Hailin Shi 石海林

We are hiring

• full-time R&D talents to work together in artificial intelligent for digital cockpit. 

• long-term intern. 

You can send your CV to the above email address.

Bio

Dr. Hailin Shi has joined NIO since 2022 as expert in algorithm, focusing on the R&D work of multi-modality human-machine interaction for intelligent and digital cockpit. Before, he was a senior researcher and tech leader in JD AI Research. His team explored in the large scale face recognition, facial landmark detection, face parsing, self-supervised learning etc. More 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 the Ph.D degree in Pattern Recognition and Intelligent Systems from CASIA, supervised by Stan Z. Li. Before that, he received the M.S degree in CS from University of Paris VI (now called Sorbonne Université), supervised by Prof. Isabelle Bloch and Prof. Dominique Béréziat, and the B.E double degree in EE from the joint-program of Nanchang University and University of Poitiers.

Publications

• • Hanbin Dai, Hailin Shi, Wu Liu, Linfang Wang, Yinglu Liu, Tao Mei. "FasterPose: a faster simple baseline for human pose estimation", ACM ToMM 2022.

  • Zicheng Zhang, Yinglu Liu, Congying Han, Hailin Shi, Tiande Guo, Bowen Zhou. "PetsGAN: Rethinking Priors for Single Image Generation", AAAI 2022.

  • Hangtong Wu, Dan Zeng, Yibo Hu, Hailin Shi, Tao Mei. "Dual Spoof Disentanglement Generation for Face Anti-spoofing with Depth Uncertainty Learning", IEEE TCSVT 2021.

  • Yinglu Liu, Mingcan Xiang, Hailin Shi, Tao Mei. "One-stage Context and Identity Hallucination Network", ACM MM 2021.

  • Jun Wang, Yinglu Liu, Yibo Hu, Hailin Shi, Tao Mei. "Facex-zoo: A pytorch toolbox for face recognition", ACM MM 2021 OpenSource.

  • Chaoyou Fu, Yibo Hu, Xiang Wu, Hailin Shi, Tao Mei, Ran He. "CM-NAS: Cross-Modality Neural Architecture Search for Visible-Infrared Person Re-Identification", ICCV2021.

  • Jiahui She, Yibo Hu, Hailin Shi, Jun Wang, Qiu Shen, Tao Mei. "Dive into Ambiguity: Latent Distribution Mining and Pairwise Uncertainty Estimation for Facial Expression Recognition", CVPR2021.

  • Gusi Te, Wei Hu, Yinglu Liu, Hailin Shi, Tao Mei. "AGRNet: Adaptive Graph Representation Learning and Reasoning for Face Parsing", IEEE TIP 2021.

  • Mingcan Xiang, Yinglu Liu, Tingting Liao, Xiangyu Zhu, Can Yang, Wu Liu, Hailin Shi. "The 3rd Grand Challenge of Lightweight 106-Point Facial Landmark Localization on Masked Faces", IEEE ICME Workshop 2021.

  • Hang Du, Hailin Shi, Yinglu Liu, Dan Zeng, Tao Mei. "Towards NIR-VIS Masked Face Recognition", IEEE SPL 2021.

  • Yuchi Liu, Hailin Shi, Hang Du, Rui Zhu, Jun Wang, Liang Zheng, Tao Mei. "Boosting Semi-Supervised Face Recognition with Noise Robustness", IEEE TCSVT 2021.

  • Peipei Li, Yinglu Liu, Hailin Shi, Xiang Wu, Yibo Hu, Ran He, Zhenan Sun. "Dual-Structure Disentangling Variational Generation for Data-Limited Face Parsing", ACM MM 2020 oral.

  • 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", AAAI 2020.

  • Xiaobo Wang, Shifeng Zhang, Shuo Wang, Tianyu Fu, Hailin Shi, Tao Mei. "Mis-classified Vector Guided Softmax Loss for Face Recognition", AAAI 2020.

  • Xiaobo Wang, Shuo Wang, Hailin Shi, Jun Wang, Tao Mei. "Co-Mining: Deep Face Recognition with Noisy Labels", ICCV 2019, oral.

  • Chen Ma, Chenxu Zhao, Hailin Shi, Li Chen, Junhai Yong and Dan Zeng. "MetaAdvDet: Towards Robust Detection of Evolving Adversarial Attacks", ACM MM 2019.

  • Yinglu Liu, Hao Shen, Yue Si, Xiaobo Wang, Xiangyu Zhu, Hailin Shi, et .al. "Grand challenge of 106-point facial landmark localization". IEEE ICME Workshop 2019.

  • Rui Zhu, Shifeng Zhang, Xiaobo Wang, Longyin Wen, Hailin Shi*, Liefeng Bo, Tao Mei. " ScratchDet: Training Single-Shot Object Detectors from Scratch", IEEE CVPR 2019, 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", IEEE CVPR 2019.

  • 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.

  • 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, et. al. "Trends and Controversies". IEEE Intelligent Systems. 2018.

  • Hailin Shi, Shengcai Liao, Dong Yi, Stan Z. Li. "Learning Deep Metrics for Person Reidentification", Deep Learning in Biometrics, 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", IEEE ICME, 2018.

  • Jinlin Wu, Hailin Shi*, Shu Zhang, Zhen Lei, Yang Yang, Stan Z. Li. "De-mark GAN: Removing Dense Watermark with Generative Adversarial Network", ICB 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 SPL 2017.

  • Shifeng Zhang, Xiangyu Zhu, Zhen Lei, Hailin Shi, Xiaobo Wang, Stan Z. Li. "S3FD: Single Shot Scale-invariant Face Detector", IEEE ICCV2017. 

  • Shifeng Zhang, Xiangyu Zhu, Zhen Lei, Hailin Shi, Xiaobo Wang, Stan Z. Li. "Detecting Face with Densely Connected Face Proposal Network", CCBR 2017.

  • Shifeng Zhang, Xiangyu Zhu, Zhen Lei, Hailin Shi, Xiaobo Wang, and Stan Z. Li. "FaceBoxes: A CPU Real-time Face Detector with High Accuracy", IJCB 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.

  • Hailin Shi, Xiangyu Zhu, Zhen Lei, Shengcai Liao, Stan Z. Li. "Learning Discriminative Features with Class Encoder",  In IEEE CVPR Workshop 2016.

  • Xiangyu Zhu, Zhen Lei, Xiaoming Liu, Hailin Shi, Stan Z. Li. "Face Alignment Across Large Poses: A 3D Solution", IEEE CVPR 2016.

  • Yang Yang, Zhen Lei, Shifeng Zhang, Hailin Shi, Stan Z. Li. "Metric Embedded Discriminative Vocabulary Learning for High-Level Person Representation", AAAI 2016.

Academic Activities

TUTORIAL

• Research Progress in Person Re-identification, in CCCV2017, October 11, 2017. [slides]

• Towards Deep Large-scale Face Recognition in the Wild, Human-centric Visual Understanding, in ACM Multimedia ASIA 2019, December, 2019. [slides]

SERVICES

• Area Chair, SPC: ICME, ACMMM, AAAI.

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

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

WORKSHOP

• Human-centric Trustworthy Computer Vision: From Research to Applications@ICCV2021

• ChaLearn Face Anti-spoofing Attack Detection Challenge@CVPR2019.

COMPETITION ORGANIZATION

• Grand Challenge of 106-p Facial Landmark Localization@ICME2019.

• The 2nd Grand Challenge of 106-p Facial Landmark Localization@ICPR2020.

• The 3rd Grand Challenge of 106-p Facial Landmark Localization@ICME2021.

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.