Xiaobo Wang


Researcher, JD AI Research, Beijing, China
Previously Center for Biometrics and Security Research ( CBSR ), Institute of Automation, Chinese Academic of Sciences, Beijing, China

wangxiaobo8@jd.com, wangxiaobo2015@ia.ac.cn, xiaobo.wang@nlpr.ia.ac.cn


About Me


I am currently a Researcher in JD AI Research. Before that, I received the PhD (2015-2018) degree in National Laboratory of Pattern Recognition of Institute of Automation, Chinese Academic of Sciences , supervised by Prof. Stan Z. Li . I received the B.S (2008-2012) degree in Applied Mathematics and M.S (2012-2015) degree in Computational Mathematics , Tianjin University.

My research interest mainly lies in Face Recognition, Model Compression, Object Detection and Image Classification.

Publications


2020

  • [2020-1] Xiaobo Wang, Shuo Wang, Cheng Chi, Shifeng Zhang, Tao Mei. Loss Function Search for Face Recognition. International Conference on Machine Learning, Vienna, Austria (ICML2020). [paper] [data&code] [video]
  • [2020-2] Xiaobo Wang, Shifeng Zhang, Shuo Wang, Tianyu Fu, Tao Mei. Mis-classified Vector Guided Softmax Loss for Face Recognition. Association for the Advancement of Artificial Intelligence, New York, USA (AAAI2020, Oral). [paper] [data&code] [video]
  • [2020-3] Yinglu Liu, Hailin Shi, Hao Shen, Yue Si, Xiaobo Wang, Tao Mei. A New Dataset and Boundary-Attention Semantic Segmentation for Face Parsing. Association for the Advancement of Artificial Intelligence, New York, USA (AAAI2020). [paper]

2019

  • [2019-1] Xiaobo Wang, Shuo Wang, Jun Wang, Hailin Shi, Tao Mei. Co-Mining: Deep Face Recognition with Noisy Labels. IEEE International Conference on Computer Vision, Seoul, Korea (ICCV2019, Oral). [paper] [data&code coming soon!]
  • [2019-2] Shifeng Zhang, Xiaobo Wang, Zhen Lei, Stan Z. Li, FaceBoxes: A CPU Real-Time and Accurate Unconstrained Face Detector. Neurocomputing ( NC-19, SCI2 ). [paper]
  • [2019-3] Yinglu Liu, Hao Shen, Yue Si, Xiaobo Wang, Xiangyu Zhu, Hailin Shi, Grand Challenge of 106-Point Facial Landmark Localization. International Conference on Multimedia and Expo (ICME-19 Workshop, CCF-B). [paper] [Challenge]
  • [2019-4] Shifeng Zhang*, Rui Zhu*, Xiaobo Wang*, Hailin Shi, Tianyu Fu, Shuo Wang, Tao Mei, Stan Z. Li. Improved Selective Refinement Network for Face Detection. Technical report. (state-of-the-art performance on WIDER FACE). [paper]
  • [2019-5] Rui Zhu, Shifeng Zhang, Xiaobo Wang, Longyin Wen, Hailin Shi, Liefeng Bo, Tao Mei. ScratchDet: Training Single-Shot Object Detectors from Scratch. IEEE Conference on Computer Vision and Pattern Recognition, Long Beach, USA. (CVPR2019 Oral). [paper] [code]
  • [2019-6] Shifeng Zhang*, Xiaobo Wang*, Ajian Liu, Chenxu Zhao, Jun Wan, Sergio Escalera, Hailin Shi, Zezheng Wang, Stan Z. Li. A Dataset and Benchmark for Large-scale Multi-modal Face Anti-spoofing. IEEE Conference on Computer Vision and Pattern Recognition, Long Beach, USA. (CVPR2019). [paper] [code]
  • [2019-7] Jinlin Wu, Shengcai Liao, Zhen Lei, Xiaobo Wang, Yang Yang, Stan Z. Li. Clustering and Dynamic Sampling Based Unsupervised Domain Adaption for Person Re-identification. IEEE International Conference on Multimedia and Expo, Shanghai, China. (ICME2019). [paper]
  • [2019-8] Xiaobo Wang, Zhen Lei, Xiaojie Guo, Changqing Zhang, Hailin Shi, Stan Z. Li, Multi-view subspace clustering with intactness-aware similarity. Pattern Recognition. (PR-19 SCI2 ). [paper] [code]

2018

  • [2018-1] Xiaobo Wang, Shifeng Zhang, Zhen Lei, Si Liu, Xiaojie Guo, Stan Z. Li, Ensemble Soft-Margin Softmax Loss for Image Classification. the 27th International Joint Conference on Artificial Intelligence, Stockholm, Sweden. (IJCAI-18, Oral, CCF-A). [paper] [code]
  • [2018-2] Xiaobo Wang, Zhen Lei, Hailin Shi, Xiaojie Guo, Xiangyu Zhu, Stan Z. Li, Co-Referenced Subspace Clustering. IEEE International Conference on Multimedia and Expo, San Diego, USA. (ICME-18/Oral, Best Student Paper Runner Up, CCF-B). [paper] [code]
  • [2018-3] Xiaobo Wang, Zhen Lei, Shengcai Liao, Xiaojie Guo, Yang Yang, Stan Z. Li, Dependence-Aware Feature Coding for Person Re-Identification. IEEE Signal Processing Letters (SPL-18 SCI3 ). [paper] [code]
  • [2018-4] Xuezhi Liang, Shengcai Liao, Xiaobo Wang, Wei Liu, Yuxuan Chen, Stan Z. Li, Deep Background Subtraction with Guided Learning. IEEE International Conference on Multimedia and Expo, San Diego, USA. (ICME-18 CCF-B). [paper]
  • [2018-5] Changqing Zhang, Ziwei Yu, Qinghua Hu*, Pengfei Zhu, Xinwang Liu, Xiaobo Wang, Latent Semantic Aware Multi-view Multi-label Classification. the 32th AAAI Conference on Artificial Intelligence, New Orleans, Louisiana (AAAI-18/Oral CCF-A). [paper]

2017

  • [2017-1] Xiaobo Wang, Xiaojie Guo, Zhen Lei, Changqing Zhang, Stan Z. Li, Exclusivity-Consistency Regularized Multi-view Subspace CLustering. IEEE Conference on Computer Vision and Pattern Recognition, Hawaii, USA (CVPR-17/Spotlight CCF-A). [paper] [code]
  • [2017-2] Liang Xuezhi, Xiaobo Wang, Zhen Lei, Shengcai Liao, Stan Z. Li, Soft-Margin Softmax for Deep Classification. IEEE International Conference on Neural Information Processing, Guangzhou, China. (ICONIP-17/Oral CCF-C). [paper]
  • [2017-3] Haibo Jin, Xiaobo Wang, Shengcai Liao, Stan Z. Li, Deep Person Re-Identification with Improved Embedding and Efficient Training. International Joint Conference on Biometrics, Denver, USA. (IJCB-17/Spotlight CCF-C). [paper]
  • [2017-4] Xiaojie Guo, Xiaobo Wang, Haibin Ling, Exclusivity Regularized Machine: A new Ensemble SVM Classifier. the 26th International Joint Conference on Artificial Intelligence, Melbourne, Australia. (IJCAI-17 CCF-A). [paper]
  • [2017-5] Hailin Shi, Xiaobo Wang, Dong Yi, Zhen Lei, Xiangyu Zhu, Stan Z. Li, Cross-Modality Face Recognition via Heterogeneous Joint Bayesian. IEEE Signal Processing Letters (SPL-17, SCI3 ). [paper]
  • [2017-6] Shifeng Zhang, Xiangyu Zhu, Zhen Lei, Hailin Shi, Xiaobo Wang, Stan Z. Li, S3FD: Single Shot Scale-invariant Face Detector. IEEE International Conference on Computer Vision, Venice, Italy. (ICCV-17, CCF-A). [paper]
  • [2017-7] Shifeng Zhang, Xiangyu Zhu, Zhen Lei, Hailin Shi, Xiaobo Wang, Stan Z. Li, Detecting Face with Densely Connected Face Proposal Network. Neurocomputing (NC-17, SCI2 ). [paper]
  • [2017-8] Shifeng Zhang, Xiangyu Zhu, Zhen Lei, Hailin Shi, Xiaobo Wang, Stan Z. Li, FaceBoxes: A CPU Real-time Face Detector with High Accuracy. International Joint Conference on Biometrics, Denver, USA. (IJCB-17/Spotlight, CCF-C). [paper] [code]
  • [2017-9] Shifeng Zhang, Xiangyu Zhu, Zhen Lei, Hailin Shi, Xiaobo Wang, Stan Z. Li, Detecting Face with Densely Connected Face Proposal Network. Chinese Conference Biometric Recognition, Shenzhen, China. (CCBR-17, Best Student Paper). [paper]

Before 2017

  • [2015-1] Xiaobo Wang, Xiaojie Guo, Stan Z. Li, Adaptively Unified Semi-Supervised Dictionary Learning with Active Points. IEEE International Conference on Computer Vision, Santiago, Chile. (ICCV-15, CCF-A). [paper] [code]
  • [2014-1] Xiaobo Wang, Xiaochun Cao, Xiaojie Guo, Zhenjie Song, Beautifying Fisheye Images using Orientation and Shape Cues. ACM Multimedia Conference, Brisbane, Australia. (ACMMM-14, CCF-A). [paper] [code]

Pre-prints


Awards


Academic Activities


Presentation

Reviewer

Friends


Zhen Lei (CBSR), Xiaojie Guo (Tianjin University), Si Liu (IIE, CAS), Changqing Zhang (Tianjin University), Shengcai Liao (CBSR), Jun Wan (CBSR), Shifeng Zhang (CBSR),