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. My previous experience includes Multidmodal LLM, segmentation (Anomaly Detection, Medical Image, Camouflage Object), medical image field (2D/3D, Registration). AI makes world better.

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

News

Oct 03, 2025 Honored to receive the Outstanding Reviewer Award at ICCV 2025!
May 01, 2025 Excited to join Amazon AGI Foundation Team as Applied Scientist Intern, working on visual reasoning with Hao Yang!
May 28, 2024 Thrilled to join Adobe Research as Research Intern, working on MLLM for referring segmentation with the kind and inspiring Luis A. Figueroa!
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.

Projects

The authors with * contributed equally to the work
  1. CoT Referring: Chain-of-Thought Grounding Improve Localization in Referring Expression Tasks
    Dong Qihua, Figueroa Luis, Zhao Handong, Kafle Kushal, and 4 more authors
    On submission, 2025
    Paper
  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