Mr. Shuo Yang is currently a senior applied scientist at AWS-AI Computer Vision. He received his Ph.D. from the department of information engineering, CUHK in July 2017. He is supervised by Prof. Xiaoou Tang and Prof. Chen Change Loy. His research interests include face/object detection and object recognition. Shuo graduated from School of Software, Wuhan University with a B.Eng. in 2013. Then he came to CUHK to continue his study.
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Compatibility-aware Heterogeneous Visual Search
Rahul Duggal, Hao Zhou, Shuo Yang, Yuanjun Xiong, Wei Xia, Zhuowen Tu, Stefano Soatto IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021. [PDF] |
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Positive-Congruent Training: Towards Regression-Free Model Updates
Sijie Yan, Yuanjun Xiong, Kaustav Kundu, Shuo Yang, Siqi Deng, Meng Wang, Wei Xia, Stefano Soatto IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021. [PDF] |
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SMOT: Single-Shot Multi Object Tracking
Wei Li, Yuanjun Xiong, Shuo Yang, Siqi Deng, Wei Xia arXiv preprint arXiv:2010.16031, 2020. [PDF] |
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Sensing, Understanding and Synthesizing Humans
Ziwei Liu, Sifei Liu, Xiaolong Wang, Hang Zhou, Chen Change Loy, Shuo Yang, Yuanjun Xiong, Wei Xia ECCV, 2020. [Project Page] |
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WIDER CHALLENGE 2019
Chen Change Loy, Dahua Lin, Wanli Ouyang, Hongsheng Li, Yuanjun Xiong, Shuo Yang, Qingqiu Huang, Yantao Shen, Dongzhan Zhou, Wei Xia IEEE International Conference on Computer Vision (ICCV), 2019. [Project Page] |
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FAB: A Robust Facial Landmark Detection Framework
for Motion-Blurred Videos
Keqiang Sun, Wenyan Wu, Tinghao Liu, Shuo Yang, Quan Wang, Qiang Zhou, Zuochang Ye, Chen Qian IEEE International Conference on Computer Vision (ICCV), 2019 [PDF] [Github] |
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Region Proposal by Guided Anchoring
Jiaqi Wang, Kai Chen, Shuo Yang, Chen Change Loy, Dahua Lin IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019. [PDF] [Github] |
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WIDER CHALLENGE 2018
Chen Change Loy, Dahua Lin, Wanli Ouyang, Yuanjun Xiong, Shuo Yang, Qingqiu Huang, Dongzhan Zhou, Wei Xia European Conference on Computer Vision (ECCV) Workshop, 2018. [Project Page] |
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Optimizing Video Object Detection via a Scale-Time Lattice
Kai Chen, Jiaqi Wang, Shuo Yang, Xingcheng Zhang, Yuanjun Xiong, Chen Change Loy, Dahua Lin IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. [PDF] [Project Page] |
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Look at Boundary: A Boundary-Aware Face Alignment Algorithm
Wayne Wu, Chen Qian, Shuo Yang, Quan Wang, Yici Cai, Qiang Zhou IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. [PDF] [Project Page] |
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Face Detection through Scale-Friendly Deep Convolutional Networks
Shuo Yang, Yuanjun Xiong, Chen Change Loy, Xiaoou Tang arXiv preprint arXiv:1706.02863, 2017. [PDF] [Project Page] |
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Residual Attention Network for Image Classification
Fei Wang, Mengqing Jiang, Chen Qian, Shuo Yang, Cheng Li, Honggang Zhang, Xiaogang Wang, Xiaoou Tang IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. (Spotlight) [PDF] [Project Page] [Code and Model] |
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Faceness-Net: Face Detection through Deep Facial Part Responses
Shuo Yang, Ping Luo, Chen Change Loy, Xiaoou Tang. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2017. [PDF] [Project Page] |
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DeepID-Net: Deformable Deep Convolutional Neural Networks for Object Detection
W. Ouyang, X. Zeng, X. Wang, S. Qiu, P. Luo, Y. Tian, H. Li, S. Yang, Z. Wang, H. Li, C. C. Loy, K. Wang, J. Yan, X. Tang. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2016. [PDF] [Project Page] |
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WIDER FACE: A Face Detection Benchmark
Shuo Yang, Ping Luo, Chen Change Loy, Xiaoou Tang. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. (Oral) [PDF] [Project Page] |
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From Facial Parts Responses to Face Detection: A Deep Learning Approach
Shuo Yang, Ping Luo, Chen Change Loy, Xiaoou Tang. IEEE International Conference on Computer Vision (ICCV), 2015. [PDF] [Project Page] [Code and Model] |
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Deep Representation Learning with Target Coding
Shuo Yang, Ping Luo, Chen Change Loy, Kenneth W. Shum, Xiaoou Tang. AAAI Conference on Artificial Intelligence (AAAI), 2015.(Oral, nominated as easily accessible paper, Invited talk in ICRA 2015) [PDF] [Project Page] [Code and Model] |
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DeepID-Net: Deformable Deep Convolutional Neural Networks for Object Detection
W. Ouyang, X. Wang, X. Zeng, S. Qiu, P. Luo, Y. Tian, H. Li, S. Yang, Z. Wang, C. C. Loy, and X. Tang. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015. [PDF] [Project Page] |