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 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 have also spent a year at the Tencent Youtu Lab working as a research intern (2020-2021).

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.

News

[2022-07] 2 papers accepted to ECCV 2022 (1 oral).

[2021-01] Our pedestrian detection method, NOH-NMS, won the first place at the CrowdHuman Challenge, 2020.

[2020-10] YOLACT is integrated into mmdetection.

[2020-07] 1 paper accepted to TPAMI 2020 and 1 paper accepted to ACM Multimedia 2020.

[2019-10] Our real-time instance segmentation method, YOLACT, won the "most innovative award" at the COCO Object Detection Challenge, ICCV 2019.

[2019-07] 1 paper accepted to ICCV 2019 as oral presentation.

Preprints


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


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