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AI & ML interests
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Recent Activity
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zhaodongwu/MSWAL liked
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ZJU-AI4H/Hulu-Med-4B Organizations
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SEG
-
VQ-Seg: Vector-Quantized Token Perturbation for Semi-Supervised Medical Image Segmentation
Paper • 2601.10124 • Published • 4 -
Urban Socio-Semantic Segmentation with Vision-Language Reasoning
Paper • 2601.10477 • Published • 155 -
Medical SAM3: A Foundation Model for Universal Prompt-Driven Medical Image Segmentation
Paper • 2601.10880 • Published • 15 -
SAMTok: Representing Any Mask with Two Words
Paper • 2601.16093 • Published • 41
扩散模型_based
3D
segmentation plus report
-
ReXGroundingCT: A 3D Chest CT Dataset for Segmentation of Findings from Free-Text Reports
Paper • 2507.22030 • Published • 2 -
Unlocking the Potential of MLLMs in Referring Expression Segmentation via a Light-weight Mask Decode
Paper • 2508.04107 • Published • 4 -
Phrase-grounded Fact-checking for Automatically Generated Chest X-ray Reports
Paper • 2509.21356 • Published -
Learning Segmentation from Radiology Reports
Paper • 2507.05582 • Published • 1
research-model
Latent_COT
Reasoning Model
LVLM
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Speed Always Wins: A Survey on Efficient Architectures for Large Language Models
Paper • 2508.09834 • Published • 53 -
RadGenome-Chest CT: A Grounded Vision-Language Dataset for Chest CT Analysis
Paper • 2404.16754 • Published -
LISAT: Language-Instructed Segmentation Assistant for Satellite Imagery
Paper • 2505.02829 • Published -
MedQ-Bench: Evaluating and Exploring Medical Image Quality Assessment Abilities in MLLMs
Paper • 2510.01691 • Published • 4
medicial models
research-model
SEG
-
VQ-Seg: Vector-Quantized Token Perturbation for Semi-Supervised Medical Image Segmentation
Paper • 2601.10124 • Published • 4 -
Urban Socio-Semantic Segmentation with Vision-Language Reasoning
Paper • 2601.10477 • Published • 155 -
Medical SAM3: A Foundation Model for Universal Prompt-Driven Medical Image Segmentation
Paper • 2601.10880 • Published • 15 -
SAMTok: Representing Any Mask with Two Words
Paper • 2601.16093 • Published • 41
Latent_COT
扩散模型_based
Reasoning Model
3D
LVLM
-
Speed Always Wins: A Survey on Efficient Architectures for Large Language Models
Paper • 2508.09834 • Published • 53 -
RadGenome-Chest CT: A Grounded Vision-Language Dataset for Chest CT Analysis
Paper • 2404.16754 • Published -
LISAT: Language-Instructed Segmentation Assistant for Satellite Imagery
Paper • 2505.02829 • Published -
MedQ-Bench: Evaluating and Exploring Medical Image Quality Assessment Abilities in MLLMs
Paper • 2510.01691 • Published • 4
segmentation plus report
-
ReXGroundingCT: A 3D Chest CT Dataset for Segmentation of Findings from Free-Text Reports
Paper • 2507.22030 • Published • 2 -
Unlocking the Potential of MLLMs in Referring Expression Segmentation via a Light-weight Mask Decode
Paper • 2508.04107 • Published • 4 -
Phrase-grounded Fact-checking for Automatically Generated Chest X-ray Reports
Paper • 2509.21356 • Published -
Learning Segmentation from Radiology Reports
Paper • 2507.05582 • Published • 1