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lxtGH/README.md

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My name is Xiangtai. My research focuses on computer vision, deep learning, and multi-modal models.

I was a research fellow at MMlab@NTU, supervised by Prof. Chen Change Loy. I have worked as a research scientist/associate at various places before, including JD, Sensetime, and Shanghai AI Laboratory. I obtained my Ph.D. from Peking University.

My published works are on my homepage, and I am open to discussing potential remote collaborations on research. Please feel free to email me at [email protected].

I love coding and building universal, larger, efficient models (pure vision and multi-modal large language models).

Moreover, most of my works, including the ones I have profoundly contributed to, are open-sourced on GitHub.

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  1. Awesome-Segmentation-With-Transformer Awesome-Segmentation-With-Transformer Public

    [T-PAMI-2024] Transformer-Based Visual Segmentation: A Survey

    699 48

  2. OMG-Seg OMG-Seg Public

    OMG-LLaVA and OMG-Seg codebase [CVPR-24 and NeurIPS-24]

    Python 1.3k 49

  3. SFSegNets SFSegNets Public

    [ECCV-2020-oral]-Semantic Flow for Fast and Accurate Scene Parsing

    Python 373 43

  4. Tube-Link Tube-Link Public

    [ICCV-2023]-Universal Video Segmentaion For VSS, VPS and VIS

    Python 110 3

  5. HarborYuan/ovsam HarborYuan/ovsam Public

    [ECCV 2024] The official code of paper "Open-Vocabulary SAM".

    Python 950 28

  6. Video-K-Net Video-K-Net Public

    [CVPR-2022 (oral)]-Video K-Net: A Simple, Strong, and Unified Baseline for Video Segmentation

    Python 151 14