Biao Wang is currently a senior visual AI algorithm expert in DAMO Academy, Alibaba Group. He also serves as the director of Industry Visual Intelligence Team. He received the Ph.D. degree in the Department of Electronic Engineering from Tsinghua University, Beijing, China, in 2013. He has published over 20 papers in top tier academic conferences and journals. His current research interest include object detection, segmentation, classification, and their application to industrial scenario.

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 Visual Intelligence Team
  • City Brain Lab, DAMO Academy, Alibaba Group (阿里巴巴达摩院)
  • Anomaly Detection / Defect Inspection / Human Analysis / Face Recognition
• 2013.7 - 2016.9: Project Leader of Facial Analysis
  • SAIT China Lab, Samsung Electronics (三星中国研究院)
  • Face Detection / Landmark Localization / Liveness Detection / Face Recognition
• 2010.4 - 2010.8: Research Intern, Mentor: Jingdong Wang
  • Microsoft Research Asia (MSRA, 微软亚洲研究院)
  • Approximate Neareast Neighbor / KD Tree / Neighborhood Graph

Products

• 阿里云: 工业视觉智能
• 阿里云: 人脸识别
• 阿里云: 图像识别
• 阿里云: 人体结构化属性
• 阿里云: 人体计数
• 阿里云: 动作行为识别
• 阿里云: 线上监考
• 三星: 人脸检测、关键点定位，比对，识别、活体检测，应用于旗舰Gallaxy S/Note系列.

Programs

• 2019.10 - : 群智涌现机理与演化计算方法
  • 科技部，科技创新2030-“新一代人工智能”重大项目
  • 项目骨干，面向城市大脑的群体智能验证与应用研究
• 2020.10-2022.2: 工业视觉中的异常目标检测关键技术研究
  • 阿里巴巴创新研究计划阿里巴巴创新研究计划(Alibaba Innovative Research, AIR)
  • 项目负责人
• 2020.10-2022.2: 基于RGBD视频的非配合式人脸活体检测
  • 阿里巴巴创新研究计划阿里巴巴创新研究计划(Alibaba Innovative Research, AIR)
  • 项目负责人

Awards

• 个人:
  • 阿里巴巴集团2022“创新伯乐”
  • 三星中国通信研究院2015年度“最佳研究员” (Top 1%)
  • 研究生国家奖学金
  • 本科生国家奖学金
  • 全国大学生英语竞赛二等奖
  • 清华大学综合一等奖学金: 清华之友-蒋震奖学金(Top 5%)
  • 湖北省优秀学士论文一等奖
  • 华中科技大学优秀毕业生
  • 华中科技大学学习优秀奖学金 (Top 5%)
  • 华中科技大学优秀学生干部
  • 华中科技大学优秀学生党支部书记
  • 华中科技大学优秀学生党员
  • 华中科技大学优秀共青团员
  • 黄冈中学王正本奖学金(Top 1%)
• 团队Leader:
  • 阿里巴巴数字经济体FY21“创新团队”
  • 三星电子高等技术研究院2016年度“无限探求奖”(SAIT Research Awards)

Authorized Patents

• Biao Wang, Bing Yu, Chang Kyu Choi, QIAN Deheng, HAN Jae-Joon, XU Jingtao, AN Yaozu. Image processing method and apparatus. 2021. US Patent 10963676.
• Biao Wang, Chao Zhang, Changkyu Choi, QIAN Deheng, HAN Jae-Joon, XU Jingtao, Hao Feng. Target detection method and apparatus. 2020. US Patent 10657424.
• Jingtao Xu, Biao Wang, AN Yaozu, Byungin Yoo, Changkyu Choi, QIAN Deheng, HAN Jae-Joon. Method and apparatus detecting a target. 2020. US Patent 10726244.
• Hao Feng, Chao Zhang, Wonjun Hwang, Biao Wang, Bing Yu, Chang Kyu Choi, HAN JaeJoon. Face detection method and apparatus. 2020. US Patent 10592729.
• Xuetao Feng, Biao Wang, Hao Feng, Hongwei Zhang, Changkyu Choi, HAN JaeJoon, Jungbae Kim, Lujin Gong. Registration method and apparatus for 3D image data. 2019. US Patent 10360469.
• Xuetao Feng, Hao Feng, Hongwei Zhang, Lujin Gong, Changkyu Choi, HAN Jae-Joon, Sungjoo Suh, Wonjun Hwang, Biao Wang. Method and apparatus for adjusting face pose. 2018. US Patent 10134177.
• SHEN Xiaolu, Biao Wang, Xuetao Feng, Jae Joon Han. Positioning method and apparatus using positioning models. 2018. US Patent 10002308.
• BAE Chisung, Haibing Ren, JI YongNan, Xuetao Feng, Biao Wang, SangJoon Kim. Method and apparatus for authenticating user based on biosignal. 2018. US Patent 9876791.
• 张超, 汪彪, 李珂. 视频处理方法、装置及设备. 2022. 中国专利 CN113518201B.
• 刘源, 汪彪, 王浦林, 蔡文舟, 窦川川. 监控摄像机. 2020. 中国专利 CN111526341B.
• 冯昊, 汪彪, 张超, 遇冰, 黄元俊, 韩在濬, 崔昌圭. 一种人脸检测的方法和装置. 2016. 中国专利 CN106991363A.
• 裴致成, 任海兵, 冀永楠, 冯雪涛, 汪彪, 金尚骏. 用于基于生物信号对用户进行认证的方法和设备. 2015. 中国专利 CN105740680A.
• 宫鲁津, 冯雪涛, 汪彪, 张红卫, 冯昊, 金亭培, 韓在濬, 崔昌圭. 3D图像数据的注册方法和装置. 2015. 中国专利 CN105844582A.
• 沈晓璐, 冯雪涛, 汪彪, 韩宰俊. 人脸关键点的定位方法和装置. 2013. 中国专利 CN104715227A.
• 廖庆敏, 汪彪, 李卫锋. 一种人脸图像归一化方法. 2012. 中国专利 CN102867176A.

Publications (Published)

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Deep Metric Learning with Graph Consistency

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

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Publications (in Submission)

• 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, Minor Revision.
• Hui Lv, Zhen Cui, Biao Wang, Lei Zhang, Jian Yang. Spatio-Temporal Relation Learning for VideoAnomaly Detection. IEEE Transactions on Image Processing, in Submission.
• Wenyu Li, Pengyu Li, Tianchu Guo, Binghui Chen, Biao Wang, Wangmeng Zuo, Lei Zhang. VirFace∞ : A Semi-Supervised Method for Enhancing Face Recognition via Unlabeled Shallow Data. IEEE Transactions on Multimedia, in Submission.
• Wangmeng Xiang, Chao Li, Biao Wang, Xihan Wei, Lei Zhang, Xiansheng Hua. Spatiotemporal Self-attention Modeling with Temporal Patch Shift for Action Recognition. ECCV 2022, in Submission.
• Yuxuan Zhou, Chao Li, Biao Wang, Xihan Wei, Margret Keuper, Xiansheng Hua. Para-FC: Arranging Fully-Connected Layers as Parallel Circuit for Modeling Multi-Relational Co-occurrence in Skeleton-Based Action Recognition. ECCV 2022, in Submission.
• Pengyu Li, Jianguo Wang, Yabin Zhang, Biao Wang, Lei Zhang. BiNet: A Biologically-inspired Network for Face Recognition. ECCV 2022, in Submission.
• Tianchu Guo, Pengyu Li, Wei Liu, Bin Luo, Biao Wang, Xiansheng Hua. Dist2: Distribution-Guided Distillation for Object Detection. ECCV 2022, in Submission.
• Yuxuan Zhou, Wangmeng Xiang, Chao Li, Biao Wang, Xihan Wei, Lei Zhang, Margret Keuper, Xiansheng Hua. SP-ViT: Learning 2D Spatial Priors for Vision Transformers. ACM MM 2022, in Submission.

Academic Services

• Reviewer of IEEE TIP, SPL, CVPR 2022, ECCV 2022, AAAI 2022, BMVC 2022