Wanli Ouyang, Ph.D. Professor at Shanghai AI Laboratory I'm with MMlab and SIGMA lab wanli.ouyang@sydney.edu.au

Biography

Wanli Ouyang obtained Ph.D from the Dept. of Electronic Engineering , the Chinese University of Hong Kong. He is now a professor at Shanghai AI Lab (a new and exciting research lab). He was awarded Australian Research Council Future Fellowship. His research interests include AI4Science, computer vision, and pattern recognition.

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Chef's Recommendation on Recent Papers

Boyu Chen, Peixia Li, Chuming Li, Baopu Li, Lei Bai, Chen Lin, Ming Sun, Junjie yan, Wanli Ouyang, "GLiT: Neural Architecture Search for Global and Local Image Transformer", Proc. ICCV, 2021. [Full Text] [Video]

Boyu Chen, Peixia Li, Baopu Li, Chen Lin, Chuming Li, Ming Sun, Junjie Yan, Wanli Ouyang, "BN-NAS: Neural Architecture Search with Batch Normalization", Proc. ICCV, 2021. [Full Text]

Yuanzheng Ci, Chen Lin, Ming Sun, Boyu Chen, Hongwen Zhang, Wanli Ouyang, "Evolving Search Space for Neural Architecture Search", Proc. ICCV, 2021. [Full Text]

Yan Lu, Xinzhu Ma, Lei Yang, Tianzhu Zhang, Yating Liu, Qi Chu, Junjie Yan, Wanli Ouyang, "Geometry Uncertainty Projection Network for Monocular 3D Object Detection", Proc. ICCV, 2021. [Full Text] [Source code]

Xinzhu Ma, Yinmin Zhang, Dan Xu, Dongzhan Zhou, Shuai Yi, Haojie Li, Wanli Ouyang, "Delving into Localization Errors for Monocular 3D Object Detection", Proc. CVPR, 2021. [Full Text] [Source code]

Shixiang Tang, Dapeng Chen, Lei Bai, Kaijian Liu, Yixiao Ge, Wanli Ouyang, "Mutual CRF-GNN Network for Few-shot Learning", Proc. CVPR, 2021. [Full Text]

Shixiang Tang, Dapeng Chen, Jinguo Zhu, Shijie Yu, Wanli Ouyang, "Layerwise Optimization by Gradient Decomposition for Continual Learning", Proc. CVPR, 2021. [Full Text]

Dongzhan Zhou, Xinchi Zhou, Hongwen Zhang, Shuai Yi, Wanli Ouyang, "Cheaper Pre-training Lunch: An Efficient Paradigm for Object Detection", Proc. ECCV, 2020. [Full Text]

Dongzhan Zhou, Xinchi Zhou, Wenwei Zhang, Chen Change Loy, Shuai Yi, Xuesen Zhang, Wanli Ouyang, “EcoNAS: Finding Proxies for Economical Neural Architecture Search”, Proc. CVPR, 2020.[Full Text]

Xinzhu Ma, Shinan Liu, Zhiyi Xia, Hongwen Zhang, Xingyu Zeng, Wanli Ouyang, "Rethinking Pseudo-LiDAR Representation", Proc. ECCV, 2020. [Full Text] [Source code]

Our recent survey on object detection:
Liu, Li, Wanli Ouyang, Xiaogang Wang, Paul Fieguth, Jie Chen, Xinwang Liu, and Matti Pietikäinen, "Deep learning for generic object detection: A survey," IJCV, accepted, 2019. [Full Text]

Chef's Recommendation on Previous Papers

Outstanding Young Author Award of the IEEE CAS Society in 2020 for the first work on deep learning winning the ImageNet Large-scale Video Object Detection Challenge (corresponding author).

Kai Kang, Hongsheng Li, Junjie Yan, Xingyu Zeng, Bin Yang, Tong Xiao, Cong Zhang, Zhe Wang, Ruohui Wang, Xiaogang Wang, Wanli Ouyang, "T-CNN: Tubelets with Convolutional Neural Networks for Object Detection from Videos", IEEE Transactions on Circuits and Systems for Video Technology (CSVT) 2017.[Full Text]

Rui Zhao Wanli Ouyang, and Xiaogang Wang, "Unsupervised Salience Learning for Person Re-identification", Proc. IEEE CVPR 2013 (CVPR/ICCV most influential paper)

Wanli Ouyang, Xiaogang Wang, "Joint Deep Learning for Pedestrian Detection", Proc. IEEE ICCV 2013 (CVPR/ICCV most influential paper)

A new back-bone deep model design (performs better than ResNet and DenseNet):
Shuyang Sun, Jiangmiao Pang, Jianping Shi, Shuai Yi, Wanli Ouyang, "FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction," NuerIPS. (Previously called NIPS), 2018. [Full Text] [ Source code ]

Details on our wining entry in ImageNet 2016 challenge on object detection:
Xingyu Zeng (equal contribution), Wanli Ouyang (equal contribution), Junjie Yan, Hongsheng Li, Tong Xiao, Kun Wang, Yu Liu, Yucong Zhou, Bin Yang, Zhe Wang, Hui Zhou, Xiaogang Wang, "Crafting GBD-Net for Object Detection," IEEE Trans. Pattern Anal. Mach. Intell. (PAMI), accepted, 2017. [Full Text] [Project page & code ] [ Source code ]

The first work modeling deformation in deep CNN, used for pedestrian detection:
Wanli Ouyang, Hui Zhou, Hongsheng Li, Quanquan Li, Junjie Yan, Xiaogang Wang, "Jointly learning deep features, deformable parts, occlusion and classification for pedestrian detection," IEEE Trans. Pattern Anal. Mach. Intell. (PAMI), 40(8):1874-1887, 2018. [Full Text] [Source code]

Extend our work on modeling deformation for generic object detection. This new deformation handling layer can be placed anywhere.
Wanli Ouyang, Xingyu Zeng, Xiaogang Wang, et al, "DeepID-Net: Object Detection with Deformable Part Based Convolutional Neural Networks," IEEE Trans. Pattern Anal. Mach. Intell. (PAMI), accepted, 2016. [Full Text] [Project]

A simple and effective multi-scale feature operation. Showing and solving the initialization problem in existing multi-branch networks, e.g. Inception V2-V5, Hourglass, ResNxt, etc.
Wei Yang, Shuang Li, Wanli Ouyang, Hongsheng Li, XiaogangWang. "Learning Feature Pyramids for Human Pose Estimation", Proc. ICCV, 2017. [Full Text] [Source code]

The first work on structured feature learning.
X. Chu, Wanli Ouyang , H. Li, and X. Wang. "Structured feature learning for pose estimation", In Proc. CVPR 2016. [Full Text] [Project and dataset ] [Spotlight talk] [Source code ] [Supplementary ]

The first Fully Convolutional Network for visual tracking.
Lijun Wang, Wanli Ouyang, Xiaogang Wang, and Huchuan Lu, "Visual Tracking with Fully Convolutional Networks", In Proc. ICCV 2015. [Full Text] [Project and source code ]

Videos for Recent Papers

Talk recorded videos for recent papers. [Youtube] [Bilibili]

Journal Papers

		Y. Tang, B. Li, M. Liu, B. Chen, Y. Wang, W. Ouyang., "AutoPedestrian: an Automatic Data Augmentation and Loss Function Search Scheme for Pedestrian Detection" IEEE Trans. Image Process. (TIP), accepted Jul., 2021.
		R. Su, D. Xu, L. Zhou, W. Ouyang. , "Improving weakly supervised temporal action localization by exploiting multi-resolution information in temporal domain" IEEE Trans. Image Process. (TIP), 30:6659-6672, 2021.
		Z. Yuan, X. Song, L. Bai, Z. Wang, W. Ouyang, "Temporal-Channel Transformer for 3D Lidar-Based Video Object Detection in Autonomous Driving" IEEE Trans. Circuits and System for Video Technology (CSVT), Accepted May, 2021 [full_text]
		L. Huang, Y. Huang, W. Ouyang, and L. Wang, "Modeling Sub-Actions for Weakly Supervised Temporal Action Localization" IEEE Trans. Image Process. (TIP), 2021
		L. Huang, Y. Huang, W. Ouyang, and L. Wang, "Two-Branch Relational Prototypical Network for Weakly Supervised Temporal Action Localization" IEEE Trans. Pattern Anal. Mach. Intell. (PAMI), Accepted, Apr, 2021
		J. Pang, K. Chen, Q. Li, Z. Xu, H. Feng, J. Shi, W. Ouyang, D. Lin, "Towards Balanced Learning for Instance Recognition" International Journal of Computer Vision (IJCV), Accepted, 2021 [full_text]
		W. Zhang, D. Xu, J. Zhang, W. Ouyang, "Progressive Modality Cooperation for Multi-Modality Domain Adaptation" IEEE Trans. Image Process. (TIP) , Accepted, 2021
		H. Zhang, J. Cao, G. Lu, W. Ouyang, Z. Sun, "Learning 3D Human Shape and Pose from Dense Body Parts" IEEE Trans. Pattern Anal. Mach. Intell. (PAMI), Accepted, Nov, 2020 [source_code]
		D. Xu, X. Alameda-Pineda, E. Ricci, W. Ouyang, X. Wang, N. Sebe, "Probabilistic Graph Attention Network with Conditional Kernels for Pixel-Wise Prediction" IEEE Trans. Pattern Anal. Mach. Intell. (PAMI), Accepted, Nov, 2020
		P. Zhang, J. Xue, P. Zhang, N. Zheng, and W. Ouyang, "Social-aware pedestrian trajectory prediction via states refinement LSTMectory Prediction" IEEE Trans. Pattern Anal. Mach. Intell. (PAMI), Accepted, Nov, 2020
		P. Zhang, J. Xue, P. Zhang, N. Zheng, W. Ouyang, "Social-aware pedestrian trajectory prediction via states refinement LSTM" IEEE Trans. Pattern Anal. Mach. Intell. (PAMI), Accepted, Nov, 2020
		Z. Chen, W. Ouyang, T. Liu, D. Tao, "A Shape Transformation-based Dataset Augmentation Framework for Pedestrian Detection" International Journal of Computer Vision (IJCV), Accepted, Nov, 2020
		Z. Zhang, D. Xu, W. Ouyang, L. Zhou, "Dense Video Captioning using Graph-based Sentence Summarization" IEEE Transactions on Multimedia (TMM), Accepted, Jun. 2020.
		Rui Su, Dong Xu, Luping Zhou, and Ouyang Wanli, "Progressive Cross-stream Cooperation in Spatial and Temporal Domain for Action Localization" IEEE Trans. Pattern Anal. Mach. Intell. (PAMI), Accepted, May, 2020
		Guo Lu, Xiaoyun Zhang, W. Ouyang, Li Chen, Zhiyong Gao, Dong Xu, "An End-to-End Learning Framework for Video Compression" IEEE Trans. Pattern Anal. Mach. Intell. (PAMI), Accepted, Apr, 2020
		J. Liu, S. Zhou, Y. Wu, K. Chen, W. Ouyang, D. Xu, "Block Proposal Neural Architecture Search" IEEE Trans. Image Process. (TIP) , Accepted, Jun, 2020
		Yiqing Huang, Jiansheng Chen, W. Ouyang, Weitao Wan, Youze Xue, "Image Captioning with End-to-end Attribute Detection and Subsequent Attributes Prediction" IEEE Trans. Image Process. (TIP) , Accepted, Jan, 2020
		D. Chen, S. Zhang, W. Ouyang, J. Yang, Y. Tai, "Person Search by Separated Modeling and A Mask-Guided Two-Stream CNN Model" Image Process. (TIP) , 29: 4669-4682, 2020
		Guo, Jinyang, Weichen Zhang, Wanli Ouyang, and Dong Xu, "Model Compression using Progressive Channel Pruning" IEEE Transactions on Circuits and Systems for Video Technology, Accepted, May 2020
		Weichen Zhang, Dong Xu, Wanli Ouyang, W. Li, "Self-Paced Collaborative and Adversarial Network for Unsupervised Domain Adaptation" IEEE Trans. Pattern Anal. Mach. Intell. (PAMI), Accepted, Sept. 2019 [source_code]
		Liu, Li, Wanli Ouyang, Xiaogang Wang, Paul Fieguth, Jie Chen, Xinwang Liu, and Matti Pietikäinen, "Deep learning for generic object detection: A survey" IJCV, Accepted, Sept. 2019 [full_text]
		Guo Lu, Xiaoyun Zhang, Wanli Ouyang, Dong Xu, Li Chen, and Zhiyong Gao, "Deep Non-local Kalman Network for Video Compression Artifact Reduction" TIP, Accepted, Sept. 2019 [full_text]
		Lingbo Liu, Zhilin Qiu, Guanbin Li, Qing Wang, Wanli Ouyang, Liang Lin, "Contextualized Spatial-Temporal Network for Taxi Origin-Destination Demand Prediction" IEEE Transactions on Intelligent Transportation Systems (TITS), Accepted Apr., 2019 [full_text][source_code]
		Hongyang Li, Yu Liu, Wanli Ouyang, Xiaogang Wang, "Zoom out-and-in network with map attention decision for region proposal and object detection" International Journal of Computer Vision, (IJCV), Accepted Jun., 2018 [full_text]
		Dan Xu, Elisa Ricci, Wanli Ouyang, Xiaogang Wang, Nicu Sebe, "Monocular Depth Estimation using Multi-Scale Continuous CRFs as Sequential Deep Networks" IEEE Trans. Pattern Anal. Mach. Intell. (PAMI), Accepted Apr., 2018 [full_text][source_code]
		Hui Zhou, Wanli Ouyang, Jian Cheng, Xiaogang Wang, and Hongsheng Li, "Deep Continuous Conditional Random Fields with Asymmetric Inter-object Constraints for Online Multi-object Tracking" IEEE Trans. Circuits and System for Video Technology (CSVT), Accepted Apr., 2018 [full_text]
		Wanli Ouyang, Hui Zhou, Hongsheng Li, Quanquan Li, Junjie Yan, Xiaogang Wang, "Jointly learning deep features, deformable parts, occlusion and classification for pedestrian detection" IEEE Trans. Pattern Anal. Mach. Intell. (PAMI), 40(8):1874-1887, 2018
		Xingyu Zeng (equal contribution), Wanli Ouyang (equal contribution), Junjie Yan, Hongsheng Li, Tong Xiao, Kun Wang, Yu Liu, Yucong Zhou, Bin Yang, Zhe Wang, Hui Zhou, Xiaogang Wang, "Crafting GBD-Net for Object Detection" IEEE Trans. Pattern Anal. Mach. Intell. (PAMI), Accepted, 2017 [full_text][source_code][video]
		K. Kang, H. Li, J. Yan, X. Zeng, B. Yang, T. Xiao, C. Zhang, Z. Wang, R. Wang, X. Wang, W. Ouyang, "T-CNN: Tubelets with Convolutional Neural Networks for Object Detection from Videos" IEEE Transactions on Circuits and Systems for Video Technology (CSVT), Accepted, 2017 [full_text][youtube][bilibili]
		Wanli Ouyang, Xingyu Zeng, Xiaogang Wang, et al, "DeepID-Net: Object Detection with Deformable Part Based Convolutional Neural Networks" IEEE Trans. Pattern Anal. Mach. Intell. (PAMI), Accepted, 2016 [full_text][source_code][video]
		Wanli Ouyang, Tianle Zhao, Wai-Kuen Cham, Liying Wei, "Fast Full-Search Equivalent Pattern Matching Using Asymmetric Haar Wavelet Packets" IEEE Trans. Circuits and System for Video Technology (CSVT), Accepted, 2016 [full_text][source_code]
		Wanli Ouyang, Xingyu Zeng and Xiaogang Wang, "Learning Mutual Visibility Relationship for Pedestrian Detection with a Deep Model" International Journal of Computer Vision (IJCV), Accepted, 2016 [full_text][source_code]
		Rui Zhao, Wanli Ouyang and Xiaogang Wang, "Person Re-identification by saliency Learning" IEEE Trans. Pattern Analysis and machine Intelligence(PAMI), Accepted, 2016 [full_text]
		Wanli Ouyang, Xingyu Zeng and Xiaogang Wang, "Partial Occlusion Handling in Pedestrian Detection with a Deep Model" IEEE Trans. Circuits and System for Video Technology (CSVT), Accepted, 2015 [full_text][source_code]
		Wanli Ouyang, Xingyu Zeng and Xiaogang Wang, "Single-Pedestrian Detection Aided by Two-Pedestrian Detection" IEEE Trans. Pattern Analysis and machine Intelligence(PAMI), 37(9), 1875-1889, 2015 [full_text][source_code]
		Wanli Ouyang, Renqi Zhang and Wai-Kuen Cham, "Segmented Gray-Code Kernels for Fast Pattern Matching" IEEE Trans. Image Processing(TIP), 22(4):1512-1525, Apr. 2013 [full_text][source_code]
		Wanli Ouyang, Federico Tombari, Stefano Mattoccia, Luigi Di Stefano and Wai-Kuen Cham, "Performance Evaluation of Full Search Equivalent Pattern Matching Algorithms" IEEE Trans. Pattern Analysis and machine Intelligence(PAMI), 34(1):127 - 143, Jan. 2012 [full_text][source_code]
		F. Tombari, Wanli Ouyang, L. Di Stefano, W.K. Cham, "Adaptive Low Resolution Pruning for Fast Full-Search Equivalent Pattern Matching" Pattern Recognition Letters (JPRL), 32(15), pp 2119-2127, November 2011 [full_text]
		Wanli Ouyang and Wai-Kuen Cham, "Fast algorithm for Walsh Hadamard transform on sliding windows" IEEE Trans. Pattern Analysis and machine Intelligence (PAMI), 32(1):165-171, Jan. 2010 [full_text]
		Y. Li, N. Xiao, W. Ouyang, "Improved Boundary Equilibrium Generative Adversarial Networks" IEEE Access, Accepted, Jan., 2018 [full_text]
		Y. Li, N. Xiao, W. Ouyang, "Improved Generative Adversarial Networks with Reconstruction Loss" Neurocomputing, Accepted, Oct., 2018 [full_text]
		L. Huang, Y. Huang, Wanli Ouyang, L. Wang, "Part-Aligned Pose-Guided Recurrent Network for Action Recognition" Pattern Recognition (PR), Accepted Mar., 2019 [full_text]
		Yukai Shi, Jinghui Qin, Pengxu Wei, Wanli Ouyang, Liang Lin, "Perceptual Image Enhancement by Relativistic Discriminant Learning With Cross-Scale Aggregated Representation" IEEE Access, Accepted Mar., 2019 [full_text]
		Zhiwang Zhang, Dong Xu, Wanli Ouyang, Chuanqi Tan, "Show, Tell and Summarize: Dense Video Captioning Using Visual Cue Aided Sentence Summarization" IEEE Trans. Circuits Syst. Video Technol. (CSVT), Accepted Aug., 2019 [full_text]
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Conference Papers

		ECCV 2022 S. Tang, F. Zhu, L. Bai, R. Zhao, C. Wang, W. Ouyang,, "Unifying Vision Unsupervised Contrastive Learning from a Graph Perspective", ECCV 2022 S. Tang, F. Zhu, L. Bai, R. Zhao, C. Wang, W. Ouyang,, "Relative Contrastive Loss for Unsupervised Representation Learning", ECCV 2022 B Chen, P Li, L Bai, L Qiao, Q Shen, B Li, W Gan, W. Wu, W. Ouyang, "Backbone is All Your Need: A Simplified Architecture for Visual Object Tracking", ECCV 2022 [full_text] Y. Ci, C. Lin, L. Bai, W. Ouyang, "Fast-MoCo: Boost Momentum-based Contrastive Learning with Combinatorial Patches", ECCV 2022 H. Yang, M. Chen, Y. Wang, S. Tang, F. Zhu, L. Bai, R. Zhao, W. Ouyang, "3D Interacting Hand Pose Estimation by Hand De-occlusion and Removal", ECCV 2022 S. Jin, L. XU, W. ZENG, W. Liu, C. Qian, W. Ouyang, P. Luo, X. Wang, "Pose for Everything: Towards Category-Agnostic Pose Estimation", ECCV 2022 B. Xia, W. Wu, H. Wang, R. SU, D. He, H. Yang, X. Fan, W. Ouyang, "NSNet: Non-saliency Suppression Sampler for Efficient Video Recognition", ECCV 2022
		ICLR 2022 Z. Chong, X. Ma, H. Zhang, Y. Yue, H. Li, Z. Wang, W. Ouyang, "MonoDistill: Learning Spatial Features for Monocular 3D Object Detection", Proc. ICLR, 2022 [full_text][source_code] C. Wang, S. Jin, Y. Guan, W. Liu, C. Qian, P. Luo, W. Ouyang, "Pseudo-Labeled Auto-Curriculum Learning for Semi-Supervised Keypoint Localization", Proc. ICLR, 2022 [full_text] Y. Li, F. Liang, L. Zhao, Y. Cui, W. Ouyang, J. Shao, F. Yu, J. Yan, "Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm", Proc. ICLR, 2022 [full_text][source_code]
		CVPR 2022 P. Ye, B. Li, Y. Li, T. Chen, J. Fan, W. Ouyang, "Beta-Decay Regularization for Differentiable Architecture Search", Proc. CVPR, 2022 (Oral) [full_text][source_code] Z. Wang, S. Tang, F. Zhu, L. Bai, R. Zhao, D. Qi, W. Ouyang, "Revisiting the Transferability of Supervised Pretraining: an MLP Perspective", Proc. CVPR, 2022 [full_text] Q. Shen, L. Qiao, J. Guo, P. Li, X. Li, B. Li, W. Feng, W. Gan, W. Wu, W. Ouyang, "Unsupervised Learning of Accurate Siamese Tracking", Proc. CVPR, 2022 (Oral) [full_text][source_code] L. Xu, W. Ouyang, M. Bennamoun, F. Boussaid, D. Xu, "Multi-class Token Transformer for Weakly Supervised Semantic Segmentation", Proc. CVPR, 2022 [full_text][source_code] T. Han, L. Bai, J. Gao, Q. Wang, W. Ouyang, "DR.VIC: Decomposition and Reasoning for Video Individual Counting", Proc. CVPR, 2022 [full_text][source_code] J. Wang, B. Wu, R. Su, M. Cao, S. Shi, W. Ouyang, Y. Yang, "Accelerating Neural Network Optimization Through an Automated Control Theory Lens", Proc. CVPR, 2022 [full_text] W. Zeng, S. Jin, W. Liu, C. Qian, P. Luo, W. Ouyang, X. Wang, "Not All Tokens Are Equal: Human-centric Visual Analysis via Token Clustering Transformer", Proc. CVPR, 2022 (Oral) [full_text][source_code]
		AAAI 2022 D. Zhou, X. Zhou, D. Hu, H. Zhou L. Bai Z. Liu, W. Ouyang, "SepFusion: Finding Optimal Fusion Structures for Visual Sound Separation", Proc. AAAI, 2022 [full_text] S. Wang, Z. Wang, H. Li, W. Ouyang, "Category-specific Nuance Exploration Network for Fine-grained Object Retrieval", Proc. AAAI, 2022
		NeurIPS 2021 K. Tian, C. Lin, S. Lim, W. Ouyang, P. K. Dokania, P. Torr, "A Continuous Mapping For Augmentation Design", NuerIPS. (Previously called NIPS), 2021 [full_text][source_code]
		ICCV 2021 Y. Ci, C. Lin, M. Sun, B. Chen, H. Zhang, W. Ouyang, "Evolving Search Space for Neural Architecture Search", Proc. ICCV 2021 [full_text] B. Chen, P. Li, B. Li, C. Lin, C. Li, M. Sun, J. Yan, W. Ouyang, "BN-NAS: Neural Architecture Search with Batch Normalization", Proc. ICCV 2021 [full_text] Y. Lu, X. Ma, L. Yang, T. Zhang, Y. Liu, Q. Chu, J. Yan, W. Ouyang, "Geometry Uncertainty Projection Network for Monocular 3D Object Detection", Proc. ICCV 2021 [full_text][source_code][youtube][bilibili] L. Xu, W. Ouyang, M. Bennamoun, F. Boussaid, F. Sohel, D. Xu, "Leveraging Auxiliary Tasks with Affinity Learning for Weakly Supervised Semantic Segmentation", Proc. ICCV 2021 [full_text] B. Chen, P. Li, C. Li, B. Li, L. Bai, C. Lin, M. Sun, J. yan, W. Ouyang, "GLiT: Neural Architecture Search for Global and Local Image Transformer", Proc. ICCV 2021 [full_text][youtube][bilibili] M. Shen, F. Liang, R. Gong, Y. Li, C. Li, C. Lin, F. Yu, J. Yan, W. Ouyang, "Towards High Performance Extremely Low-bit Neural Networks", Proc. ICCV 2021 S. Wu, S. Jin, W. Liu, L. Bai, C. Qian, D. Liu, W. Ouyang, "Graph-Based 3D Multi-Person Pose Estimation Using Multi-View Images", Proc. ICCV 2021 [full_text] S. Sun, X. Yue, X. Qi, W. Ouyang, V. Prisacariu, P. Torr, "Aggregation with Feature Detection", Proc. ICCV 2021 H. Zhang, Y. Tian, X. Zhou, W. Ouyang, Y. Liu, L. Wang, Z. Sun, "PyMAF: 3D Human Pose and Shape Regression with Pyramidal Mesh Alignment Feedback Loop", Proc. ICCV 2021. (Oral) [full_text][source_code]
		ICML 2021 M. Sun, H. Dou, B. Li, L. Cui, J. Yan, W. Ouyang, "AutoSampling: Search for Effective Data Sampling Schedules", Proc. ICML 2021 [full_text]
		AAAI 2021 S. Tang, P. Su, D. Chen, W. Ouyang, "Gradient Regularized Contrastive Learning for Continual Domain Adaptation", Proc. AAAI, 2021 [full_text] S. Wang, H. Li, Z. Wang, W. Ouyang, "Dynamic Position-aware Network for Fine-grained Image Recognition", Proc. AAAI, 2021 [full_text]
		CVPR 2021 S. Tang, D. Chen, L. Bai, K. Liu, Y. Ge, W. Ouyang, "Mutual CRF-GNN Network for Few-shot Learning", Proc. CVPR 2021 [full_text] S. Tang, D. Chen. J. Zhu, S. Yu, W. Ouyang, "Layerwise Optimization by Gradient Decomposition for Continual Learning", Proc. CVPR 2021 [full_text] L. XU, Y. Guan, S. Jin, W. Liu, C. Qian, P. Luo, W. Ouyang, X.Wang, "ViPNAS: E cient Video Pose Estimation via Neural Architecture Search", Proc. CVPR 2021 [source_code] X. Ma, Y. Zhang, D. Xu, D. Zhou, S. Yi, H. Li, W. Ouyang, "Delving into Localization Errors for Monocular 3D Object Detection", Proc. CVPR 2021 [full_text][source_code][video] J. Liu, C. Li, F. Liang, C. Lin, M. Sun, J. Yan, W. Ouyang, D. Xu, "Inception Convolution with E cient Dilation Search", Proc. CVPR 2021. (Oral) [full_text][source_code]
		NeurIPS 2020 K. Tian, C. Lin, M. Sun, L. Zhou, J. Yan, W. Ouyang, "Improving Auto-Augment via Augmentation-Wise Weight Sharing", NuerIPS. (Previously called NIPS), 2020 [full_text][source_code]
		ACM Multimedia 2020 Shijie Wang, Zhihui wang, Haojie Li, Wanli Ouyang, "Category-specific Semantic Coherency Learning for Fine-grained Image Recognition", Proc. ACM Multimedia 2020
		ECCV 2020 Guo Lu, Chunlei Cai, Xiaoyun Zhang, Li Chen, Wanli Ouyang, Dong Xu, Zhiyong Gao, "Content Adaptive and Error Propagation Aware Deep Video Compression", Proc. ECCV, 2020 (Oral). [full_text] Zhihao Hu, Zhenghao Chen, Dong Xu, Guo Lu, Wanli Ouyang, Shuhang Gu, "Improving Deep Video Compression by Resolution-adaptive Flow Coding", Proc. ECCV, 2020 (Oral). [full_text] Dongzhan Zhou, Xinchi Zhou, Hongwen Zhang, Shuai Yi, Wanli Ouyang, "Cheaper Pre-training Lunch: An Efficient Paradigm for Object Detection", Proc. ECCV, 2020 [full_text] Xinzhu Ma, Shinan Liu, Zhiyi Xia, Hongwen Zhang, Xingyu Zeng,Wanli Ouyang, "Rethinking Pseudo-LiDAR Representation", Proc. ECCV, 2020 [full_text] Sheng Jin, Wentao Liu, Enze Xie, Wenhai Wang, Chen Qian, Wanli Ouyang, Ping Luo, "Differentiable Hierarchical Graph Grouping for Multi-Person Pose Estimation", Proc. ECCV, 2020 [full_text] Sheng Jin, Lumin Xu, Jin Xu, Can Wang, Wentao Liu, Chen Qian, Wanli Ouyang, Ping Luo, "Whole-Body Human Pose Estimation in the Wild", Proc. ECCV, 2020 [full_text][source_code]
		ICLR 2020 Liang F, Lin C, Guo R, Sun M, Wu W, Yan J, Ouyang W., "Computation Reallocation for Object Detection", In Proc. ICLR, 2020. [full_text]
		CVPR 2020 Dongzhan Zhou, Xinchi Zhou, Wenwei Zhang, Chen Change Loy, Shuai Yi, Xuesen Zhang, Wanli Ouyang, "EcoNAS: Finding Proxies for Economical Neural Architecture Search", Proc. CVPR, 2020 [full_text] Ziyu Liu, Hongwen Zhang, Zhenghao Chen, Zhiyong Wang, W. Ouyang, "Unifying Spatial-Temporal Graph Convolutions with Disentangled Multi-Scale Aggregators for Skeleton-Based Action Recognition", CVPR, 2020, Accepted (Oral) [full_text][source_code][video] Jinyang Guo, W. Ouyang, Dong Xu, "Multi-Dimensional Pruning: A Unified Framework for Model Compression", CVPR, 2020, Accepted (Oral) [full_text][video] Xiang Li, Chen Lin, Chuming Li, Ming SUn, Wei Wu, Junjie Yan, W. Ouyang, "Improving One-shot NAS by Suppressing the Posterior Fading", CVPR, 2020, Accepted [full_text][video] Jingru Tan, Changbao Wang, Buyu Li, Quanquan Li, W. Ouyang, Changqing Yin, Junjie Yan, "Equalization Loss for Long-Tailed Object Recognition", CVPR, 2020, Accepted [full_text][source_code] Wang Zeng, Wei Yang, W. Ouyang, Ping Luo, Wentao Liu, Xiaogang Wang, "3D Human Mesh Regression with Dense Correspondence", CVPR, 2020, Accepted [full_text][source_code]
		AAAI 2020 Jinyang Guo, Wanli Ouyang, Dong Xu, "Channel Pruning Guided by Classification Loss and Feature Importance", Proc. AAAI, 2020 [full_text] Linjiang Huang, Yan Huang, Wanli Ouyang, Liang Wang, "Relational Prototypical Network for Weakly Supervised Temporal Action Localization", Proc. AAAI, 2020, (Oral) Linjiang Huang, Yan Huang, Wanli Ouyang, Liang Wang, "Part-Level Graph Convolutional Network for Skeleton-Based Action Recognition", Proc. AAAI, 2020, (Oral) [full_text] Di Chen, Shanshan Zhang, Wanli Ouyang, Jian Yang, Bernt Schiele, "Hierarchical Online Instance Matching for Person Search", Proc. AAAI, 2020, Accepted (Oral) [full_text][source_code] Qi Chu, Wanli Ouyang, Bin Liu, Feng Zhu, Nenghai Yu, "DASOT: A Unified Framework Integrating Data Association and Single Object Tracking for Online Multi-Object Tracking", Proc. AAAI, 2020, Accepted [full_text]
		ICCV 2019 Peixia Li, Boyu Chen, W. Ouyang, Dong Wang, Xiaoyun Yang, Huchuan Lu, "GradNet: Gradient-Guided Network for Visual Object Tracking", Proc. ICCV, 2019. (Oral) [full_text] Haodong Duan, Kwan-Yee Lin, Sheng Jin, Wentao Liu, Chen Qian, W. Ouyang, "TRB: A Novel Triplet Representation for Understanding 2D Human Body", Proc. ICCV, 2019. (Oral) [full_text] Lingbo Liu, Zhilin Qiu , Guanbin Li, Shufan Liu, W. Ouyang, Liang Lin, "Crowd Counting with Deep Structured Scale Integration Network", Proc. ICCV, 2019 [full_text][source_code] Lu Sheng, Dan Xu, W. Ouyang, Xiaogang Wang, "Unsupervised Collaborative Learning of Keyframe Detection and Visual Odometry towards Monocular Deep SLAM", Proc. ICCV, 2019 [full_text] Chen Lin, Minghao Guo, Chuming Li, Xin Yuan, Wei Wu, Junjie Yan, Dahua Lin, W. Ouyang, "Online Hyper-parameter Learning for Auto-Augmentation Strategy", Proc. ICCV, 2019 [full_text] Xinzhu Ma, Zhihui Wang, Haojie Li, Pengbo Zhang, W. Ouyang, Xin Fan, "Accurate Monocular Object Detection via Color-Embedded 3D Reconstruction for Autonomous Driving", Proc. ICCV, 2019 [full_text] Yunan Li, Qiguang Miao, W. Ouyang, Zhenxin Ma, Huijuan Fang, Chao Dong, Yining Quan, "LAP-Net: Level-Aware Progressive Network for Image Dehazing", Proc. ICCV, 2019 [full_text][source_code] Chuming Li, Xin Yuan, Chen Lin, Minghao Guo, Wei Wu, Junjie Yan, W. Ouyang, "AM-LFS: AutoML for Loss Function Search", Proc. ICCV, 2019 [full_text] Yingyue Xu, Dan Xu, Xiaopeng Hong, W. Ouyang, Rongrong Ji, Min Xu, Guoying Zhao, "Structured Modeling of Joint Deep Feature and Prediction Refinement for Salient Object Detection", Proc. ICCV, 2019 [full_text]
		ACM Multimedia 2019 H. Zhang, Jie Cao, Guo Lu, W. Ouyang, Zhenan Sun, "DaNet: Decomposeand-aggregate Network for 3D Human Shape and Pose Estimation", Proc. ACM Multimedia, 2019 [full_text] Z. Yao, B. Zhang, Z. Wang W. Ouyang, D. Xu, D. Feng, "IntersectGAN: Learning Domain Intersection for Generating Images with Multiple Attributes", Proc. ACM Multimedia, 2019 [full_text]
		CVPR 2019 Guo Lu, Wanli Ouyang, Dong Xu, Chunlei Cai, Xiaoyun Zhang, Zhiyong Gao, "DVC: An End-to-end Deep Video Compression Framework", Proc. CVPR, 2019, Accepted. (Oral) [full_text][source_code][youtube][bilibili] Kai Chen, Jiangmiao Pang, Jiaqi Wang, Yu Xiong, Xiaoxiao Li, Shuyang Sun, Wansen Feng, Ziwei Liu, Jianping Shi, Wanli Ouyang,Chen Change Loy, Dahua Lin, "Hybrid Task Cascade for Instance Segmentation", Proc. CVPR, 2019, Accepted [full_text] Buyu Li, Wanli Ouyang, Lu Sheng, et. al., "GS3D: An Efficient 3D Object Detection Framework for Autonomous Driving", Proc. CVPR, 2019, Accepted [full_text] Jiangmiao Pang, Kai. Chen, Jianping Shi, Wanli Ouyang, et. al., "Libra R-CNN: Balanced Learning for Object Detection", Proc. CVPR, 2019, Accepted [full_text] Chunfeng Song, Yan Huang, Wanli Ouyang, Liang Wang, "Box-driven Class-wise Region Masking and Filling Rate Guided Loss for Weakly Supervised Semantic Segmentation", Proc. CVPR, 2019, Accepted [full_text] Sheng Jin, Wentao Liu, Wanli Ouyang, Chen Qian, "Multi-person Articulated Tracking with Spatial and Temporal Embeddings", Proc. CVPR, 2019, Accepted [full_text] Rui Su, Wanli Ouyang, Luping Zhou, Dong Xu, "Improving Action Localization by Progressive Cross-stream Cooperation", Proc. CVPR, 2019, Accepted [full_text] Pu Zhang, Wanli Ouyang, Pengfei Zhang, Jianru Xue, Nanning Zheng, "SR-LSTM: State Refinement for LSTM towards Pedestrian Trajectory Prediction", Proc. CVPR, 2019, Accepted [full_text][source_code]
		ICLR 2019 Li, Hongyang, Bo Dai, Shaoshuai Shi, Wanli Ouyang, and Xiaogang Wang, "Feature Intertwiner for Object Detection", ICLR, 2019 [full_text][source_code][project_page]
		NIPS 2018 Shuyang Sun, Jiangmiao Pang, Jianping Shi, Shuai Yi, Wanli Ouyang, "FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction", NuerIPS. (Previously called NIPS), 2018 [full_text][source_code][youtube][bilibili]
		ECCV 2018 Hongyang Li, Bo Dai, Wanli Ouyang, Xiaoyang Guo, Xiaogang Wang, "Neural Network Encapsulation", Proc. ECCV, 2018 [full_text] Yi Wei, Xinyu Pan, Hongwei Qin, Junjie Yan, Wanli Ouyang, "Quantization Mimic: Towards Very Tiny CNN for Object Detection", Proc. ECCV, 2018 [full_text] Yikang Li, Wanli Ouyang, Bolei Zhou, Yanwen Cui, Jianping Shi, Chao Zhang, Xiaogang Wang, "Factorizable Net: An Efficient Subgraph-based Framework for Scene Graph Generation", Proc. ECCV, 2018 [full_text][source_code] Guo Lu, Wanli Ouyang, Dong Xu, Xiaoyun Zhang, Zhiyong Gao, Ming-Ting Sun, "Deep Kalman Filtering Network for Video Compression Artifact Reduction", Proc. ECCV, 2018 [full_text] Dongang Wang, Wanli Ouyang, Wen Li, Dong Xu, "Dividing and Aggregating Network for Multi-view Action Recognition", Proc. ECCV, 2018 [full_text] Di Chen, Shanshan Zhang, Wanli Ouyang, Jian Yang, Ying Tai, "Person Search via A Mask-guided Two-stream CNN Model", Proc. ECCV, 2018 [full_text]
		CVPR 2018 Xuanyi Dong, Yan Yan, Wanli Ouyang , Yi Yang, "Style Aggregated Network for Facial Landmark Detection", Proc. CVPR, 2018 [full_text] Yikang Li, Nan Duan, Bolei Zhou, Xiao Chu, Wanli Ouyang, Xiaogang Wang, "Visual Question Generation as Dual Task of Visual Question Answering", Proc. CVPR, 2018 (spotlight) [full_text][source_code] Jing Xu, Rui Zhao, Feng Zhu, Huaming Wang, Wanli Ouyang, "Attention-aware Compositional Network for Person Re-Identification", Proc. CVPR, 2018 [full_text] Yu Wu, Yutian Lin, Xuanyi Dong, Yan Yan, Wanli Ouyang, Yi Yang, "Exploit the Unknown Gradually: One-Shot Video-Based Person Re-Identification by Stepwise Learning", Proc. CVPR, 2018 [full_text] Wei Yang, Wanli Ouyang, Xiaolong Wang, Xiaogang Wang, "3D Human Pose Estimation in the Wild by Adversarial Learning", Proc. CVPR, 2018 [full_text][project_page] Weichen Zhang, Wanli Ouyang, Dong Xu, Wen Li, "Collaborative and Adversarial Network for Unsupervised domain adaptation", Proc. CVPR, 2018 (spotlight) [full_text][source_code] Shuyang Sun, Zhanghui Kuang, Lu Sheng, Wanli Ouyang, Wei Zhang, "Optical Flow Guided Feature: A Motion Representation for Video Action Recognition", Proc. CVPR, 2018 [full_text][source_code] Dan Xu, Wanli Ouyang, Xiaogang Wang, Nicu Sebe, "PAD-Net: Multi-Tasks Guided Prediciton-and-Distillation Network for Simultaneous Depth Estimation and Scene Parsing", Proc. CVPR, 2018 [full_text] Chunfeng Song, Yan Huang, Liang Wang, Wanli Ouyang, "Mask-guided Contrastive Attention Model for Person Re-Identification", Proc. CVPR, 2018 [full_text][source_code]
		IJCAI 2018 Lingbo Liu, HongjunWang, Guanbin Li, Wanli Ouyang, Liang Lin, "Crowd Counting using Deep Recurrent Spatial-Aware Network", Proc. IJCAI, 2018 [full_text]
		ICCV 2017 Wanli Ouyang, Kun Wang, Xin Zhu, Xiaogang Wang, "Chained Cascade Network for Object Detection", Proc. ICCV, 2017 [full_text][source_code] Wei Yang, Shuang Li, Wanli Ouyang, Hongsheng Li, XiaogangWang, "Learning Feature Pyramids for Human Pose Estimation", Proc. ICCV, 2017 [full_text][source_code] Yikang Li, Wanli Ouyang, Bolei Zhou, Kun Wang, Xiaogang Wang, "Scene Graph Generation from Objects, Phrases and Region Captions", Proc. ICCV, 2017 [full_text][source_code] Qi Chu, Wanli Ouyang, Hongsheng Li, Xiaogang Wang, Bin Liu, Nenghai Yu, "Online Multi-Object Tracking Using CNN-based Single Object Tracker with Spatial-Temporal Attention Mechanism", Proc. ICCV, 2017 [full_text]
		NIPS 2017 Dan Xu, Wanli Ouyang, Xavier Alameda-Pineda, Elisa Ricci, Xiaogang Wang, Nicu Sebe, "Learning Deep Structured Multi-Scale Features using Attention-Gated CRFs for Contour Prediction", Proc. NIPS, 2017 [full_text]
		CVPR 2017 Kai Kang, Hongsheng Li, W. Ouyang , Junjie Yan, Xihui Liu, Tong Xiao, Xiaogang Wang, "Object Detection in Vidoes with Tubelet Proposal Networks", Proc. CVPR , 2017 [full_text] Feng Zhu, Hongsheng Li, W. Ouyang , Nenghai Yu, Xiaogang Wang, "Learning Spatial Regularization with Image-level Supervisions for Multi-label Image Classification", Proc. CVPR , 2017 [full_text] Yu Liu, Junjie Yan, W. Ouyang, "Quality Aware Network for Set to Set Recognition", Proc. CVPR , 2017 [full_text] Yikang LI , W. Ouyang , Xiaogang Wang, "ViP-CNN: A Visual Phrase Reasoning Convolutional Neural Network for Visual Relationship Detection", Proc. CVPR , 2017 [full_text] Xiao Chu, Wei Yang, W. Ouyang , Xiaogang Wang, Alan Yuille, "Multi-Context Attention for Human Pose Estimation", Proc. CVPR , 2017 [full_text][source_code] Dan Xu, Elisa Ricci, W. Ouyang , Xiaogang Wang, Nicu Sebe, "Multi-Scale Continuous CRFs as Sequential Deep Networks for Monocular Depth Estimation", Proc. CVPR , 2017 [full_text][source_code][project_page] Dan Xu, W. Ouyang , Elisa Ricci, Xiaogang Wang, Nicu Sebe, "Learning Cross-Modal Deep Representations for Robust Pedestrian Detection", Proc. CVPR , 2017 [full_text]
		NIPS 2016 X. Chu, W. Ouyang , H. Li, X. Wang, "CRF-CNN: Modeling Structured Information in Human Pose Estimation", Advances In Neural Information Processing Systems (NIPS), 2016 [full_text][source_code]
		ECCV 2016 Xingyu Zeng, Wanli Ouyang, Bin Yang, Junjie Yan, Xiaogang, "Gated Bidirectional CNN for Object Detection", In Proc. ECCV 2016 [full_text][youtube][bilibili] Z. Wang, H. Li, W. Ouyang , X. Wang Wanli, "Learnable Histogram: Statistical Context Features for Deep Neural Networks", In Proc. ECCV 2016 [full_text]
		CVPR 2016 Wanli Ouyang, X. Wang, C. Zhang, and X. Yang, "Factors in finetuning deep model for object detection with long-tail distribution", In Proc. CVPR 2016 [full_text] Wei Yang, Wanli Ouyang, Hongsheng Li and Xiaogang Wang, "End-to-End Learning of Deformable Mixture of Parts and Deep Convolutional Neural Networks for Human Pose Estimation", In Proc. CVPR 2016 (Oral) [full_text][source_code][project_page] Lijun Wang, Wanli Ouyang, Wanli Ouyang, Xiaogang Wang, and Huchuan Lu, "STCT: Sequentially Training Convolutional Networks for Visual Tracking", In Proc. CVPR 2016 [full_text] K. Kang, Wanli Ouyang, H. Li, and X. Wang, "Object detection from video tubelets with convolutional neural networks", In Proc. CVPR 2016 [full_text] X. Chu, Wanli Ouyang , H. Li, and X. Wang, "Structured feature learning for pose estimation", In Proc. CVPR 2016 [full_text][project_page][source_code] Tong Xiao, Hongsheng Li, Wanli Ouyang, Xiaogang Wang, "Learning Deep Feature Representations with Domain Guided Dropout for Person Re-identification", In Proc. CVPR 2016 [full_text]
		ICML 2016 Hongyang Li, Wanli Ouyang, Xiaogang Wang, "Multiple Bias on Non-linearity Activation in Deep Neural Networks", In Proc. ICML 2016 [full_text][source_code]
		ICCV 2015 Wanli Ouyang, Hongyang Li, Xingyu Zeng, and Xiaogang Wang, "Learning Deep Representation with Large-scale Attributes", In Proc. ICCV 2015 [full_text][project_page] Xiao Chu, Wanli Ouyang, Wei Yang, and Xiaogang Wang, "Multi-task Recurrent Neural Network for Immediacy Prediction", In Proc. ICCV 2015. (Oral) [full_text][project_page] Lijun Wang, Wanli Ouyang, Xiaogang Wang, and Huchuan Lu, "Visual Tracking with Fully Convolutional Networks", In Proc. ICCV 2015 [full_text][project_page]
		CVPR 2015 Wanli Ouyang, Xiaogang Wang, Xingyu Zeng, Shi Qiu, Ping Luo, Yonglong Tian, Hongsheng Li, Shuo Yang, Zhe Wang, Chen-Change Loy and Xiaoou Tang, "DeepID-Net: Deformable Deep Convolutional Neural Networks for Object Detection", In Proc. CVPR 2015 [full_text][project_page][youtube][bilibili] Rui Zhao, Wanli Ouyang, Hongsheng Li, and Xiaogang Wang, "Saliency Detection by Multi-context Deep Learning", In Proc. CVPR 2015 [full_text][source_code]
		ECCV 2014 Xinyu Zeng, Wanli Ouyang, Xiaogang Wang, "Deep Learning of Scene-Specific Classifier for Pedestrian Detection", In Proc. ECCV 2014 [full_text]
		CVPR 2014 Wanli Ouyang, Xiao Chu, Xiaogang Wang, "Multi-source Deep Learning for Human Pose Estimation", In Proc. IEEE CVPR 2014 [full_text][video] Rui Zhao, Wanli Ouyang, and Xiaogang Wang, "Learning Mid-level Filters for Person Re-Identfiation", In Proc. IEEE CVPR 2014 [full_text][source_code][project_page]
		ICCV 2013 Wanli Ouyang, Xiaogang Wang, "Joint Deep Learning for Pedestrian Detection", In Proc. IEEE ICCV 2013 [full_text][project_page][video] Xingyu Zeng, Wanli Ouyang, Xiaogang Wang, "Multi-Stage Contextual Deep Learning for Pedestrian Detection", In Proc. IEEE ICCV 2013 [full_text] Rui Zhao, Wanli Ouyang, Xiaogang Wang, "Person Re-identification by Salience Matching", In Proc. IEEE ICCV 2013 [full_text]
		CVPR 2013 Wanli Ouyang, Xiaogang Wang, "Single-Pedestrian Detection aided by Multi-pedestrian Detection", In Proc. IEEE CVPR 2013 [full_text][project_page][video] Wanli Ouyang, Xingyu Zeng and Xiaogang Wang, "Modeling Mutual Visibility Relationship in Pedestrian Detection", In Proc. IEEE CVPR 2013 [full_text][project_page] Rui Zhao Wanli Ouyang, and Xiaogang Wang, "Unsupervised Salience Learning for Person Re-identification", In Proc. IEEE CVPR 2013 [full_text][project_page]
		CVPR 2012 Wanli Ouyang and Xiaogang Wang, "A Discriminative Deep Model for Pedestrian Detection with Occlusion Handling", In Proc. IEEE CVPR 2012 [full_text][project_page][video]
		CVPR 2010 Wanli Ouyang, Renqi Zhang and Wai-Kuen Cham, "Fast pattern matching using orthogonal Haar transform", In Proc. IEEE CVPR 2010 [full_text][project_page]
		ICASSP 2009 Renqi Zhang, Wanli Ouyang and Wai-Kuen Cham, "Image Deblocking using Dual Adaptive FIR Wiener Filter in the DCT Transform Domain", In Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing, ICASSP 2009, Taiwan, April 19-24, 2009, pp.1181-1184
		ICIP 2009 Renqi Zhang, Wanli Ouyang and Wai-Kuen Cham, "Image Multi-scale Edge Detection using 3-D Hidden Markov Model based on the Non-decimated Wavelet", In Proc. 2009 IEEE International Conference on Image Processing (ICIP), Cairo, Egypt, November 7-10, 2009, pp.2173-2176
		MWCAS 2005 Wanli Ouyang, D. Song, C. Xiao, and W. Ju, "The matrix decomposition representation of DCT algorithms", In IEEE midwest sym. Circuits and Syst. (MWCAS), 2005 Wanli Ouyang, C. Xiao, W. Ju, and D. Song, "The dynamic range acquisition of DCT and IDCT algorithms", In IEEE midwest sym. Circuits and Syst. (MWCAS), 2005
		ISP 2005 Wanli Ouyang, C. Xiao, W. Ju, and D. Song, "Practical fast asymmetric DCT algorithm based on SIMD and VLIW", In IEEE Int. Sym. Intelligent Signal Processing , 2005
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