Chengzhi Cao

曹成志

University of Science and Technology of China

Email: chengzhicao@mail.ustc.edu.cn

Address: 443 Huangshan Road, Hefei, China

Biography

I am a coming PhD student in School of Computer Science, Carnegie Mellon University. I am currently studying for a master's degree in department of automation, University of Science and Technology of China (USTC), advised by Xueyang Fu and Zheng-jun Zha. I obatained my B. Eng. degree (GPA:3.86/4.00, rank 1/38) in Electrical Engineering and Automation, South China University of Technology (SCUT) in 2021.

My research interests focus on computer vision, especially behavior modeling, logic learning and low-level vision (deblurring, super-resolution and deraining).

I’m open to any kinds of collaboration. Please feel free to contact me directly through email.

News

Publications

(^ denotes equal contribution, * denotes corresponding authors)
  • Enhancing Human-AI Collaboration Through Logic-Guided Reasoning
    [pdf] [code] [project page]
    Chengzhi Cao, Yinghao Fu, Ruimao Zhang, Shuang Li*
    International Conference on Learning Representations (ICLR Accept)

  • Discovering Intrinsic Spatial-Temporal Logic Rules to Explain Human Actions
    [pdf] [code] [project page] [video] [slides] [poster]
    Chengzhi Cao, Chao Yang, Ruimao Zhang, Shuang Li*
    Conference on Neural Information Processing Systems (NeurIPS Accept)

  • Event-guided Person Re-Identification via Sparse-Dense Complementary Learning
    [pdf] [code] [project page] [video] [slides] [poster]
    Chengzhi Cao, Xueyang Fu*, Hongjian Liu, Yukun Huang, Kunyu Wang, Jiebo Luo, Zheng-jun Zha
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR Accept)

  • Event-guided Video Restoration with Spiking-Convolutional Architecture
    [pdf] [code] [project page]
    Chengzhi Cao, Xueyang Fu*, Yurui Zhu, Zhijing Sun, Zheng-jun Zha
    IEEE Transactions on Neural Networks and Learning Systems (TNNLS Accept, IF=10.4)

  • Event-driven Video Deblurring via Spatio-Temporal Relation-Aware Network
    [pdf] [code] [project page] [video] [slides] [poster]
    Chengzhi Cao, Xueyang Fu*, Yurui Zhu, Gege Shi, Zheng-jun Zha
    International Joint Conferences on Artificial Intelligence Organization (IJCAI Oral paper, Acceptance Rate < 3.75%)

  • Generalized UAV Object Detection via Frequency Domain Disentanglement
    [pdf]
    Kunyu Wang, Xueyang Fu*, Hongjian Liu, Yukun Huang, Chengzhi Cao, Gege Shi, Zheng-jun Zha
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR Accept)

  • Single Image Shadow Detection via Complementary Mechanism
    [pdf] [code]
    Yurui Zhu, Xueyang Fu*, Chengzhi Cao, Xi Wang, Qibin Sun, Zheng-jun Zha
    Proceedings of the 30th ACM International Conference on Multimedia (ACM MM Accept)

  • Alleviating Spatial Misalignment and Motion Interference for UAV-based Video Recognition
    [pdf]
    Gege Shi, Xueyang Fu*, Chengzhi Cao, Zheng-jun Zha
    Proceedings of the 31st ACM International Conference on Multimedia (ACM MM Accept)

  • Neuromorphic Event Signal-Driven Network for Video De-raining
    [pdf]
    Chengjie Ge, Xueyang Fu*, Peng He, Kunyu Wang, Chengzhi Cao, Zheng-jun Zha
    Proceedings of the AAAI Conference on Artificial Intelligence (AAAI Accept)

Competitions

Third Prize

Third Prize

Internship


2021.2 - 2021.6

  • Tencent Music Entertainment
    Algorithms Engineer
    Topic: video super-resolution, video deblurring, object detection
    Advisors: Prof. Kwok Wai Hung and Simon Lui


2021.6 - 2021.11

  • Baidu Cognitive Computing Lab (CCL)
    Research Assistant
    Topic: behavior modelling, physical simulator
    Advisors: Dr. Weifu Wang

Awards

  • National Scholarship (top1%, highest scholarship from Ministry of Education of China) 2018
  • National Scholarship (top1%, highest scholarship from Ministry of Education of China) 2019
  • National Scholarship (top1%, highest scholarship from Ministry of Education of China) 2020
  • National Scholarship (top1%, highest scholarship from Ministry of Education of China) 2023
  • Top Undergraduate Student Award (highest honor of undergraduates, only 10 winners) 2021
  • Outstanding Member of Student Union (top 5%) 2021
  • Outstanding Graduate (top 5%) 2024

Professional Services

  • Conference PC/Reviewers:
    • IEEE International Conference on Computer Vision (ICCV)

    • IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

    • International Conference on Learning Representations (ICLR)

    • Proceedings of ACM International Conference on Multimedia (ACM MM)

Teaching


University of Science and Technology of China

Miscellaneous

  • I love body building, running, basketball, swimming, traveling and so much more.
  • I am the holder of the university's men's 1000m and 1500m record. Test of physical strength
  • I became a long-distance runner in our university team since my freshman year and won a lot of championships!
  • I am also the founder of our university’s orienteering club and orienteering team!
  • 1st Place, University Race Competition Men's 800m
    2018
    1st Place, University Race Competition Men's 1500m
    2018
    1st Place, Department Race Competition Men's 800m
    2018
    1st Place, Department Race Competition Men's 1500m
    2018
    1st Place, University Race Competition Men's 800m
    2019
    1st Place, University Race Competition Men's 1500m
    2019
    1st Place, University Race Competition Men's 3000m
    2019
    1st Place, Department Race Competition Men's 800m
    2019
    1st Place, Department Race Competition Men's 1500m
    2019
    1st Place, University Race Competition Men's 800m
    2020
    1st Place, University Race Competition Men's 1500m
    2020
    1st Place, Department Race Competition Men's 800m
    2020
    1st Place, Department Race Competition Men's 1500m
    2020
  • I am also an extreme sports enthusiast, especially Parkour.
  • I am open to engaging in any discussions about life, films, research, and more. Don't hesitate to get in touch!