Feng Liu

Assistant Professor
Department of Computer Science
Drexel University
liufeng2915@gmail.com; fl397@drexel.edu

Recruiting Ph.D. students and interns! I am currently seeking highly motivated Ph.D. students. If you are interested, please apply here.

Feng Liu is an Assistant Professor in the Department of Computer Science at Drexel University. Previously, he was a postdoctoral researcher at Michigan State University, working under the guidance of Prof. Xiaoming Liu.

Research interests:

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

News

Oct 6, 2025 Our paper “Person Recognition in Aerial Surveillance: A Decade Survey” is accepted by IEEE T-BIOM.
Oct 5, 2025 I was recognized as one of the ICCV 2025 Outstanding Reviewers.
Sep 2, 2025 I am serving as an Area Chair for CVPR 2026, ICLR 2026.
Jun 25, 2025 Our paper “HAMoBE” is accepted by ICCV 2025.
May 20, 2025 I am serving as an Area Chair for BMVC 2025, ACM MM 2025, FG 2025, IJCNN 2025.
Feb 26, 2025 Two papers, “SapiensID” and “AG-VPReID,” have been accepted by CVPR 2025!
Jul 1, 2024 Our paper “Open-Set Biometrics: Beyond Good Closed-Set Models” is accepted by ECCV 2024.
Jun 7, 2024 I’ll be attending CVPR 2024 in person from June 16th to 22nd. Happy to meet up!
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. ICCV
    HAMoBE: Hierarchical and Adaptive Mixture of Biometric Experts for Video-based Person ReID
    Yiyang Su*, Yunping Shi*, Feng Liu, and Xiaoming Liu
    IEEE/CVF International Conference on Computer Vision (ICCV) , 2025
    PDF
  2. arXiv
    Person Recognition at Altitude and Range: Fusion of Face, Body Shape and Gait
    Feng Liu, Nicholas Chimitt, Lanqing Guo, Jitesh Jain, Aditya Kane, Minchul Kim, Wes Robbins, Yiyang Su, Dingqiang Ye, Xingguang Zhang, Jie Zhu, Siddharth Satyakam, Christopher Perry, Stanley Chan, Arun Ross, Humphrey Shi, Zhangyang Wang, Anil Jain, and Xiaoming Liu
    arXiv preprint (arXiv) , 2025
    PDF
  3. CVPR
    AG-VPReID: A Challenging Large-Scale Benchmark for Aerial-Ground Video-based Person Re-Identification
    Huy Nguyen, Kien Nguyen, Akila Pemasiri, Feng Liu, Sridha Sridharan, and Clinton Fookes
    IEEE/CVF Computer Vision and Pattern Recognition (CVPR) , 2025
    PDF Website
  4. CVPR
    SapiensID: Foundation for Human Recognition
    Minchul Kim, Dingqiang Ye, Yiyang Su, Feng Liu, and Xiaoming Liu
    IEEE/CVF Computer Vision and Pattern Recognition (CVPR) , 2025
    PDF
  5. CVPR
    Securing the Skies: A Comprehensive Survey on Anti-UAV Methods, Benchmarking, and Future Directions
    Yifei Dong, Fengyi Wu, Sanjian Zhang, Guangyu Chen, Yuzhi Hu, Masumi Yano, Jingdong Sun, Siyu Huang, Feng Liu, Qi Dai, and Zhi-Qi Cheng
    IEEE/CVF Computer Vision and Pattern Recognition (CVPR) , 2025
    PDF
  6. ECCV
    Open-Set Biometrics: Beyond Good Closed-Set Models
    Yiyang Su, Minchul Kim, Feng Liu, Anil Jain, and Xiaoming Liu
    European Conference on Computer Vision (ECCV) , 2024
    PDF
  7. CVPR
    Distilling CLIP with Dual Guidance for Learning Discriminative Human Body Shape Representation
    Feng Liu, Minchul Kim, Zhiyuan Ren, and Xiaoming Liu
    IEEE/CVF Computer Vision and Pattern Recognition (CVPR) , 2024
    PDF
  8. CVPR
    KeyPoint Relative Position Encoding for Face Recognition
    Minchul Kim, Yiyang Su, Feng Liu, Anil Jain, and Xiaoming Liu
    IEEE/CVF Computer Vision and Pattern Recognition (CVPR) , 2024
    PDF
  9. CVPR
    TIGER: Time-Varying Denoising Model for 3D Point Cloud Generation with Diffusion Process
    Zhiyuan Ren, Minchul Kim, Feng Liu, and Xiaoming Liu
    IEEE/CVF Computer Vision and Pattern Recognition (CVPR) , 2024
    PDF