Fangyi Chen
Ph.D. Candidate
Dept. of Electrical and Computer Engineering
Carnegie Mellon University

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About Me

I am a Ph.D. candidate in the Department of Electrical and Computer Engineering at Carnegie Mellon since spring 2020. At CMU, I am affiliated with the CyLab Security & Privacy Institute and advised by Prof. Marios Savvides. I obtained my M.S. degree from the Department of Electrical and Computer Engineering at PITT in 2018, under the advicement of Prof. Zhi-Hong Mao. I got my B.E. degree in Electrical Engineering and Automation at NCEPU in 2017.

My research interest lies in deep learning and computer vision, with a focus on open-world scene understanding. I am currently working on vision-language models and open-vocabulary object detection. I am lucky to have opportunities to work with Ker-Jiun Wang, Yutong Zheng, Dipan Pal, Raied Aljadaany, and Chenchen Zhu.

Publications
Enhanced Training of Query-Based Object Detection via Selective Query Recollection
Fangyi Chen, Han Zhang, Kai Hu, Yukai Huang, Chenchen Zhu and Marios Savvides
Proceedings of the IEEE conference on computer vision and pattern recognition (CVPR), 2023
paper
code
Unitail: Detecting, Reading, and Matching in Retail Scene
Fangyi Chen, Han Zhang, Zaiwang Li, Jiachen Dou, Shentong Mo, Hao Chen, Yongxin Zhang, Uzair Ahmed, Chenchen Zhu and Marios Savvides
European conference on computer vision (ECCV), 2022
paper
project website
code
Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection
Chenchen Zhu, Fangyi Chen, Uzair Ahmed, Zhiqiang Shen and Marios Savvides
Proceedings of the IEEE conference on computer vision and pattern recognition (CVPR), 2021
paper
Soft Anchor-Point Object Detection
Chenchen Zhu, Fangyi Chen, Zhiqiang Shen and Marios Savvides
European conference on computer vision (ECCV), 2020
paper
NCMS: Towards accurate anchor free object detection through 𝓁2 norm calibration and multi-feature selection
Fangyi Chen, Chenchen Zhu, Zhiqiang Shen, Han Zhang and Marios Savvides
Computer Vision and Image Understanding (CVIU), Volumn 200, 103050
paper
Solving missing-annotation object detection with background recalibration loss
Han Zhang, Fangyi Chen, Zhiqiang Shen, Qiqi Hao, Chenchen Zhu and Marios Savvides
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020
paper
code
AI system and method for Retail
US Patent App. 17/408,778
US Patent App. 17/425,293
Academic Services
    Conference Reviewer:
  •   • CVPR   • ICCV   • ECCV   • ICLR   • ICML
    Journal Reviewer:
  •   • TIP   • PR   • TGRS
Teaching
    Graduate Teaching Assistant @ Pattern Recognition Theory, CMU 2022 Fall
    Graduate Teaching Assistant @ Deep Learning Based Computer Vision and Pattern Recognition, CMU 2023 Fall