Chong Zhou 周冲


Ph.D. Student

School of Computer Science and Engineering

Nanyang Technological University

Email: chongzhou1024 at gmail.com


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Short Bio

I am a Ph.D. student at the MMLab@NTU advised by Prof. Chen Change Loy and Prof. Bo Dai (2021-now). 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.

Preprints


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.
arXiv preprint, 2024
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)
arXiv preprint, 2023
arXiv Project Page Code Demo Video





Interpret Vision Transformers as ConvNets with Dynamic Convolutions

Chong Zhou, Chen Change Loy, Bo Dai.
arXiv preprint, 2023
arXiv





Publications


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





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





Experiences


Research Scientist Intern @ Meta AI

July 2024 - Dec 2024



Research Intern @ Shanghai AI Laboratory

Jan 2024 - June 2024



Research Intern @ Tencent Youtu Lab

Apr 2020 - May 2021