Hailin Shi

Ph.DSenior ResearcherJD AI ResearchBeijing, ChinaEmail: shihailin [at] jd.com, hailinshi.work [at] gmail.com

“For certain, you have to be lost to find a place that can't be found, elseways everyone would know where it was. ”

- Captain Barbossa 《Pirates of the Caribbean: At World's End》

We are hiring

  • full-time researchers to work together in computer vision.

  • interns enthused about pattern recognition and computer vision.

You can contact me at the above email address any time.

Bio

Hailin Shi is currently a Senior Researcher in JD AI Research. His team is interested in the large scale face recognition, facial landmark detection, face parsing, self-supervised learning etc. Previously, he was assistant professor at Institute of Automation, Chinese Academy of Sciences (CASIA), worked closely with Prof. Stan Z. Li and Prof. Zhen Lei. He received Ph.D from CASIA, supervised by Stan Z. Li. Before that, he received the M.S degree of CS at University of Paris VI.

News

2021.01

To access the dataset, please send your name and affiliation to the email address below, and we will provide the download link.

aniuzhang.work [at] gmail.com

Please cite our paper below if using the dataset in your work.


Yinglu Liu, Hao Shen, Yue Si, Xiaobo Wang, Xiangyu Zhu, Hailin Shi, et al. "Grand Challenge of 106-Point Facial Landmark Localization." In 2019 IEEE International Conference on Multimedia and Expo (ICME) Workshop. IEEE, 2019.

Publications

    • Hang Du, Haishi Shi, Yuchi Liu, Jun Wang, Zhen Lei, Dan Zeng, Tao Mei. "Semi-Siamese Training for Shallow Face Learning ", ECCV 2020 spotlight.

    • Gusi Te, Yinglu Liu, Wei Hu, Hailin Shi, Tao Mei. "Edge-aware Graph Representation Learning and Reasoning for Face Parsing", ECCV 2020.

    • Yinglu Liu, Hailin Shi, Yue Si, Hao Shen, Xiaobo Wang, Tao Mei. "A New Dataset and Boundary-Attention Semantic Segmentation for Face Parsing", In Proceedings of AAAI Conference on Artificial Intelligence, (AAAI 2020).

    • Xiaobo Wang, Shifeng Zhang, Shuo Wang, Tianyu Fu, Hailin Shi, Tao Mei. "Mis-classified Vector Guided Softmax Loss for Face Recognition", In Proceedings of AAAI Conference on Artificial Intelligence, (AAAI 2020).

    • Xiaobo Wang, Shuo Wang, Hailin Shi, Jun Wang, Tao Mei. "Co-Mining: Deep Face Recognition with Noisy Labels", In Proceedings of the IEEE International Conference on Computer Vision, (ICCV2019, oral).

    • Chen Ma, Chenxu Zhao, Hailin Shi, Li Chen, Junhai Yong and Dan Zeng. "MetaAdvDet: Towards Robust Detection of Evolving Adversarial Attacks", In Proceedings of ACM international conference on Multimedia, (ACM MM2019).

    • Yinglu Liu, Hao Shen, Yue Si, Xiaobo Wang, Xiangyu Zhu, Hailin Shi, Zhibin Hong, Hanqi Guo, Ziyuan Guo, Yanqin Chen, Bi Li, Teng Xi, Jun Yu, Haonian Xie, Guochen Xie, Mengyan Li, Qing Lu, Zengfu Wang, Shenqi Lai, Zhenhua Chai, Xiaoming Wei. "Grand challenge of 106-point facial landmark localization". IEEE International Conference on Multimedia & Expo Workshops (ICMEW) 2019.

    • Rui Zhu, Shifeng Zhang, Xiaobo Wang, Longyin Wen, Hailin Shi*, Liefeng Bo, Tao Mei. " ScratchDet: Training Single-Shot Object Detectors from Scratch", In Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition, (CVPR2019, oral).

    • Shifeng Zhang, Xiaobo Wang, Ajian Liu, Chenxu Zhao, Jun Wan, Sergio Escalera, Hailin Shi, Zezheng Wang, Stan Z. Li. " CASIA-SURF: A Dataset and Benchmark for Large-scale Multi-modal Face Anti-Spoofing", In Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition, (CVPR2019).

    • Shifeng Zhang, Rui Zhu, Xiaobo Wang, Hailin Shi*, Tianyu Fu, Shuo Wang, Tao Mei, and Stan Z. Li. Improved selective refinement network for face detection. arXiv:1901.06651, 2019

    • Xiangyu Zhu, Hao Liu, Zhen Lei, Hailin Shi, Fan Yang, Dong Yi, Guojun Qi, Stan Z. Li. "Large-Scale Bisample Learning on ID Versus Spot Face Recognition". IJCV (2019).

    • Shifeng Zhang, Longyin Wen, Hailin Shi, Zhen Lei, Siwei Lyu, Stan Z. Li. "Single-Shot Scale-Aware Network for Real-Time Face Detection". IJCV (2019).

    • Hailin Shi, Xiangyu Zhu, Shengcai Liao, Zhen Lei, Stan Z. Li. "Deep Network Ensemble for Surveillance Face Recognition". IEEE Intelligent Systems 33 (3), 50-53 (2018).

    • Xiaobo Wang, Zhen Lei, Xiaojie Guo, Changqing Zhang, Hailin Shi*, Stan Z. Li. "Multi-view Subspace Clustering with Intactness-Aware Similarity". Pattern Recognition (2018).

    • Hugo Proença, Mark Nixon, Michele Nappi, Esam Ghaleb, Gökhan Özbulak, Hua Gao, Hazim Kemal Ekenel, Klemen Grm, Vitomir Struc, Hailin Shi, Xiangyu Zhu, Shengcai Liao, Zhen Lei, Stan Z Li, Weronika Gutfeter, Andrzej Pacut, Joel Brogan, Walter J Scheirer, Ester Gonzalez-Sosa, Ruben Vera-Rodriguez, Julian Fierrez, Javier Ortega-Garcia, Daniel Riccio, Luigi De Maio, "Trends and Controversies". IEEE Intelligent Systems. 33.3 (2018): 41-67.

    • Hailin Shi, Shengcai Liao, Dong Yi, Stan Z. Li, "Learning Deep Metrics for Person Reidentification", Deep Learning in Biometrics, Vatsa, Mayank, Richa Singh, and Angshul Majumdar (Eds.). CRC Press. ISBN: 978-1-138-57823-4. 2018.

    • Xiaobo Wang, Zhen Lei, Hailin Shi, Xiaojie Guo, Xiangyu Zhu, Stan Z. Li., "Co-Referenced Subspace Clustering", In Proceedings of the IEEE International Conference on Multimedia and Expo (ICME), Oral, 2018.

    • Jinlin Wu, Hailin Shi*, Shu Zhang, Zhen Lei, Yang Yang, Stan Z. Li, "De-mark GAN: Removing Dense Watermark with Generative Adversarial Network", In Proceedings of the IAPR International Conference on Biometrics (ICB2018), Gold Coast, Queensland, Australia, February 20-23, 2018.

    • Shifeng Zhang, Xiangyu Zhu, Zhen Lei, Hailin Shi, Xiaobo Wang, Stan Z. Li, "Detecting Face with Densely Connected Face Proposal Network". Neurocomputing, 2018.

    • Hailin Shi, Xiaobo Wang, Dong Yi, Zhen Lei, Xiangyu Zhu, Stan Z. Li. "Cross-Modality Face Recognition via Heterogeneous Joint Bayesian". IEEE Signal Process. Lett.24(1): 81-85 (2017).

    • Shifeng Zhang, Xiangyu Zhu, Zhen Lei, Hailin Shi, Xiaobo Wang, Stan Z. Li, "S3FD: Single Shot Scale-invariant Face Detector", In Proceedings of IEEE International Conference on Computer Vision, (ICCV2017). Venice, Oct. 22-29, 2017.

    • Shifeng Zhang, Xiangyu Zhu, Zhen Lei, Hailin Shi, Xiaobo Wang, Stan Z. Li, "Detecting Face with Densely Connected Face Proposal Network". In Proceedings of the 12th Chinese Conference on Biometrics, (CCBR2017). ShenZhen, China, Oct. 28-29, 2017. Best Student Paper Award.

    • Shifeng Zhang, Xiangyu Zhu, Zhen Lei, Hailin Shi, Xiaobo Wang, and Stan Z. Li, "FaceBoxes: A CPU Real-time Face Detector with High Accuracy", In Proceedings of the IAPR/IEEE International Joint Conference on Biometrics (IJCB2017), Denver, Colorado, USA, October 1-4, 2017.

    • Hailin Shi, Yang Yang, Xiangyu Zhu, Shengcai Liao, Zhen Lei, Wei-Shi Zheng, Stan Z. Li. "Embedding Deep Metric for Person Re-identification: A Study Against Large Variations". ECCV 2016: 732-748.

    • Hailin Shi, Xiangyu Zhu, Zhen Lei, Shengcai Liao, Stan Z. Li. "Learning Discriminative Features with Class Encoder", In Workshop on Robust Features for Computer Vision, in conjunction with CVPR2016. Las Vegas, June 26-July 1, 2016.

    • Xiangyu Zhu, Zhen Lei, Xiaoming Liu, Hailin Shi, Stan Z. Li. "Face Alignment Across Large Poses: A 3D Solution", In Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition, (CVPR2016, oral). Las Vegas, June 26-July 1, 2016.

    • Yang Yang, Zhen Lei, Shifeng Zhang, Hailin Shi, Stan Z. Li. "Metric Embedded Discriminative Vocabulary Learning for High-Level Person Representation", in Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, (AAAI 2016), Phoenix, Arizona USA, February 12-17, 2016.

*Corresponding author

Awards

  • 2nd Place in CVPR2020 UG2+ Challenge Track2 FlatCam for Face.

  • Outstanding Area Chair in ICME2019

  • 1st Place in 3 tracks (easy, medium, hard) of WIDER FACE challenge.

  • Best Student Paper Award Runner-Up in ICME2018

  • Best Student Paper Award in CCBR2017.

Academic Activities

TUTORIAL

SERVICES

  • Technical Committee, VisDrone2019 Challenge.

  • Area Chair, ICME 2019.

  • Conference Reviewer: CVPR, ICCV, ACMMM, IJCAI, ECCV, ACCV, ICASSP.

  • Journal Reviewer: TIP, TCSVT, TNNLS, TIST, Neurocomputing, MVAP, MTAP.

WORKSHOP

COMPETITION ORGANIZATION