Ziyue Feng

Ziyue Feng

Ph.D Student

Clemson University


Ziyue Feng is a Ph.D student at Clemson University, currently focusing on Depth Estimation and Dynamic Objects in 3D Computer Vision.

He is actively seeking a 2023 research internship in 3D Computer Vision (Depth Prediction, 3D Reconstruction, Implicit Representation/NeRF).


  • Depth Estimation
  • Dynamic Objects in 3D Computer vision
  • 3D Reconstruction


  • PhD in Computer Vision, 2019 - Present

    Clemson University

  • BEng in Computer Science, 2015 - 2019

    Xi'an Jiaotong University



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.



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