I am currently a final year Ph.D. student in the Electronic Engineering, the Chinese University of Hong Kong, advised by Prof. Xiaogang WANG and Prof. Wanli Ouyang. I also work with the Multimedia Laboratory, CUHK. Currently, I am a visiting student at CMU working with Prof. Abhinav Gupta (from Oct 15, 2017 to April 30, 2018). I achieved my masters degree in Computer Science under the supervision of Prof. Liang Lin at Sun Yat-sen University. I achieved my BEng in Software Engineering, Sun Yat-sen University. My research interests include computer vision and deep learning.

News

  • I am currently a visiting student at CMU working with Prof. Abhinav Gupta (from Oct 15, 2017 to April 30, 2018).
  • Two papers are accepted to ICCV 2017. (2017-07-17)
  • The code for our CVPR 2017 paper has been made publicly available now. (2017-04-05)
  • One paper is accepted to CVPR 2017. (2017-03-18)
  • I have fullfilled the candidacy requirement and will be advanced to Ph.D. (post-candidacy) stage. (2016-06-03)

Publication

Conferences

  • Learning Feature Pyramids for Human Pose Estimation
    Wei Yang , Shuang Li, Wanli Ouyang, Hongsheng Li, Xiaogang Wang
    International Conference on Computer Vision (ICCV) 2017.
    PDF | Code

  • Identity-Aware Textual-Visual Matching with Latent Co-attention
    Shuang Li, Tong Xiao, Hongsheng Li, Wei Yang , Xiaogang Wang
    International Conference on Computer Vision (ICCV) 2017.
    PDF

  • Multi-Context Attention for Human Pose Estimation
    Xiao Chu*, Wei Yang *, Wanli Ouyang, Cheng Ma, Alan L. Yuille, Xiaogang Wang
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 (AC 29.6%).
    (* indicates equal contribution.)
    PDF | Code

  • End-to-End Learning of Deformable Mixture of Parts and Deep Convolutional Neural Networks for Human Pose Estimation
    Wei Yang, Wanli Ouyang, Hongsheng Li, and Xiaogang Wang
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016 (Oral, AC 3.9%).
    PDF | Project

  • Multi-task Recurrent Neural Network for Immediacy Prediction
    Xiao Chu, Wanli Ouyang, Wei Yang and Xiaogang Wang
    in Proceedings of IEEE International Conference on Computer Vision (ICCV) 2015 (Oral, AC 3.3%).
    PDF | Project | Dataset

  • Clothing Co-Parsing by Joint Image Segmentation and Labeling
    Wei Yang, Ping Luo, and Liang Lin
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014 (AC 29.9%).
    PDF | Project | Dataset


  • Data-Driven Scene Understanding by Adaptive Exemplar Retrieval
    Xionghao Liu, Wei Yang, Ya Li, Liang Lin, and Jian-Huang Lai,
    Proc. of IEEE International Conference on Multimedia and Expo (ICME), 2014 (AC 29.6%).
    PDF

  • Learning Contour-Fragment-based Shape Model with And-Or Tree Representation
    Liang Lin, Xiaolong Wang, Wei Yang, and Jian-Huang Lai
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012 (AC 24.1%).
    PDF

  • Interactive CT image segmentation with online discriminative learning
    Wei Yang, Xiaolong Wang, Liang Lin, Chengying Gao
    Proc. of IEEE International Conference on Image Processing (ICIP), 2011 (AC 40.6%).
    PDF | Project

Technical Report

  • Progressively Diffused Networks for Semantic Image Segmentation
    Ruimao Zhang*, Wei Yang*, Zhanglin Peng, Xiaogang Wang, Liang Lin
    arXiv preprint, arXiv: 1702.05839, 2017 .
    (* indicates equal contribution.)
    arXiv preprint | Code

Journal Papers

  • Xiaodan Liang, Liang Lin, Wei Yang, Ping Luo, Junshi Huang, and Shuicheng Yan. Clothes Co-Parsing via Joint Image Segmentation and Labeling with Application to Clothing Retrieval. IEEE Transactions on Multimedia (T-MM), 2016. PDF
  • Liang Lin, Wei Yang, Chenglong Li, Jin Tang, Xiaochun Cao. Inference With Collaborative Model for Interactive Tumor Segmentation in Medical Image Sequences. IEEE Transactions on Cybernetics (T-Cybernetics), 2015. PDF | Project | Dataset
  • Xionghao Liu, Wei Yang, Liang Lin, Qing Wang, Zhaoquan Cai, Jian-Huang Lai. Data-Driven Scene Understanding with Adaptively Retrieved Exemplars. IEEE Multimedia, 2015. Project | PDF | Code
  • Liang Lin, Xiaolong Wang, Wei Yang, and JianHuang Lai. Discriminatively Trained And-Or Graph Models for Object Shape Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 37(5): 959-972, 2015. Project | PDF | Code | Dataset

Professional Activities

I serviced as a reviewer for the following journals and conferences

  • IEEE International Conference on Computer Vision (ICCV), 2017
  • IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2017
  • International Joint Conference on Artificial Intelligence (IJCAI), 2017
  • IEEE Transaction on Cybernetics (TCYB), 2017
  • Elsevier Journal of Neurocomputing (NEUCOM), 2016
  • Elsevier Journal of Pattern Recognition (PR), 2016

Teaching

Teaching assistant at CUHK for the following courses:

  • 2017, Spring. Introduction to Deep learning (ELEG 5491).
  • 2016, Fall. Complex Analysis and Differential Equations (ENGG 2420A).
  • 2016, Spring. Probability and Statistics for Engineers (ENGG 2430D).
  • 2015, Fall. Complex Analysis and Differential Equations for Engieers (ENGG 2420A).
  • 2015, Summer. Solidworks.
  • 2014, Fall. Digital Circuits and Systems (ELEG2201).

Selected Awards

  • Scholarships
    • National Scholarship, 2012.
    • The Third Prize Scholarship, 2010.
    • The Second Prize Scholarship, 2008-2009.
  • Amway University IT Project Competition, Silver Medal, 2011.
  • Computer Programming Competition of Sun Yat-sen University, Third prize, 2009.

Contact

  • Email: platero.yang (at) gmail.com
  • Address: Room 304, Ho Sin Hang Engineering Building, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong

(last update: Aug 4th, 2017)