Associate Professor Jun Wan

Associate Professor Jun Wan

Faculty of Information Technology

 

Office: A406a

Tel.: +853-8897 2372

E-mail: jwan@must.edu.mo

Academic Qualification:
  • Ph.D. in Signal and Information Processing, Beijing Jiaotong University
  • B.S. School of Geophysics and Geoinformation Systems, China university of Geosciences (Beijing)
Research Area
  • Computer Vision
  • Machine Learning
  • Face Analysis
  • Gesture and Sign Language Recognition
Working Experience
  • 2018-present, Associate Professor, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, China
  • 2015-2018, Assistant Professor, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, China

Academic Publication (selected)

  • Jun Wan, Guodong Guo, Stan Z Li, "Explore efficient local features from RGB-D data for one shot learning gesture recognition", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 38, no. 8, pp. 1626-1639, 2016.
  • Zichang Tan, Jun Wan*, Zhen Lei, Ruicong Zhi, Guodong Guo, Stan Z. Li, "Efficient Group-n Encoding and Decoding for Facial Age Estimation", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol 40, No. 11, 2018
  • Zitong Yu, Jun Wan*, Yunxiao Qin, Xiaobai Li, Stan Z. Li, Guoying Zhao*, "NAS-FAS: Static-Dynamic Central Difference Network Search for Face Anti-spoofing", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 (accepted).
  • Jun Wan, Vassilis Athitsos, Pat Jangyodsuk, Hugo Jair Escalante, Qiuqi Ruan, and Isabelle Guyon "CSMMI: Class-Specific Maximization of Mutual Information for Action and Gesture Recognition", IEEE Transactions on Image Processing (TIP), vol 23(7), pp.3152-3165, 2014.
  • Zichang Tan, Yang Yang, Jun Wan*, Hanyuan Huang, Guodong Guo and Stan Z. Li, "Attention based Pedestrian Attribute Analysis", IEEE Transactions on Image Processing (TIP), Vol 28, No. 12, 6126-6140, 2019.
  • Zitong Yu, Benjia Zhou, Jun Wan*, Pichao Wang, Haoyu Chen, Xin Liu, Stan Z. Li, Guoying Zhao, "Searching Multi-Rate and Multi-Modal Temporal Enhanced Networks for Gesture Recognition", IEEE Transactions on Image Processing (TIP), 2021.
  • Jun Wan, Qiuqi Ruan, Shuang Deng and Wei Li "One-shot Learning Gesture Recognition from RGB-D Data Using Bag of Features", Journal of Machine Learning Research (JMLR), pp. 2549-2582, vol 14, 2013.
  • Yunan Li, Jun Wan*, Qiguang Miao, Sergio Escalera, Huijuan Fang, Huizhou Chen, Xiangda Qi and Guodong Guo, "CR-Net: A Deep Classification-Regression Network for Multimodal Apparent Personality Analysis", International Journal of Computer Vision (IJCV), 2020.
  • Yang Yang, Zichang Tan, Prayag Tiwari, Hari Mohan Pandey, Jun Wan*, Zhen Lei, Guodong Guo, Stan Z. Li, "Cascaded Split-and-Aggregate Learning with Feature Recombination for Pedestrian Attribute Recognition", International Journal of Computer Vision (IJCV), 2021.
  • Jun Wan, Chi Lin, Longyin Wen, Yunan Li, Qiguang Miao, Sergio Escalera, Gholamreza Anbarjafari, Isabelle Guyon, Guodong Guo, Stan Z. Li, "ChaLearn Looking at People: IsoGD and ConGD Large-scale RGB-D Gesture Recognition", IEEE Transactions on Cybernetics (TCYB), 2020
  • Jun Wan*, Zichang Tan, Zhen Lei, Guodong Guo, Stan Z. Li, "Auxiliary Demographic Information Assisted Age Estimation with Cascaded Structure", IEEE Transactions on Cybernetics (TCYB), Vol 48, No. 9, pp. 2531-2541, 2018.
  • Ajian Liu, Zichang Tan, Jun Wan*, Yanyan Liang, Zhen Lei, Guodong Guo, Stan Z. Li, "Face Anti-spoofing via Adversarial Cross-modality Translation", IEEE Transactions on Information Forensics & Security (TIFS), 2021.
  • Shifeng Zhang, Ajian Liu, Jun Wan*, Yanyan Liang, Guodong Guo, Sergio Escalera, Hugo Jair Escalante and Stan Z. Li, "CASIA-SURF: A Large-scale Multi-modal Benchmark for Face Anti-spoofing", IEEE Transactions on Biometrics, Behavior, and Identity Science (TBIOM), 2020.
  • Pichao Wang, Wanqing Li, Philip Ogunbona, Jun Wan*, Sergio Escalera, "RGB-D-based Human Motion Recognition with Deep Learning: A Survey", Computer Vision and Image Understanding (CVIU), Vol 171, PP 118-139, 2018.
  • Benjia Zhou, Yunan Li, Jun Wan*, "Regional Attention with Architecture-Rebuilt 3D Network for RGB-D Gesture Recognition", AAAI, 2021.
  • Zichang Tan, Yang Yang, Jun Wan*, Guodong Guo, Stan Z. Li, "Relation-Aware Pedestrian Attribute Recognition with Graph Convolutional Networks", AAAI, 2020.
  • 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", CVPR, 2019.
  • Pichao Wang, Wanqing Li, Jun Wan*, Philio Ogunbona, Xinwang Liu, "Cooperative Training of Deep Aggregation Networks for RGB-D Action Recognition", AAAI, pp. 7404-7411, 2018
Books
  • Jun Wan, Guodong Guo, Sergio Escalera, Hugo Jair Escalante, Stan Z. Li (Editors), Multi-Modal Face Presentation Attack Detection, Synthesis Lectures on Computer Vision, Morgan & Claypool Publishers, 2020.
Professional Society Membership
  • Senior Member , Institute of Electrical and Electronics Engineers (IEEE).
  • Director, ChaLearn

Faculty Staff