Ziyue Feng

Ziyue Feng

Ph.D Student

Clemson University

Biography

Ziyue Feng is a Ph.D. student at Clemson University. His research interests include Computer vision, Machine Learning, and Autonomous Driving. He is now focused on Depth Estimation and Dynamic Objects in 3D Computer Vision.

Interests

  • Depth Estimation
  • Dynamic Objects in 3D Computer vision
  • Autonomous Driving

Education

  • PhD in Computer Vision, 2019 - Present

    Clemson University

  • BEng in Computer Science, 2015 - 2019

    Xi'an Jiaotong University

Publications

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Disentangling Object Motion and Occlusion for Unsupervised Multi-frame Monocular Depth

[ECCV 2022] Solve the dynamic object problem in multi-frame monocular depth prediction.

Advancing Self-supervised Monocular Depth Learning with Sparse LiDAR

[CoRL 2021] Use sparse LiDAR to improve depth prediction

PSE-Match: A Viewpoint-Free Place Recognition Method With Parallel Semantic Embedding

[IEEE T-ITS 2021] A viewpoint invariant point cloud global localization descriptor.

Model-based decision making with imagination for autonomous parking

[IEEE IV 2018] Improved RRT for autonomous parking motion planning.

Experience

 
 
 
 
 

Research Assistant

Clemson University

Sep 2019 – Present South Carolina
  • Computer Vision
  • Autonomous Driving
 
 
 
 
 

Research Intern

MEGVII (FACE++) Research

Jan 2019 – May 2019
  • Computer Vision
  • Advanced Driving Asistant Systems
 
 
 
 
 

Research Intern

Institute of Artifitial Intelligence and Robotics (IAIR at XJTU)

Oct 2016 – Jan 2019
  • Computer Vision
  • Motion Planning

Contact