About Me

In the autumn of 2022, I embarked on my Ph.D. journey at the Australian National University’s School of Computing. My supervisor is Prof. Nick Barnes, and I also benefit from the academic mentorship of Prof. Deng-Ping Fan. Before this, I obtained my Master’s degree in 2021 from the School of Computer Science at Wuhan University. My main research focus is on addressing complex perception problems using computer vision and machine learning techniques, particularly by crafting effective and scalable algorithms for real-world applications. I frequently serve as a reviewer for top-tier conferences and journals such as TPAMI, TIP, IJCV, CVPR, ICCV, etc. I am honored to be ranked among the list of Stanford/Elsevier world’s top2 scientists in 2024 (link).

Research Interests

My research areas include but are not limited to:

• Complex Scene Understanding: Camouflaged/Salient Object Discovery on different data modalities (e.g., RGB, RGB-Depth, RGB-Thermal, Light-Field)
• Open-World Scene Understanding: Out-of-distribution Detection, Open-vocabulary, Large Multimodal Models (LMMs)
• Medical Image Analysis: Multimodal Medical AI, Colorectal Polyp Segmentation, Lung Infection Segmentation
• Video Analysis: Video Object Segmentation, Video Camouflaged/Salient Object Detection, Motion Segmentation

Recent Updates

• [Oct 16, 2024] We launch IntelliScope project to explore the frontiers of intelligent colonoscopy techniques and their potential impact on multimodal medical applications. (ColonSurvey & ColonINST & ColonGPT)
• [Sep 28, 2023] We conduct empirical studies on the Segment Anything Model (SAM) by investigating its abilty on three concealed scenarios. (arXiv & 公众号解读), which was accepted by SCIS journal.
• [Apr 25, 2023] We release a comprehensive survey paper about ‘Deep Concealed Scene Understanding’. (arXiv & Project & 公众号解读)
• [Feb 14, 2023] Call for paper: Multi-Modal Representation Learning, Special Issue in Machine Intelligence Research (MIR) journal, 2023 (Submission Deadline: July 1, 2023)
• [Nov 26, 2022] We release two awesome paper reading lists for the camouflaged object detection (COD) and video polyp segmentation (VPS)
• [Nov 04, 2022] One paper about video polyp segmentation is published in Machine Intelligence Research (MIR) journal. (Open Access - Springer & MIR News)
• [Oct 18, 2022] Our paper about video object segmentation is published in Computational Visual Media (CVM) journal. (Open Access)
• [Aug 06, 2022] One paper about efficient camouflaged object detection was accepted by Machine Intelligence Research (MIR) journal. (Open Access - Springer)

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