Shuqin Xie   I am a first year MSCV student at CMU. Prior to that, I spent one year interning at Uber ATG working on self-driving research with Prof. Raquel Urtasun. Before joining Uber, I was a research assistant at CUHK working with Prof. Jiaya Jia. During my undergraduate, I joined Prof. Cewu Lu's lab and developed several projects for human pose estimation. I obtained my B.S.E. from Shanghai Jiao Tong University at July 2019. My research interests focus on Computer Vision, Robotics and Machine Learning. Please contact me at shuqinx [at] andrew.cmu.edu and check out my curriculum vitae here.

Education

• Carnegie Mellon University, Pittsburgh, PA
  Master of Science on Computer Vision | August 2020 to December 2021
  
• Shanghai Jiao Tong University, Shanghai, China
  Bachelor of Science in Engineering | September 2015 to June 2019
  Advisor: Prof. Cewu Lu

Experiences

• Uber Advanced Technologies Group (Uber ATG), Toronto
  Research Intern | July 2019 to July 2020
  Advisor: Prof. Raquel Urtasun
• The Chinese University of Hong Kong, Hong Kong
  Research Assistant | March 2018 to March 2019
  Advisor: Prof. Jiaya Jia

Publications

• RMPE: Regional Multi-person Pose Estimation
  Hao-Shu Fang, Shuqin Xie, Yu-Wing Tai, Cewu Lu
  International Conference on Computer Vision , (ICCV), 2017
  
• Environment Upgrade Reinforcement Learning for Non-differentiable Multi-stage Pipelines
  Shuqin Xie, Zitian Chen, Chao Xu, Cewu Lu
  IEEE Conference on Computer Vision and Pattern Recognition, (CVPR), 2018 (Spotlight)
  
• TOPNet: Thinking Outside the Bounding Box
  Shuqin Xie, Chao Xu, Shu Liu, Alan Yuille, Jiaya Jia
  Technical Report, 2019
  
• Post-NMS Training Strategy for Object Detection
  Lu Qi*, Shuqin Xie*, Shu Liu, Jiaya Jia, Yue Zhou
  Technical Report, 2019