Fengyuan Yang

Fengyuan Yang

PhD. student in Computer Science

SoC, NUS

Biography

I am currently a Ph.D. candidate at the CVML group of the National University of Singapore (NUS), supervised by Prof. Angela Yao. Before joining NUS, I earned both my Master’s and Bachelor’s degrees at the VIPL research group of the Institute of Computing Technology (ICT), University of Chinese Academy of Sciences (UCAS), under the guidance of Prof. Xilin Chen and Prof. Ruiping Wang.

My research interests encompass the field of Computer Vision, with a particular emphasis on Human Pose Estimation during my Ph.D. Previously, during my Master’s studies, I explored the incorporation of semantic knowledge in Few-Shot Learning.

Download my resumé.

Interests
  • Computer Vision
  • Human Pose Estimation
  • Few-Shot Learning
Education
  • PhD in CS, 2022-Present

    School of Computing (SoC), National University of Singapore (NUS)

  • MSE in CS, 2019-2022

    Institute of Computing Technology (ICT), University of Chinese Academy of Sciences (UCAS)

  • Exchange Program, 2018

    École Polytechnique Fédérale de Lausanne (EPFL)

  • B.Eng in CS, 2015-2019

    University of Chinese Academy of Sciences (UCAS)

News

[Feb. 27, 2024]: One paper was accepted to CVPR 2024!

[Oct. 11, 2022]: One paper was accepted to WACV 2023!

[Aug. 09, 2022]: I joined CVML research group, SoC, NUS as a PhD. student!

[Oct. 13, 2021]: One paper was accepted to WACV 2022!

[Jun. 14, 2020]: Winner of “NI” Track in CVPR2020 CLVision Workshop Challenge!

[Sept. 1, 2019]: I joined the VIPL research group, ICT, CAS as a Master student!

Projects

LoCoBot Project
This year we upgraded our robot to LoCoBot, a mainstream robot for robotics research, and added additional features to this Robot Vision Exploration Project. I am still the designer and maintainer of the customized communication framework and the demo website.
Loomo Project
In this project we are building intelligent system based on a real robot (i.e., Loomo). I am the designer and maintainer of the customized communication framework that transfers data between Loomo and functional modules (e.g., 3D Reconstruction, Scene Graph, etc.) based on ROS.

Skills

Programming

Python, C/C++, Verilog

Data Science

Scikit-Learn, Pandas, NumPy, Matplotlib
Common Machine Learning Models

Robotics

ROS, PyRobot, LoCoBot