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@AI-Application-and-Integration-Lab

AI^2 Lab

AI Application and Integration Lab, CSIE, National Taiwan University

👋 Welcome to AI Application and Integration Lab

We are a research lab focused on exploring the intersection of artificial intelligence, multimodal understanding, and human creativity. Our goal is to develop intelligent systems that can perceive, reason, and generate across different modalities — including text and vision.

📍 Located at National Taiwan University, Department of Computer Science & Information Engineering.

📄 Selected Publications

2025

  • RIDGE: Relation-Rich Visual Document Generator for Visual Information Extraction
    Zi-Han Jiang, Chien-Wei Lin, Wei-Hua Li, Hsuan-Tung Liu, Yi-Ren Yeh, Chu-Song Chen
    Conference on Computer Vision and Pattern Recognition (CVPR)
    [paper][code]

  • PDSeg: Patch-Wise Distillation and Controllable Image Generation for Weakly-Supervised Histopathology Tissue Segmentation
    Wei-Hua Li, Yu-Hsing Hsieh, Huei-Fang Yang, Chu-Song Chen
    International Conference on Acoustics, Speech and Signal Processing (ICASSP)
    [paper][code]

2024

  • ACCEPT: Adaptive Codebook for Composite and Efficient Prompt Tuning
    Yu-Chen Lin, Wei-Hua Li, Jun-Cheng Chen, Chu-Song Chen
    Findings of the Association for Computational Linguistics: EMNLP
    [paper][code]

  • SAM4MLLM: Enhance Multi-Modal Large Language Model for Referring Expression Segmentation
    Yi-Chia Chen, Wei-Hua Li, Cheng Sun, Yu-Chiang Frank Wang, Chu-Song Chen
    European Conference on Computer Vision (ECCV)
    [paper][code]

  • RDPN6D: Residual-based Dense Point-wise Network for 6Dof Object Pose Estimation Based on RGB-D Images
    Zong-Wei Hong, Yen-Yang Hung, Chu-Song Chen
    CVPR Workshop DLGC, 2024
    [paper][code]

  • Open-Vocabulary Panoptic Segmentation Using Bert Pre-Training of Vision-Language Multiway Transformer Model
    Yi-Chia Chen, Wei-Hua Li, Chu-Song Chen
    International Conference on Image Processing (ICIP)
    [paper][code]

2023

  • Class-incremental Continual Learning for Instance Segmentation with Image-level Weak Supervision
    Yu-Hsing Hsieh, Guan-Sheng Chen, Shun-Xian Cai, Ting-Yun Wei, Huei-Fang Yang, Chu-Song Chen
    International Conference on Computer Vision (ICCV)
    [paper][code]

  • Domain-Generalized Face Anti-Spoofing with Unknown Attacks
    Zong-Wei Hong, Yu-Chen Lin, Hsuan-Tung Liu, Yi-Ren Yeh, Chu-Song Chen
    IEEE International Conference on Image Processing (ICIP)
    [paper][code]

👥 Maintainers

This profile is maintained by members of AI²Lab. For questions or collaborations, please open an issue or contact us directly.

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  1. RDPN6D RDPN6D Public

    [CVPR Workshop DLGC, 2024] RDPN6D: Residual-based Dense Point-wise Network for 6Dof Object Pose Estimation Based on RGB-D Images

    Python 44 6

  2. SAM4MLLM SAM4MLLM Public

    [ECCV 2024] SAM4MLLM: Enhance Multi-Modal Large Language Model for Referring Expression Segmentation,

    Jupyter Notebook 39 4

  3. CL4WSIS CL4WSIS Public

    [ICCV 2023] Class-incremental Continual Learning for Instance Segmentation with Image-level Weak Supervision

    Python 10

  4. OMTSeg OMTSeg Public

    [ICIP 2024] Open-Vocabulary Panoptic Segmentation Using BERT Pre-Training of Vision-Language Multiway Transformer Model

    Python 16

  5. PDSeg PDSeg Public

    [ICASSP 2025] PDSeg: Patch-Wise Distillation and Controllable Image Generation for Weakly-Supervised Histopathology Tissue Segmentation

    Python 18

  6. Accept Accept Public

    [EMNLP Findings 2024] ACCEPT: Adaptive Codebook for Composite and Efficient Prompt Tuning

    Python 3

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