer
Vision (ICCV)
2007. [PDF] |
Crowd Behaviour
Analysis
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Crossing-line
Crowd Counting with Two-phase Deep Neural Networks |
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Z. Zhao, H. Li, R. Zhao, and X. Wang |
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European
Conference on Computer Vision (ECCV), 2016. [PDF] |
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Pedestrian
Behavior Understanding and Prediction with Deep Neural Networks |
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S. Yi, H. Li, and X. Wang |
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European
Conference on Computer Vision (ECCV), 2016. [PDF] |
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Crowded Scene
Understanding by Deeply Learned |
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J. Shao, C. C. Loy,
K. Kang, and X. Wang |
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IEEE
Transactions on Circuits and Systems for Video Technology
(TCSVT), DOI:
10.1109/TCSVT.2016.2593647, 2016.
[PDF] |
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Exemplar-AMMs:
Recognizing Crowd Movements from Pedestrian Trajectories |
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W. Liu, R. Lau, X. Wang, D. Manocha |
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IEEE
Transactions on Multimedia (TMM),
Vol. 18, pp. 2398 - 2406, 2016.
[PDF] |
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Data-Driven Crowd Understanding: A Baseline for a Large-Scale
Crowd Dataset |
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C. Zhang, K.
Kang, H. Li, X. Wang, R. Xie, and X. Yang |
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IEEE
Transactions on Multimedia (TMM), DOI: 10.1109/TMM.2016.2542585, 2016.
[PDF] [Dataset] |
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Slicing Convolutional Neural Network for Crowd Video Understanding |
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J. Shao, C.
C. Loy, K. Kang, and X. Wang |
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in Proceedings of IEEE Computer Society
Conference on Computer Vision and Patter Recognition (CVPR),
spotlight, 2016. |
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Pedestrian Travel Time Estimation in Crowded Scenes |
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S. Yi, H. Li, and X.
Wang |
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in Proceedings of
IEEE International Conference on Computer Vision (ICCV)
2015. [PDF] [Demo
Video] |
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Deeply Learned Attributes for Crowded Scene Understanding |
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J. Shao, K. Kang, C. C. Loy, and X. Wang |
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in Proceedings of IEEE Computer Society Conference on Computer Vision and Patter Recognition (CVPR) 2015. [PDF] [Project webpage] |
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Pedestrian
Behavior Modeling from Stationary Crowds with Applications to Intelligent
Surveillance |
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S. Yi, H. Li, and X. Wang |
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IEEE
Transactions on Image Processing (TIP), Vol. 25, pp. 4354 – 4368, 2016. [PDF] |
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Understanding Pedestrian Behaviors from Stationary Crowd
Groups |
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S. Yi, H. Li, and X.
Wang |
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in Proceedings of IEEE Computer Society Conference
on Computer Vision and Patter Recognition (CVPR) 2015.
[PDF] [Demo Video] [Dataset] |
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Cross-scene Crowd via Deep Convolutional
Neural Networks |
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C. Zhang, H. Li, X. Wang, and X. Yang |
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in Proceedings of IEEE Computer Society
Conference on Computer Vision and Patter Recognition (CVPR)
2015. [PDF] [Project Webpage] |
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Crowd Tracking with Dynamic Evolution of Group Structures |
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F. Zhu, X. Wang, and
Y. Yu |
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in Proceedings of European Conference on
Computer Vision (ECCV) 2014. [PDF] |
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L0 Regularized Stationary-time Estimation for Crowd Analysis |
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S. Yi, X.
Wang, C. Lu, J. Jia, and H. Li |
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IEEE
Transactions on Pattern Analysis and Machine Intelligence, DOI: 10.1109/TPAMI.2016.2560807,
2016. [PDF] |
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L0
Regularized Stationary Time Estimation for Crowd Group Analysis |
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S. Yi, X. Wang,
C. Lu, and J. Jia |
|
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in Proceedings of IEEE Computer Society
Conference on Computer Vision and Patter Recognition (CVPR)
2014 (oral). [PDF] [Presentation]
[Presentation
File] [Demo
Video] [Supplementary
Material] [Dataset]
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Profiling
Stationary Crowd Groups |
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S. Yi and X. Wang |
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in Proceedings of IEEE International Conference
Multimedia and Expo. (ICME)
2014 (oral). [PDF] |
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Learning Scene-Independent Group Descriptors for Crowd
Understanding |
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J. Shao, C. C. Loy,
and X. Wang |
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IEEE
Transactions on Circuits and Systems for Video Technology (TCSVT), DOI:
10.1109/TCSVT.2016.2539878, 2016. [PDF] |
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Scene-Independent
Group Profiling in Crowd |
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J. Shao, C. C. Loy, and X. Wang |
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in Proceedings of IEEE Computer Society Conference
on Computer Vision and Patter Recognition (CVPR) 2014 (oral). [PDF] [Project
Page] |
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Measuring
Crowd Collectiveness |
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B. Zhou, X. Tang, H. Zhang, and X. Wang |
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IEEE
Transactions on Pattern Analysis and Machine Intelligence (PAMI),
Vol. 36, pp. 1586-1599, 2014. [PDF] [Project Page]
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Measuring
Crowd Collectiveness |
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B. Zhou, X. Tang and X. Wang |
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in Proceedings of IEEE Computer Society Conference
on Computer Vision and Patter Recognition (CVPR) 2013. [PDF] |
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Coherent
Filtering: Detecting Coherent Motions from Crowd Clutters |
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B. Zhou, X. Tang and X. Wang |
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in
Proceedings of European Conference on Computer Vision (ECCV)
2012.[PDF] |
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Learning
Collective Crowd Behaviors with Dynamic Pedestrian-Agents |
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B. Zhou, X. Tang and X. Wang |
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International
Journal of Computer Vision (IJCV), DOI 10.1007/s11263-014-0735-3,
2014. [PDF] [Project Page] |
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Understanding
Collective Crowd Behaviors: Learning a Mixture Model of Dynamic
Pedestrian-Agents |
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B. Zhou, X. Wang, and X. Tang |
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in
Proceedings of IEEE Computer Society Conference on Computer Vision and
Patter Recognition (CVPR) 2012.[PDF] |
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Random
Field Topic Model for Semantic Region Analysis |
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B. Zhou, X. Wang, and X. Tang |
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in
Proceedings of IEEE Computer Society Conference on Computer Vision and
Patter Recognition (CVPR) 2011.[PDF] |
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Unsupervised Activity Perception in Crowded and Complicated
Scenes Using Hierarchical Bayesian Models |
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X. Wang, X. Ma, and E. Grimson |
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IEEE
Transactions on Pattern Analysis and Machine Intelligence (PAMI),
Vol. 31, pp. 539-555, 2009. [PDF] |
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Unsupervised Activity Perception by Hierarchical Bayesian
Models |
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X. Wang, X. Ma and E. Grimson |
|
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in Proceedings of IEEE Computer Society Conference on
Computer Vision and Patter Recognition (CVPR) 2007. [PDF] |
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Activity Analysis
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Intelligent
Multi-Camera Video Surveillance: A Review |
|
Xiaogang Wang |
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Pattern
Recognition Letters,
Vol. 34, pp. 3-19, 2013.[PDF] |
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Action
Recognition Using Topic Models |
|
Xiaogang Wang |
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in
the book of "Looking at People: The past, the present and the
future,"
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edited
by T. B. Moeslund, V. Kruger, and L. Sigal, published by Springer, 2011.[PDF] |
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Trajectory
Analysis and Semantic Region Modeling Using Nonparametric Bayesian Models |
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X.
Wang,
K. T. Ma, G. Ng, and E. Grimson |
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International
Journal of Computer Vision (IJCV), Vol. 96, pp.
287-321, 2011.[PDF] |
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Trajectory Analysis and Semantic Region Modeling Using A
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