5 citations
- Charles Darwin UniversityAU2 papers
- Chung-Ang UniversityKR2 papers
- Monash UniversityAU2 papers
- United International UniversityBD2 papers
- AGH University of KrakowPL1 paper
- Association for the Advancement of Artificial IntelligenceUS1 paper
- Beijing Academy of Artificial IntelligenceCN1 paper
- Cathay General HospitalTW1 paper
- Center for Excellence in Brain Science and Intelligence TechnologyCN1 paper
- Center for Life SciencesCN1 paper
- Chang Gung Memorial HospitalTW1 paper
- Chang Gung UniversityTW1 paper
6 papers · 1 filter
A fine-grained attention and geometric correspondence model for musculoskeletal risk classification in athletes using multimodal visual and skeletal features
Md. Abdur Rahman, Mohaimenul Azam Khan Raiaan, Tamanna Shermin +3
Musculoskeletal disorders pose significant risks to athletes, and early risk assessment is essential for prevention. However, most existing methods are designed for controlled sett…
QEVA: A Reference-Free Evaluation Metric for Narrative Video Summarization with Multimodal Question Answering
Woojun Jung, Junyeong Kim
Video-to-text summarization remains underexplored in terms of comprehensive evaluation methods. Traditional n-gram overlap-based metrics and recent large language model (LLM)-based…
AutoVQA-G: Self-Improving Agentic Framework for Automated Visual Question Answering and Grounding Annotation
Rongsheng Hu, Runwei Guan, Yicheng Di +2
Manual annotation of high-quality visual question answering with grounding (VQA-G) datasets, which pair visual questions with evidential grounding, is crucial for advancing vision-…
DenseSwinV2: Channel Attentive Dual Branch CNN Transformer Learning for Cassava Leaf Disease Classification
Shah Saood, Saddam Hussain Khan
This work presents a new Hybrid Dense SwinV2, a two-branch framework that jointly leverages densely connected convolutional features and hierarchical customized Swin Transformer V2…
Translating MRI to PET through Conditional Diffusion Models with Enhanced Pathology Awareness
Yitong Li, Igor Yakushev, Dennis M. Hedderich +1
Positron emission tomography (PET) is a widely recognized technique for diagnosing neurodegenerative diseases, offering critical functional insights. However, its high costs and ra…
Merlin: A Computed Tomography Vision-Language Foundation Model and Dataset
Louis Blankemeier, Ashwin Kumar, Joseph Paul Cohen +37
The large volume of abdominal computed tomography (CT) scans coupled with the shortage of radiologists have intensified the need for automated medical image analysis tools. Previou…