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@SCUT-DLVCLab

SCUT-DLVCLab

华南理工大学深度学习与视觉计算实验室

About Us 🚀

The Deep Learning and Vision Computing Lab is dedicated to advanced theoretical research and innovative applications in the fields of artificial intelligence, computer vision, machine learning, and pattern recognition. Our current research focuses on deep learning, text detection and recognition, document analysis and understanding, and artificial intelligence. In recent years, our team has led more than 30 national and provincial research projects, making significant achievements in optical character recognition (OCR), handwriting recognition, gesture recognition and interaction technology, and innovative applications of deep learning. We have published over 300 SCI/EI papers, obtained more than 50 authorized invention patents, won 5 provincial and ministerial science and technology awards, and achieved first place in international academic competitions 4 times.

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  1. TongGu-LLM TongGu-LLM Public

    [EMNLP 2024] TongGu, a classical Chinese language model.

    37 1

  2. GPT-4V_OCR GPT-4V_OCR Public

    Evaluation of the Optical Character Recognition (OCR) capabilities of GPT-4V(ision)

    Python 124 4

  3. Document-AI-Recommendations Document-AI-Recommendations Public

    Algorithms, papers, datasets, performance comparisons for Document AI. Continuously updating.

    190 7

  4. SCUT-EnsExam SCUT-EnsExam Public

    SCUT-EnsExam is a real-world handwritten text erasure dataset for examination paper scenarios, which consists of 545 examination paper images. The dataset is randomly divided into training set and …

    11

  5. RFUND RFUND Public

    [MM'2024] Official release of RFUND introduced in the MM'2024 paper "PEneo: Unifying Line Extraction, Line Grouping, and Entity Linking for End-to-end Document Pair Extraction"

    19

  6. HisDoc1B HisDoc1B Public

    10 1

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