Running
MVAI Document Parsing DocTags Lab
📄
Extract and visualize document structure from uploaded images
AI & ML interests
Multimodal AI, Vision-Language Models, Document Intelligence, OCR, Handwriting Recognition, Compact VLMs, Multimodal Post-Training, SFT, GRPO
Recent Activity
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Organization Card
Multimodal Vision AI Lab
Hohai University
The Multimodal Vision AI Lab focuses on research in multimodal artificial intelligence, vision-language models, document intelligence, OCR, handwriting recognition, compact multimodal models, and multimodal post-training.
Research Areas
- Multimodal Vision-Language Models
- Document Intelligence
- OCR and Handwriting Recognition
- Compact Vision-Language Models
- Multimodal Post-Training
- Supervised Fine-Tuning (SFT)
- Reinforcement Learning and GRPO
- Multimodal Benchmarking and Evaluation
Open Research
We develop open datasets, models, benchmarks, evaluation tools, and educational resources for multimodal vision and document intelligence research.
Projects
Projects, datasets, models, and benchmarks will be released progressively through this organization.
Links
- Hohai University
- GitHub: multimodal-vision-ai
models 4
multimodal-vision-ai/Wang-Qwen3.5-2B-DocTags-ONNX
Image-Text-to-Text • Updated • 54 • 1
multimodal-vision-ai/Wang-Qwen3.5-2B-DocTags
Image-Text-to-Text • 2B • Updated • 34
multimodal-vision-ai/R3-OvisOCR3-DocTags-0.8B-ONNX
Image-Text-to-Text • Updated • 41
multimodal-vision-ai/mvai-video-action-compare-models
Video Classification • Updated • 581