Feng Liu

Postdoctoral Researcher
Computer Vision Lab, Department of Computer Science and Engineering
Michigan State University, East Lansing
Office: Room 3315, Engineering Building, MSU
liufeng2915@gmail.com

I will join Drexel University as an Assistant Professor in September 2024!

Recruiting Ph.D. students and interns! I am currently seeking highly motivated Ph.D. students for Fall 2024, Spring 2025 and Fall 2025. If you are interested, please send me your CV, transcripts, and a brief summary of your research experience via email.

I’m currently a postdoctoral researcher at Michigan State University, working under the guidance of Prof. Xiaoming Liu. I previously graduated with Ph. D. degree in Computer Science from Sichuan University.

Research interests:

  • 3D Computer Vision: 3D object/scene understanding; 3D generation; 3D vision+language understanding
  • Generative AI: Explainability, generalization and controllability in generative models; DeepFake detection
  • 3D Human Digitization: Modeling, reconstruction and rendering
  • Biometric Recognition: Face and gait recognition; Person re-identification

News

Feb 26, 2024 Three papers are accepted by CVPR 2024!
Dec 30, 2023 I’ll be attending WACV 2024 in person from January 4th to 8th, presenting a poster on our FarSight paper. Additionally, I will participate as a speaker at the Efficient Learning for Face Analysis (ELFA) workshop, delivering a talk on ‘AIGC for Biometrics’.
Dec 5, 2023 I will be attending NeurIPS 2023 in person from December 13th to 16th. Feel free to talk; I’ll be happy to engage!
Aug 15, 2023 Our paper “FarSight: A Physics-Driven Whole-Body Biometric System at Large Distance and Altitude” is accepted by WACV 2024.
Jul 14, 2023 Our paper “Learning Clothing and Pose Invariant 3D Shape Representation for Long-Term Person Re-Identification” is accepted by ICCV 2023.
Jul 4, 2023 I am serving as an Area Chair for FG 2024.
Feb 27, 2023 Our paper “DCFace: Synthetic Face Generation with Dual Condition Diffusion Model” is accepted by CVPR 2023.
Feb 2, 2023 Our paper “Learning Implicit Functions for Dense 3D Shape Correspondence of Generic Objects ” is published in IEEE TPAMI.
Sep 14, 2022 Our paper “Cluster and Aggregate: Face Recognition with Large Probe Set” is accepted by NeurIPS 2022.
Jul 8, 2022 Our papers “2D GANs Meet Unsupervised Single-View 3D Reconstruction” and “Controllable and Guided Face Synthesis for Unconstrained Face Recognition” are accepted by ECCV 2022.
Sep 28, 2021 Our paper “Voxel-based 3D Detection and Reconstruction of Multiple Objects from a Single Image” is accepted by NeurIPS 2021.
Sep 1, 2021 Our paper “Shape My Face: Registering 3D Face Scans by Surface-to-Surface Translation” is published in IJCV.
Mar 3, 2021 Our paper “Fully Understanding Generic Objects: Modeling, Segmentation, and Reconstruction” is accepted by CVPR 2021.
Sep 25, 2020 Our paper “Learning Implicit Functions for Topology-Varying Dense 3D Shape Correspondence” is accepted by NeurIPS 2020 as oral presentation (1.1% acceptance rate).

Selected Publications

  1. WACV
    FarSight: A Physics-Driven Whole-Body Biometric System at Large Distance and Altitude
    Feng Liu, Ryan Ashbaugh, Nicholas Chimitt, Najmul Hassan, Ali Hassani, Ajay Jaiswal, Minchul Kim, Zhiyuan Mao, Christopher Perry, Zhiyuan Ren, Yiyang Su, Pegah Varghaei, Kai Wang, Xingguang Zhang, Stanley Chan, Arun Ross, Humphrey Shi, Zhangyang Wang, Anil Jain, and Xiaoming Liu
    IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) , 2024
    PDF
  2. ICCV
    Learning Clothing and Pose Invariant 3D Shape Representation for Long-Term Person Re-Identification
    Feng Liu, Minchul Kim, Ziang Gu, Anil Jain, and Xiaoming Liu
    IEEE/CVF International Conference on Computer Vision (ICCV) , 2023
    PDF
  3. CVPR
    DCFace: Synthetic Face Generation with Dual Condition Diffusion Model
    Minchul Kim, Feng Liu, Anil Jain, and Xiaoming Liu
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , 2023
    PDF Code
  4. TPAMI
    Learning Implicit Functions for Dense 3D Shape Correspondence of Generic Objects
    Feng Liu, and Xiaoming Liu
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) , 2023
    PDF Website
  5. TPAMI, Under Review
    The State of Aerial Surveillance: A Survey
    Kien Nguyen, Clinton Fookes, Sridha Sridharan, Yingli Tian, Feng Liu, Xiaoming Liu, and Arun Ross
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI, Under Review) , 2022
    PDF
  6. NeurIPS
    Cluster and Aggregate: Face Recognition with Large Probe Set
    Minchul Kim, Feng Liu, Anil K Jain, and Xiaoming Liu
    Advances in Neural Information Processing Systems (NeurIPS) , 2022
    PDF Code Website
  7. ECCV
    2D GANs Meet Unsupervised Single-View 3D Reconstruction
    Feng Liu, and Xiaoming Liu
    European Conference on Computer Vision (ECCV) , 2022
    PDF Code Website
  8. ECCV
    Controllable and Guided Face Synthesis for Unconstrained Face Recognition
    Feng Liu, Minchul Kim, Anil Jain, and Xiaoming Liu
    European Conference on Computer Vision (ECCV) , 2022
    PDF Code Website
  9. TPAMI
    On Learning Disentangled Representations for Gait Recognition
    Ziyuan Zhang, Luan Tran, Feng Liu, and Xiaoming Liu
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) , 2022
    PDF Code Website
  10. IJCV
    Shape My Face: Registering 3D Face Scans by Surface-To-Surface Translation
    Mehdi Bahri, Eimear O’Sullivan, Shunwang Gong, Feng Liu, Xiaoming Liu, Michael M Bronstein, and Stefanos Zafeiriou
    International Journal of Computer Vision (IJCV) , 2021
    PDF Code
  11. NeurIPS
    Voxel-based 3D Detection and Reconstruction of Multiple Objects from a Single Image
    Feng Liu, and Xiaoming Liu
    Advances in Neural Information Processing Systems (NeurIPS) , 2021
    PDF Code Website
  12. CVPR
    Fully Understanding Generic Objects: Modeling, Segmentation, and Reconstruction
    Feng Liu, Luan Tran, and Xiaoming Liu
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , 2021
    PDF Code Website
  13. TPAMI
    Joint Face Alignment and 3D Face Reconstruction with Application to Face Recognition
    Feng Liu, Qijun Zhao, Xiaoming Liu, and Dan Zeng
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) , 2020
    PDF
  14. NeurIPS Oral
    Learning Implicit Functions for Topology-Varying Dense 3D Shape Correspondence
    Feng Liu, and Xiaoming Liu
    Advances in Neural Information Processing Systems (NeurIPS Oral) , 2020
    PDF Code Website
  15. CVPR
    On the Detection of Digital Face Manipulation
    Feng Liu*, Hao Dang*, Joel Stehouwer*, Xiaoming Liu, and Anil K Jain
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , 2020
    PDF Code Website
  16. ICCV Oral
    3D Face Modeling from Diverse Raw Scan Data
    Feng Liu, Luan Tran, and Xiaoming Liu
    IEEE/CVF International Conference on Computer Vision (ICCV Oral) , 2019
    PDF Code Website
  17. CVPR
    Towards High-fidelity Nonlinear 3D Face Morphable Model
    Luan Tran, Feng Liu, and Xiaoming Liu
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , 2019
    PDF Code Website
  18. CVPR
    Disentangling Features in 3D Face Shapes for Joint Face Reconstruction and Recognition
    Feng Liu, Ronghang Zhu, Dan Zeng, Qijun Zhao, and Xiaoming Liu
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , 2018
    PDF
  19. IJCB
    Multi-Dim: A Multi-Dimensional Face Database Towards the Application of 3D Technology in Real-World Scenarios
    Feng Liu, Jun Hu, Jianwei Sun, Yang Wang, and Qijun Zhao
    IEEE International Joint Conference on Biometrics (IJCB) , 2017
    PDF
  20. ECCV Spotlight
    Joint Face Alignment and 3D Face Reconstruction
    Feng Liu, Dan Zeng, Qijun Zhao, and Xiaoming Liu
    European Conference on Computer Vision (ECCV Spotlight) , 2016
    PDF