Ph.D. Student
School of Computer Science and Engineering
Nanyang Technological University
Email: chongzhou1024 at gmail.com
I am a Ph.D. student at the MMLab@NTU advised by Prof. Chen Change Loy and Dr. 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.
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
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 Intern @ Meta AI
July 2024 -
Research Intern @ Shanghai AI Laboratory
Jan 2024 - June 2024
Research Intern @ Tencent Youtu Lab
Apr 2020 - May 2021