Zheyuan Zhou

Zhejiang University Ph.D. student, Zhejiang University

I am currently a first-year Ph.D. student at Zhejiang University. Before that, I obtained my Master's degree at Fudan University in 2023. My research interests lie in Computer Vision and Machine Learning, with special emphasis on Generative AI and 3D Perception.

Experience
  • Huawei Noah's Ark Lab

    Huawei Noah's Ark Lab

    Research Intern Dec. 2021 - Dec. 2022

  • Baidu Research

    Baidu Research

    Research Intern Mar. 2021 - Nov. 2021

Honors & Awards
  • Outstanding Graduates, Shanghai 2023
  • Provincial Government Scholarship, Zhejiang 2020
Selected Publications (view all )
R3D-AD: Reconstruction via Diffusion for 3D Anomaly Detection
R3D-AD: Reconstruction via Diffusion for 3D Anomaly Detection

Zheyuan Zhou*, Le Wang*, Naiyu Fang, Zili Wang, Lemiao Qiu, Shuyou Zhang(* equal contribution)

European Conference on Computer Vision (ECCV) 2024

R3D-AD: Reconstruction via Diffusion for 3D Anomaly Detection
R3D-AD: Reconstruction via Diffusion for 3D Anomaly Detection

Zheyuan Zhou*, Le Wang*, Naiyu Fang, Zili Wang, Lemiao Qiu, Shuyou Zhang(* equal contribution)

European Conference on Computer Vision (ECCV) 2024

Learning Ego 3D Representation as Ray Tracing
Learning Ego 3D Representation as Ray Tracing

Jiachen Lu, Zheyuan Zhou, Xiatian Zhu, Hang Xu, Li Zhang

European Conference on Computer Vision (ECCV) 2022

Learning Ego 3D Representation as Ray Tracing
Learning Ego 3D Representation as Ray Tracing

Jiachen Lu, Zheyuan Zhou, Xiatian Zhu, Hang Xu, Li Zhang

European Conference on Computer Vision (ECCV) 2022

SGM3D: Stereo Guided Monocular 3D Object Detection
SGM3D: Stereo Guided Monocular 3D Object Detection

Zheyuan Zhou*, Liang Du*, Xiaoqing Ye*, Zhikang Zou, Xiao Tan, Li Zhang, Xiangyang Xue, Jianfeng Feng(* equal contribution)

IEEE Robotics and Automation Letters (RA-L) 2022

SGM3D: Stereo Guided Monocular 3D Object Detection
SGM3D: Stereo Guided Monocular 3D Object Detection

Zheyuan Zhou*, Liang Du*, Xiaoqing Ye*, Zhikang Zou, Xiao Tan, Li Zhang, Xiangyang Xue, Jianfeng Feng(* equal contribution)

IEEE Robotics and Automation Letters (RA-L) 2022

All publications