Yongming Rao



PhD student, Department of Automation, Tsinghua University

Office: Room 624, Main Building

CV / Email / Google Scholar / Github

I am a first year Ph.D student in the Department of Automation at Tsinghua Univeristy, advised by Prof. Jiwen Lu . Before that, I received my B.E. in the Department of Electronic Engineering, Tsinghua University. My research interests lie in computer vision, deep learning, reinforcement learning and their applications

News

Publications

  • Spherical Fractal Convolution Neural Networks for Point Cloud Recognition
    Yongming Rao, Jiwen Lu, Jie Zhou
    2019 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
    [PDF] [Supplement]

  • COIN: A Large-scale Dataset for Comprehensive Instructional Video Analysis
    Yansong Tang, Dajun Ding, Yongming Rao, Yu Zheng, Danyang Zhang, Lili Zhao, Jiwen Lu, Jie Zhou
    2019 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
    [arXiv] [Project Page]

  • Learning Discriminative Aggregation Network for Video-based Face Recognition and Person Re-identification
    Yongming Rao, Jiwen Lu, Jie Zhou
    International Journal of Computer Vision (IJCV, IF: 11.54), 2018
    [PDF] [Code]

  • Runtime Network Routing for Efficient Image Classification
    Yongming Rao, Jiwen Lu, Ji Lin, Jie Zhou
    IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI, IF: 9.45), 2018
    [PDF] [Code]

  • Learning Globally Optimized Object Detector via Policy Gradient
    Yongming Rao, Dahua Lin, Jiwen Lu, Jie Zhou
    2018 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 spotlight
    [PDF] [Supplement]

  • Runtime Neural Pruning
    Ji Lin*, Yongming Rao* (equal contribution), Jiwen Lu, Jie Zhou
    The Thirty-first Annual Conference on Neural Information Processing Systems (NIPS), 2017
    [PDF] [Code]

  • Learning Discriminative Aggregation Network for Video-Based Face Recognition
    Yongming Rao, Ji Lin, Jiwen Lu, Jie Zhou
    2017 IEEE International Conference on Computer Vision (ICCV), 2017 spotlight
    [PDF] [Code] [Supplement]

  • Attention-aware Deep Reinforcement Learning for Video Face Recognition
    Yongming Rao, Jiwen Lu, Jie Zhou
    2017 IEEE International Conference on Computer Vision (ICCV), 2017
    [PDF]

  • V-tree: Efficient KNN Search on Moving Objects with Road-Network Constraints
    Bilong Shen, Ying Zhao, Guoliang Li, Weimin Zheng, Yue Qin, Bo Yuan, Yongming Rao
    2017 IEEE 33rd International Conference on Data Engineering (ICDE), 2017
    [PDF]

Honors and Awards

  • 2017 Sensetime Undergraduate Scholarship
  • 1st place in 17th Electronic Design Contest of Tsinghua University
  • 1st place in Momenta Lane Detection Challenge

Academic Services

  • Reviewer: CVPR 2018/2019, ICML 2019, ICCV 2019, NeurIPS 2019, IJCV, ACCV 2018, ICME 2019, ICPR 2018, ICIP 2018/2019, etc.