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cs.CV2025

Medical Report Generation Is A Multi-label Classification Problem

Yijian Fan, Zhenbang Yang, Rui Liu +2

Medical report generation is a critical task in healthcare that involves the automatic creation of detailed and accurate descriptions from medical images. Traditionally, this task…

cs.CV2025

NavCoT: Boosting LLM-Based Vision-and-Language Navigation via Learning Disentangled Reasoning

Bingqian Lin, Yunshuang Nie, Ziming Wei +6

Vision-and-Language Navigation (VLN), as a crucial research problem of Embodied AI, requires an embodied agent to navigate through complex 3D environments following natural languag…

cs.CV2025

Sitcom-Crafter: A Plot-Driven Human Motion Generation System in 3D Scenes

Jianqi Chen, Panwen Hu, Xiaojun Chang +3

Recent advancements in human motion synthesis have focused on specific types of motions, such as human-scene interaction, locomotion or human-human interaction, however, there is a…

cs.CV2024

HC-LLM: Historical-Constrained Large Language Models for Radiology Report Generation

Tengfei Liu, Jiapu Wang, Yongli Hu +5

Radiology report generation (RRG) models typically focus on individual exams, often overlooking the integration of historical visual or textual data, which is crucial for patient f…

cs.CV2024

Efficient Training of Large Vision Models via Advanced Automated Progressive Learning

Changlin Li, Jiawei Zhang, Sihao Lin +4

The rapid advancements in Large Vision Models (LVMs), such as Vision Transformers (ViTs) and diffusion models, have led to an increasing demand for computational resources, resulti…

cs.CV2024

Contrastive Learning with Counterfactual Explanations for Radiology Report Generation

Mingjie Li, Haokun Lin, Liang Qiu +4

Due to the common content of anatomy, radiology images with their corresponding reports exhibit high similarity. Such inherent data bias can predispose automatic report generation…