Chong Zhou 周冲
Research Scientist
Meta Reality Labs
Email: chongzhou1024 at gmail.com
Research Scientist
Meta Reality Labs
Email: chongzhou1024 at gmail.com
I'm a research scientist at Meta Reality Labs working on efficient foundation models.
I was a Ph.D. student at the MMLab@NTU advised by Prof. Chen Change Loy and Prof. Bo Dai (2021-2025). Previously, I completed my Master's degree from UC Davis advised by Prof. Yong Jae Lee (2018-2020), and my Bachelor's degree from Nankai University advised by Prof. Ming-Ming Cheng (2014-2018).
I am broadly interested in computer vision and related problems in machine learning. My previous research focuses on instance segmentation and object detection. Currently, I'm particularly interested in foundation model optimization.
Interpret Vision Transformers as ConvNets with Dynamic Convolutions
Chong Zhou, Chen Change Loy, Bo Dai.
arXiv preprint, 2023
arXiv
Vision Transformers with Self-Distilled Registers
Yinjie Chen*, Zipeng Yan*, Chong Zhou, Bo Dai, Andrew F. Luo.
(*equal contribution)
Advances in Neural Information Processing Systems (NeurIPS), 2025 (Spotlight)
arXiv
EdgeTAM: On-Device Track Anything Model
Chong Zhou, Chenchen Zhu, Yunyang Xiong, Saksham Suri, Fanyi Xiao, Lemeng Wu, Raghuraman Krishnamoorthi, Bo Dai, Chen Change Loy, Vikas Chandra, Bilge Soran.
Conference on Computer Vision and Pattern Recognition (CVPR), 2025
arXiv
Code
Demo
Efficient Track Anything
Yunyang Xiong, Chong Zhou, Xiaoyu Xiang, Lemeng Wu, Chenchen Zhu, Zechun Liu, Saksham Suri, Balakrishnan Varadarajan, Ramya Akula, Forrest Iandola, Raghuraman Krishnamoorthi, Bilge Soran, Vikas Chandra.
International Conference on Computer Vision (ICCV), 2025
arXiv
Project Page
Code
Video
EdgeSAM: Prompt-In-the-Loop Distillation for On-Device Deployment of SAM
Chong Zhou, Xiangtai Li, Chen Change Loy*, Bo Dai.
(*corresponding author)
International Journal of Computer Vision (IJCV), 2025
arXiv
Project Page
Code
Demo
Video
Open-Vocabulary SAM: Segment and Recognize Twenty-thousand Classes Interactively
Haobo Yuan, Xiangtai Li, Chong Zhou, Yining Li, Kai Chen, Chen Change Loy.
European Conference on Computer Vision (ECCV), 2024
arXiv
Project Page
Code
Rubik's Cube: High-Order Channel Interactions with a Hierarchical Receptive Field
Naishan Zheng, Man Zhou, Chong Zhou, Chen Change Loy.
Advances in Neural Information Processing Systems (NeurIPS), 2023
PDF
Code
Extract Free Dense Labels from CLIP
Chong Zhou, Chen Change Loy, Bo Dai.
European Conference on Computer Vision (ECCV), 2022 (Oral)
arXiv
Project Page
Code
PAC-Net: Highlight Your Video via History Preference Modeling
Hang Wang, Penghao Zhou, Chong Zhou, Zhao Zhang, Xing Sun.
European Conference on Computer Vision (ECCV), 2022
PDF
NON-NMS: Improving Pedestrian Detection by Nearby Objects Hallucination
Penghao Zhou, Chong Zhou, Pai Peng, Junlong Du, Xing Sun,
Xiaowei Guo, Feiyue Huang.
ACM International Conference on Multimedia (ACM MM), 2020
First Place, CrowdHuman Challenge, 2020
arXiv
Code
YOLACT++: Better Real-time Instance Segmentation
Daniel Bolya*, Chong Zhou*, Fanyi Xiao, Yong Jae Lee.
(*equal contribution)
Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
arXiv
Code
YOLACT: Real-time Instance Segmentation
Daniel Bolya, Chong Zhou, Fanyi Xiao, Yong Jae Lee.
International Conference on Computer Vision (ICCV), 2019 (Oral)
Most Innovative Award, COCO Object Detection Challenge, 2019
arXiv
Code
Research Scientist @ Meta
Apr 2025 - Now
Research Scientist Intern @ Meta
July 2024 - Dec 2024
Research Intern @ Shanghai AI Laboratory
Jan 2024 - June 2024
Research Intern @ Tencent Youtu Lab
Apr 2020 - May 2021