Jiashi Feng
I am a research scientist at TikTok. My research interest lies in learning intelligent models from visual data (images/videos) for understanding the complex world. My research topics include deep learning model architectures (coordinate attention, T2T-ViT, dual-path networks, DeepViT, OctConv, Metaformer), visual data representation learning (decoupled representation, source-free representation adaption) and visual generative models (MagicVideo-V1/V2, MagicAnimate).
I am leading a computer vision fundamental research team. We are hiring. Please email me if you have interest.
Prior to TikTok, I was an assistant professor at the ECE department with NUS and led the learning and vision group. I have supervised/co-supervised near 20 PhD students.
Recent Publications
(check latest tech reports at Google scholar and open source projects at GitHub)
MagicAnimate: Temporally Consistent Human Image Animation using Diffusion Model
Zhongcong Xu, Jianfeng, Zhang, Jun Hao Liew, Hanshu Yan, Jia-Wei Liu, Chenxu Zhang, Jiashi Feng, Mike Zheng Shou
ArXiv, Code, Project page, Demo
CVPR 2024Depth Anything: Unleashing the Power of Large-scale Unlabeled Data
Lihe Yang, Bingyi Kang, Zilong Huang, Xiaogang Xu, Jiashi Feng, Hengshuang Zhao
ArXiv, Code, Project page, Demo
CVPR 2024PixelLM: Pixel Reasoning with Large Multimodal Model
Zhongwei Ren, Zhicheng Huang, Yunchao Wei, Yao Zhao, Dongmei Fu, Jiashi Feng, Xiaojie Jin
ArXiv, Code, Project page
CVPR 2024Video Recognition in Portrait Mode
Mingfei Han, Linjie Yang, Xiaojie Jin, Jiashi Feng, Xiaojun Chang, Heng Wang
ArXiv, Code, Project page
CVPR 2024Vista-LLaMA: Reliable Video Narrator via Equal Distance to Visual Tokens
Fan Ma, Xiaojie Jin, Heng Wang, Yuchen Xian, Jiashi Feng, Yi Yang
ArXiv, Code, Project page
CVPR 2024MV-Adapter: Exploring Parameter Efficient Learning for Video Text Retrieval
Bowen Zhang, Xiaojie JIn, Weibo Gong, Kai Xu, Xueqing Deng, Peng Wang, Zhao Zhang, Xiaohui Shen, Jiashi Feng
ArXiv, Code
CVPR 2024
Academic Service
Program Chair: ICMR 2017
Area Chair: CVPR 2022, ICML 2021, ICLR 2021, NeurIPS 2020-2022
Award and Honors
Best Paper Finalist, CVPR 2021
Best Grand Challenge Award, ACM Multimedia Conference, 2020
Young Researcher Award, NUS, 2020
Best Student Paper, ACM Multimedia Conference, 2018
Innovators Under 35 Asia, MIT Technology Review, 2018
Early Career Research Award, NUS, 2017
Winner Award, ILSVRC 2017 for object localization, 2017
Winner Award, MS-Celeb-1M face recognition, 2017
Guo Moruo Fellowship, USTC, 2007 (rank 1/120 over 4 years)