Wufei Ma

I am a PhD student at Johns Hopkins University, advised by Bloomberg Distinguished Professor Dr. Alan Yuille.

I obtained my B.S. with summa cum laude honor from Rensselaer Polytechnic Institute in 2020 and I had a double major in Computer Science and Mathematics. During my undergraduate years, I had worked with Prof. Bülent Yener on discriminative and generative models for microstructure images and with Prof. Lirong Xia on preference learning from natural language.

I've spent time at Meta Reality Labs, Microsoft Research Asia, AWS CV Science, and Megvii Research as a research intern.

Hiring: We are recruiting research interns at CCVL. If you are interested in the opportunities, please email me for details.

Email  /  CV  /  Instagram

profile photo
News

  • Feb  2024   One paper accepted to TMM.
  • Jan   2024   One paper accepted to ICLR 2024 as spotlight (5%).
  • Sep  2023   One paper accepted to NeurIPS 2023.
  • Sep  2023   Codebase for neural mesh models released here.
  • Jul   2023   One paper accepted to ICCV 2023.
  • Jun  2023   ICCV 2023 OOD-CV challenge released.
  • Apr 2023   Program committee of CVPR 2023 Workshop - Generative Models for Computer Vision.
  • Mar 2023   I will co-organize the OOD Generalization in Computer Vision Workshop at ICCV 2023.
  • Mar 2023   One paper accepted to CVPR 2023 as highlight.
  • Publications
    Uncertainty-Aware Deep Video Compression with Ensembles
    Wufei Ma, Jiahao Li, Bin Li, Yan Lu
    IEEE Transactions on Multimedia, 2024

    Adding 3D Geometry Control to Diffusion Models
    Wufei Ma*, Qihao Liu*, Jiahao Wang*, Angtian Wang, Yaoyao Liu, Adam Kortylewski, Alan Yuille
    (* denotes equal contribution)
    ICLR, 2024 (Spotlight, 5%)
    arXiv

    3D-Aware Visual Question Answering about Parts, Poses and Occlusions
    Xingrui Wang, Wufei Ma, Zhuowan Li, Adam Kortylewski, Alan Yuille
    NeurIPS, 2023
    arXiv / Code

    Neural Textured Deformable Meshes for Robust Analysis-by-Synthesis
    Angtian Wang*, Wufei Ma*, Alan Yuille, Adam Kortylewski
    (* denotes equal contribution)
    WACV, 2023
    arXiv

    Robust Category-Level 3D Pose Estimation from Synthetic Data
    Jiahao Yang, Wufei Ma, Angtian Wang, Xiaoding Yuan, Adam Kortylewski, Alan Yuille
    WACV, 2023
    arXiv / Summary

    Animal3D: A Comprehensive Dataset of 3D Animal Pose and Shape
    Jiacong Xu, Yi Zhang, Jiawei Peng, Wufei Ma, ..., Alan Yuille, Adam Kortylewski
    ICCV, 2023
    Project Page / arXiv / Code

    OOD-CV-v2: An extended Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images
    Bingchen Zhao, Jiahao Wang, Wufei Ma, Artur Jesslen, Siwei Yang, Shaozuo Yu, Oliver Zendel, Christian Theobalt, Alan Yuille, Adam Kortylewski
    arXiv, 2023
    arXiv
    Super-CLEVR: A Virtual Benchmark to Diagnose Domain Robustness in Visual Reasoning
    Zhuowan Li, Xingrui Wang, Elias Stengel-Eskin, Adam Kortylewski, Wufei Ma, Benjamin Van Durme, Alan Yuille
    CVPR, 2023 (Highlight, 10% of accepted papers)
    arXiv / Code / Summary

    Robust Category-Level 6D Pose Estimation with Coarse-to-Fine Rendering of Neural Features
    Wufei Ma, Angtian Wang, Alan Yuille, Adam Kortylewski
    ECCV, 2022
    arXiv / Code / Summary

    ROBIN: A Benchmark for Robustness to Individual Nuisances
    Bingchen Zhao, Shaozuo Yu, Wufei Ma, Mingxin Yu, Shenxiao Mei, Angtian Wang, Ju He, Alan Yuille, Adam Kortylewski
    ECCV, 2022 (Oral Presentation)
    arXiv / Summary

    Guided Pluralistic Building Contour Completion
    Xiaowei Zhang, Wufei Ma, Gunder Varinlioglu, Nick Rauh, Liu He, Daniel Aliaga
    The Visual Computer, 2022
    Springer / Summary

    Making Group Decisions from Natural Language-Based Preferences
    Farhad Moshin, Lei Luo, Wufei Ma, Inwon Kang, Zhibing Zhao, Ao Liu, Rohit Vaish, Lirong Xia
    COMSOC, 2021
    PDF / COMSOC, 2021 / Summary

    Image-Driven Discriminative and Generative Machine Learning Algorithms for Establishing Microstructure-Processing Relationships
    Wufei Ma, Elizabeth Kautz, Arun Baskaran, Aritra Chowdhury, Vineet Joshi, Bülent Yener, Daniel Lewis
    Journal of Applied Physics, 2020
    Project page / PDF / arXiv / AIP / Summary

    An Image-Driven Machine Learning Approach to Kinetic Modeling of a Discontinuous Precipitation Reaction
    Elizabeth Kautz*, Wufei Ma*, Saumyadeep Jana, Arun Devaraj, Vineet Joshi, Bülent Yener, Daniel Lewis
    (* denotes equal contribution)
    Materials Characterization, 2020
    PDF / Code / arXiv / ScienceDirect / Summary

    The Adoption of Image-Driven Machine Learning for Microstructure Characterization and Materials Design: A Perspective
    Arun Baskaran, Elizabeth Kautz, Aritra Chowdhary, Wufei Ma, Bülent Yener, Daniel Lewis
    Preprint, 2021
    PDF / arXiv / Summary

    Academic Service

    Reviewer
    AROW @ ECCV 2022, Pre-training Workshop @ ICML 2022, NeurIPS 2022, CVPR 2022, ICLR 2022, CVPR 2023, ICML 2023, NeurIPS 2023, WACV 2024, ICLR 2024

    Teaching

    CS661 - Computer Vision Johns Hopkins University, Spring 2024
    Graduate Course Assistant

    CS661 - Computer Vision Johns Hopkins University, Fall 2023
    Graduate Course Assistant

    CS471/671 - NLP: Self-supervised Models Johns Hopkins University, Spring 2023
    Graduate Course Assistant

    CS182 - Foundations of Computer Science Purdue University, Fall 2021
    Graduate Teaching Assistant

    Affiliations (current and previous)

    Copyright © 2017-21 Wufei Ma. Theme modified from Jon Barron's webpage.