CV

Education

• Ph.D in Electronic Engineering, Tsinghua University, 2013
• B.S. in Advanced Class, Department of Electronic Information and Communication, Huazhong University of Science and Technology, 2008

Work experience

• 2016.9- : Director of Industry Vision Intelligence Team
  • DAMO Academy, Alibaba Group
  • Anomaly detection / Defect Inspection / Human Analysis / Face Recognition
• 2013.7-2016.9: Project Leader of Facial Analysis
  • SAIT China Lab, Samsung Electronics
  • Face Detection / Landmark Localization / Liveness Detection / Face Recognition

Publications

Illumination normalization based on Weber law with application to face recognition

Biao Wang, Weifeng Li, Wenming Yang, Qingmin Liao. "Illumination normalization based on Weber law with application to face recognition. " IEEE Signal Processing Letters, 2011.

Super-resolution for face image by bilateral patches

Fei Zhou, Biao Wang, Qingmin Liao. "Super-resolution for face image by bilateral patches. " Electronics Letters, 2012.

Two-Stage Block-Based Whitened Principal Component Analysis with Application to Single Sample Face Recognition

Biao Wang, Wenming Yang, Weifeng Li, Qingmin Liao. "Two-Stage Block-Based Whitened Principal Component Analysis with Application to Single Sample Face Recognition. " IEICE Transactions on Information and Systems , 2012.

Face recognition based on nonsubsampled contourlet transform and block-based kernel fisher linear discriminant

Biao Wang, Weifeng Li, Qingmin Liao. "Face recognition based on nonsubsampled contourlet transform and block-based kernel fisher linear discriminant. " ICASSP, 2012.

Patterns of weber magnitude and orientation for face recognition

Biao Wang, Weifeng Li, Zhimin Li, Qingmin Liao. "Patterns of weber magnitude and orientation for face recognition. " ICIP, 2012.

Super-resolution for human faces based on sequential images and learnt prior

Fei Zhou, Biao Wang, Wenming Yang, Qingmin Liao. "Super-resolution for human faces based on sequential images and learnt prior. " CISP, 2012.

Combining specific learning and generic learning for single-sample face recognition

Biao Wang, Fei Zhou, Weifeng Li, Zhimin Li, Qingmin Liao. "Combining specific learning and generic learning for single-sample face recognition. " CISP, 2012.

Adaptive linear regression for single-sample face recognition

Biao Wang, Weifeng Li, Zhimin Li, Qingmin Liao. "Adaptive linear regression for single-sample face recognition. " Neurocomputing, 2013.

Spatially Adaptive Logarithmic Total Variation Model for Varying Light Face Recognition

Biao Wang, Weifeng Li, Zhimin Li, Qingmin Liao. "Spatially Adaptive Logarithmic Total Variation Model for Varying Light Face Recognition. " IEICE Transactions on Information and Systems , 2013.

Kernel collaborative representation-based classifier for face recognition

Biao Wang, Weifeng Li, Norman Poh, Qingmin Liao. "Kernel collaborative representation-based classifier for face recognition. " ICASSP, 2013.

Illumination variation dictionary designing for single-sample face recognition via sparse representation

Biao Wang, Weifeng Li, Qingmin Liao. "Illumination variation dictionary designing for single-sample face recognition via sparse representation. " Advances in multimedia modeling, 2013.

Super-resolution for facial image using multilateral affinity function

Fei Zhou, Biao Wang, Qingmin Liao. "Super-resolution for facial image using multilateral affinity function. " Neurocomputing, 2014.

Patterns of Weber magnitude and orientation for uncontrolled face representation and recognition

Yinyan Jiang, Biao Wang, Yicong Zhou, Weifeng Li, Qingmin Liao. "Patterns of Weber magnitude and orientation for uncontrolled face representation and recognition. " Neurocomputing, 2015.

Robust pose normalization for face recognition under varying views

Biao Wang, Xuetao Feng, Lujin Gong, Hao Feng, Wonjun Hwang, Jae-Joon Han. "Robust pose normalization for face recognition under varying views. " ICIP, 2015.

A fast multi-view face detector for mobile phone

Hao Feng, Biao Wang, Chao Zhang, Bing Yu, Wonjun Hwang, Jae-Joon Han, Changkyu Choi, Haitao Wang. "A fast multi-view face detector for mobile phone. " ICIP, 2016.

Adversarial Pose Regression Network for Pose-Invariant Face Recognitions

Pengyu Li, Biao Wang, Lei Zhang. "Adversarial Pose Regression Network for Pose-Invariant Face Recognitions. " AAAI, 2021.

Deep Metric Learning with Graph Consistency

Binghui Chen, Zhaoyi Yan, Pengyu Li, Biao Wang, Lei Zhang. "Deep Metric Learning with Graph Consistency. " AAAI, 2021.

Virtual Fully-Connected Layer: Training Large-scale Face Recognition Dataset with Limited Computational Resources

Pengyu Li, Biao Wang, Lei Zhang. "Virtual Fully-Connected Layer: Training Large-scale Face Recognition Dataset with Limited Computational Resources. " CVPR, 2021.

Interactive Self-Training with Mean Teachers for Semi-Supervised Object Detection

Qize Yang, Xihan Wei, Biao Wang, Lei Zhang, Xiansheng Hua. "Interactive Self-Training with Mean Teachers for Semi-Supervised Object Detection. " CVPR, 2021.

VirFace: Enhancing Face Recognition via Unlabeled Shallow Data

Wenyu Li, Tianchu Guo, Pengyu Li, Binghui Chen, Biao Wang, Wangmeng Zuo, Lei Zhang. "VirFace: Enhancing Face Recognition via Unlabeled Shallow Data. " CVPR, 2021.

Variational Attention: Propagating Domain-Specific Knowledge for Multi-Domain Learning in Crowd Counting

Binghui Chen, Zhaoyi Yan, Ke Li, Pengyu Li, Biao Wang, Wangmeng Zuo, Lei Zhang. "Variational Attention: Propagating Domain-Specific Knowledge for Multi-Domain Learning in Crowd Counting. " ICCV, 2021.

Towards Learning Multi-domain Crowd Counting

Zhaoyi Yan, Pengyu Li, Biao Wang, Dongwei Ren, Wangmeng Zuo. "Towards Learning Multi-domain Crowd Counting. " IEEE Transactions on Circuits and Systems for Video Technology, accepted, 2022.

PRNet++: Learning towards Generalized Occluded Pedestrian Detection via Progressive Refinement Network

Xiaolin Song, Binghui Chen, Pengyu Li, Biao Wang, Honggang Zhang. "PRNet++: Learning towards Generalized Occluded Pedestrian Detection via Progressive Refinement Network. " NeuroComputing, accepted, 2022.

Confusion based Metric Learning for Regularizing Zero-shot Image Retrieval and Clustering

Binghui Chen, Weihong Deng, Biao Wang, Lei Zhang. "Confusion based Metric Learning for Regularizing Zero-shot Image Retrieval and Clustering. " IEEE Transactions on Neural Networks and Learning Systems, accepted, 2022.

Dense Learning based Semi-Supervised Object Detection

Binghui Chen, Pengyu Li, Xiang Chen, Biao Wang, Lei Zhang, Xiansheng Hua. "Dense Learning based Semi-Supervised Object Detection. " CVPR, 2022.

CDAD: A Common Daily Action Dataset with Collected Hard Negative Samples

Wangmeng Xiang, Chao Li, Ke Li, Biao Wang, Lei Zhang, Xiansheng Hua. "CDAD: A Common Daily Action Dataset with Collected Hard Negative Samples. " L3D-IVU Workshop on CVPR, 2022.

Spatiotemporal Self-attention Modeling with Temporal Patch Shift for Action Recognition

Wangmeng Xiang, Chao Li, Biao Wang, Xihan Wei, Lei Zhang, Xiansheng Hua. "Spatiotemporal Self-attention Modeling with Temporal Patch Shift for Action Recognition. " ECCV, accepted, 2022.