معرفی
Feng Liu is an Assistant Professor in the Department of Computer Science at Drexel University's College of Computing & Informatics (CCI). He previously served as a Postdoctoral Researcher at Michigan State University's Department of Computer Science and Engineering. His research spans computer vision, machine learning, and biometric recognition, with a focus on 3D scene understanding, generative AI, and human-AI interaction.
Research Interests:
- 3D Computer Vision: 3D object/scene understanding, 3D generation, VR/AR, 3D vision+language understanding
- 3D Human Digitization: Modeling, reconstruction, rendering, biomechanics
- Generative AI: Explainability, generalization, controllability in generative models, DeepFake detection
- Biometric Recognition: Face and gait recognition, person re-identification
- AI + X: Applications in Education and Healthcare
Publication Trends: Dr. Liu's recent publications demonstrate a strong focus on advancing biometric recognition systems, particularly in open-set scenarios and video-based person re-identification. His work integrates 3D vision, diffusion models, and large-scale benchmarking, with increasing emphasis on real-world challenges such as aerial-ground integration, long-range recognition, and controllable synthetic data generation for training robust models.
Scientific Recognition:
- Area Chair for BMVC 2025, ACM MM 2025, FG 2025, IJCNN 2025
- Area Chair for FG 2024
Advising and Engagement: Dr. Liu is actively recruiting PhD students and interns, indicating an expanding research group. He regularly presents at major conferences including CVPR, NeurIPS, and WACV, and participates in workshops such as ELFA, demonstrating active engagement with the research community. His collaborations span multiple institutions, including Michigan State University, Queensland University of Technology, and others.
Labs and Teams: While specific lab names are not mentioned in the provided texts, Dr. Liu leads a research group focused on computer vision and AI, with projects involving 3D reconstruction, biometrics, and generative models. His work on AG-VPReID and HAMoBE suggests leadership in developing large-scale benchmarks and hierarchical recognition systems.
