Qihua Dong's

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I am currently a PhD in SmileLab, NEU. I graduated from City University of Hong Kong with a major in computer science and a minor in math.

My research interests lie in the realm of general Artificial Intelligence, specifically focusing on Computer Vision and the Large Language Model. AI makes world better.

ps: You may reach me by email, twitter or github. Feel free to talk.

News

May 28, 2024 Started internship at Adobe, under the invaluable mentorship of Luis A. Figueroa, who is turly kind and inspiring. Wonderful journey!
Sep 06, 2023 Became a PhD candidate at Smile Lab, working under the guidance of Professor Fu.
Aug 29, 2021 Joined the team as a Research Assistant, collaborating with Xu, Yan and Liao, Jing.
Jul 02, 2021 Graduated from City University with a Bachelor of Science in Computer Science and Mathematics. :tada:

Projects

The authors with * contributed equally to the work
  1. Recognition, Localization and Segmentation: Advancing Semantic Insights with LVLMs in Challenging Tasks
    Dong Qihua, Yue Bai, Yizhou Wang, Qifeng Wu, and 1 more author
    Ongoing, 2024
  2. Volume-Preserving Registration for 3D Medical Images with Tumors
    Qihua Dong*, Hao Du*, Ying Song, Yan Xu, and 1 more author
    Proc. ICCV, 2023
    Paper Code
  3. Weakly-Supervised Camouflaged Object Detection with Scribble Annotations
    Ruozhen He*, Qihua Dong*, Jiaying Lin, and Rynson W. H. Lau
    Proc. AAAI, 2023
    Paper Code
  4. Weakly-Supervised 3D Medical Image Segmentation using Geometric Prior and Contrastive Similarity
    Hao Du*, Qihua Dong*, Yan Xu, and Jing Liao
    IEEE Transactions on Medical Imaging, 2023
    Paper
  5. MECCA: Multi-Modal 3D Medical Image Segmentation with Modality-Aware Encoding and Cyclic-Clustering Attention
    Hao Du, Qihua Dong, Yan Xu, and Jing Liao
    Ongoing, 2023
  6. TDFormer: Top-Down Token Generation for 3D Medical Segmentation
    Hao Du*, Qihua Dong*, Yan Xu, and Jing Liao
    Ongoing, 2023