Jun Wan's Homepage

1. Gesture recognition from RGB-D Data 

In our group, one of the research interests is gesture recogniton from RGB-D data. The goal of this project is to develop the robust algorithms and system for human computer interaction (HCI).

Selective Publications (*corresponding author):

[7] Pichao Wang, Wanqing Li, Jun Wan*, Philio Ogunbona, Xinwang Liu, "Cooperative Training of Deep Aggregation Networks for RGB-D Action Recognition", AAAI, 2018. [PDF]

[6] Jiali Duan, Jun Wan*, Shuai Zhou, Xiaoyuan Guo, Stan Z Li, "A Unified Framework for Multi-Modal Isolated Gesture Recognition", ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 2017 (Accept). [PDF]

[4] 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. [PDF]

[3] 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 . [PDF]

[2] Jun Wan, Qiuqi Ruan, and Wei Li, "3D SMoSIFT: Three-dimensional Sparse Motion Scale Invariant Feature Transform for Activity Recognition from RGB-D Videos", Journal of Electronic Imaging, 23(2), 023017, 2014. [PDF]

[1] 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. [PDF]

Project Demos

Databases

  • Chalearn LAP ConGD Database
  • Chalearn LAP IsoGD Database
  • To use both datasets please cite:

  • Jun Wan, Yibing Zhao, Shuai Zhou, Isabelle Guyon, Sergio Escalera and Stan Z. Li, "ChaLearn Looking at People RGB-D Isolated and Continuous Datasets for Gesture Recognition", CVPR workshop, 2016. [PDF]


2. Automatic Facial Attribute Analysis

In this project, we focus on automatic facial attribute analysis, such as age estimation, race and gender recognition, facial expression recogniton.

Selective Publications (*corresponding author):

[4] Zichang Tan, Jun Wan*, Zhen Lei, Ruicong Zhi, Guodong Guo, Stan Z. Li, "Efficient Group-n Encoding and Decoding for Facial Age Estimation", IEEE TPAMI 2017 (accept). [PDF][Project]

[3] Jun Wan*, Zichang Tan, Zhen Lei, Stan Z. Li, "Auxiliary Demographic Information Assisted Age Estimation with Cascaded Structure", IEEE Transactions on Cybernetics 2017 (accept). [PDF]

[2] Yiliang Chen, Zichang Tan, Alex Po Leung, Jun Wan, Jianguo Zhang, "Multi-Region Ensemble Convolutional Neural Networks for High Accuracy Age Estimation", BMVC 2017. [PDF]

[1] Zichang Tan, Shuai Zhou, Jun Wan*, Zhen Lei, Stan Z. Li "Age Estimation Based on A Single Network with Soft Softmax of Aging Modeling", In Proceedings of the 13th Asian Conference on Computer Vision (ACCV2016). Taipei, China, 2016. [PDF]

Project Demos


Contact

Jun Wan

Assistant Professor

Room 1411, Intelligent Building

95 Zhongguancun Donglu,

Haidian District,

Beijing 100190, China.

Email:

jun.wan at ia.ac.cn

joewan10 at gmail.com