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Qinglong Cao

Ph.D. Candidate
MoE Key Lab of Artificial Intelligence, AI Institute,
Shanghai Jiao Tong University; Eastern Institute of Technology, Ningbo

800 Dongchuan RD. Minhang District, Shanghai, China

 caoql2022@sjtu.edu.cn


About Me

I’m an AI Ph.D. candidate in the joint program between Shanghai Jiao Tong University and Eastern Institute of Technology, Ningbo. I am supervised by Prof. Yuntian Chen (belonging to the team of Prof. Dongxiao Zhang ) and Prof. Xiaokang Yang , and I also work closely with Prof. Chao Ma .

Prior to that, I received my B.E. and M.S. degrees from Northwestern Polytechnical University respectively in 2019 and 2022, under the supervision of Pro. Junwei Han . In the winter of 2019, I am honored to become a research intern of MIT and attend a research of painting classification. I have broad research interests in few-shot learning, including few-shot classification, few-shot segmentation, and prompt learning. My research mainly involves computer vision tasks like segmentation, classification, and detection, remote sensing image processing, and AI for science.

Background

Shanghai Jiao Tong University & Eastern Institute of Technology, Ningbo, Shanghai/Ningbo, China

PhD in Computer Science, Sept. 2022 - Present

Northwestern Polytechnical University, Xi’an, China

Master in Pattern Recognition and Intelligent System, Sept. 2019 - Mar. 2022

Northwestern Polytechnical University, Xi’an, China

Bachelor in Automation, Sept. 2015 - Jun. 2019

Research Interests

Publications

  1. CVPR2024
    Domain Prompt Learning with Quaternion Networks
    Qinglong Cao, Zhengqin Xu, Yuntian Chen, Chao Ma, Xiaokang Yang
    Conference on Computer Vision and Pattern Recognition (CVPR2024).
    PDF Code
  2. AAAI2024
    Domain-Controlled Prompt Learning
    Qinglong Cao, Zhengqin Xu, Yuntian Chen, Chao Ma, Xiaokang Yang
    Association for the Advancement of Artificial Intelligence (AAAI2024).
    PDF Code
  3. TGRS
    Few-Shot Rotation-Invariant Aerial Image Semantic Segmentation
    Qinglong Cao, Yuntian Chen, Chao Ma, Xiaokang Yang
    IEEE Transactions on Geoscience and Remote Sensing (TGRS), December. 2023.
    PDF Code
  4. TCSVT
    Break the Bias: Delving Semantic Transform Invariance for Few-Shot Segmentation
    Qinglong Cao, Yuntian Chen, Chao Ma, Xiaokang Yang
    IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), October. 2023.
    PDF Code
  5. arxiv
    Progressively Dual Prior Guided Few-shot Semantic Segmentation
    Qinglong Cao, Yuntian Chen, Xiwen Yao, Junwei Han
    arXiv, November. 2022.
    PDF Code
  6. TNNLS
    Learning to Assess Image Quality Like an Observer
    Xiwen Yao, Qinglong Cao, Xiaoxu Feng, Gong Cheng, Junwei Han
    IEEE Transactions on Neural Networks and Learning Systems (TNNLS), February. 2022.
    PDF
  7. CVPR
    Learning Non-target Knowledge for Few-shot Semantic Segmentation
    Yuanwei Liu, Nian Liu, Qinglong Cao, Xiwen Yao, Junwei Han, Ling Shao
    Computer Vision and Pattern Recognition (CVPR 2022)
    PDF Code
  8. TGRS
    Scale-Aware Detailed Matching for Few-Shot Aerial Image Semantic Segmentation
    Xiwen Yao, Qinglong Cao, Xiaoxu Feng, Gong Cheng, Junwei Han
    IEEE Transactions on Geoscience and Remote Sensing (TGRS), October. 2021.
    PDF Code

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