Feng Cheng
About me
I am currently a Ph.D student in Department of Computer Science at UNC at Chapel Hill, advised by Prof. Gedas Bertasius. My current research interests lie in multimodal video understanding, including video-language (VidL) pretraining, video LLM, video continual learning, and video generation.
Prior to joining Gedas's Group, I worked with Prof. Dinggang Shen and Prof. Pew-Thian Yap at UNC on medical imaging. I obtained both my B.S. degree in Information Security in 2016 and M.S. degree in ECE in 2019 at Shanghai JiaoTong University. During my M.S. study, I worked with Prof. Shilin Wang.
Experiences
- 2024/08 - present Bytedance on foundation VideoGen.
- 2023/01 - 2024/07 Visiting Researcher at Meta FAIR. Mentor: Lorenzo Torresani
- 2022/05 - 2022/08 Applied Scientist Intern at Amazon AWS AI.
Mentor: Bing Shuai & Mingze Xu - 2021/05 - 2021/08 Applied Scientist Intern at Amazon AWS AI. Mentor: Mingze Xu & Yuanjun Xiong
Publications
Check recent publications on my Google Scholar.
4DIFF: 3D-Aware Diffusion Model for Third-to-First Viewpoint Translation
Feng Cheng, Mi (Romy) Luo, Huiyu Wang, Alex Dimakis, Lorenzo Torresani, Gedas Bertasius, Kristen Grauman
ECCV 2024DAM: Dynamic Adapter Merging for Continual Video QA Learning
Feng Cheng, Ziyang Wang, Yi-Lin Sung, Yan-Bo Lin, Mohit Bansal, Gedas Bertasius
Preprint [code]Loconet: Long-short context network for active speaker detection
Xizi Wang, Feng Cheng, Gedas Bertasius, David Crandall
CVPR 2024 [code]Ego-exo4d: Understanding Skilled Human Activity from First-and Third-Person Perspectives
Kristen Grauman, Andrew Westbury, Lorenzo Torresani, Kris Kitani,
Feng Cheng, ... , Michael Wray
CVPR 2024 (Oral) [project website] [blog] [video]Unified Coarse-to-Fine Alignment for Video-Text Retrieval
Ziyang Wang, Yi-Lin Sung, Feng Cheng, Gedas Bertasius, Mohit Bansal
ICCV 2023 [Code]VindLU: A Recipe for Effective Video-and-Language Pretraining
Feng Cheng, Xizi Wang, Jie Lei, David Crandall, Mohit Bansal, Gedas Bertasius
CVPR 2023 [Code]TALLFormer: Temporal Action Localization with Long-memory Transformer
Feng Cheng, Gedas Bertasius
ECCV 2022 [Code]Stochastic Backpropagation: A Memory Efficient Strategy for Training Video Models
Feng Cheng, Mingze Xu, Yuanjun Xiong, Hao Chen, Xinyu Li, Wei Li, Wei Xia
CVPR 2022 (Oral) [Code]High-Resolution 3D Magnetic Resonance Fingerprinting With a Graph Convolutional Network
Feng Cheng, Yilin Liu, Yong Chen, Pew-Thian Yap
IEEE Transactions on Medical Imaging (2022)Spatio-Temporal Fusion based Convolutional Sequence Learning for Lip Reading
Xingxuan Zhang, Feng Cheng, and Shi-Lin Wang
ICCV 2019
- Acceleration of High-Resolution 3D MR Fingerprinting via a Graph Convolutional Network
Feng Cheng, Yong Chen, Xiaopeng Zong, Weili Lin, Pew-Thian Yap, Dinggang Shen
MICCAI 2020
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