1 citations · 3 across the 6 of their papers we have counts for
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Epistemic-aware Vision-Language Foundation Model for Fetal Ultrasound Interpretation
Xiao He, Huangxuan Zhao, Guojia Wan +8
Recent medical vision-language models have shown promise on tasks such as VQA, report generation, and anomaly detection. However, most are adapted to structured adult imaging and u…
MedReasoner: Reinforcement Learning Drives Reasoning Grounding from Clinical Thought to Pixel-Level Precision
Zhonghao Yan, Muxi Diao, Yuxuan Yang +7
Accurately grounding regions of interest (ROIs) is critical for diagnosis and treatment planning in medical imaging. While multimodal large language models (MLLMs) combine visual p…
EarthSynth: Generating Informative Earth Observation with Diffusion Models
Jiancheng Pan, Shiye Lei, Yuqian Fu +7
Remote sensing image (RSI) interpretation typically faces challenges due to the scarcity of labeled data, which limits the performance of RSI interpretation tasks. To tackle this c…
NTIRE 2025 Challenge on Cross-Domain Few-Shot Object Detection: Methods and Results
Yuqian Fu, Xingyu Qiu, Bin Ren +59
Cross-Domain Few-Shot Object Detection (CD-FSOD) poses significant challenges to existing object detection and few-shot detection models when applied across domains. In conjunction…
Enhance Then Search: An Augmentation-Search Strategy with Foundation Models for Cross-Domain Few-Shot Object Detection
Jiancheng Pan, Yanxing Liu, Xiao He +4
Foundation models pretrained on extensive datasets, such as GroundingDINO and LAE-DINO, have performed remarkably in the cross-domain few-shot object detection (CD-FSOD) task. Thro…
Locate Anything on Earth: Advancing Open-Vocabulary Object Detection for Remote Sensing Community
Jiancheng Pan, Yanxing Liu, Yuqian Fu +5
Object detection, particularly open-vocabulary object detection, plays a crucial role in Earth sciences, such as environmental monitoring, natural disaster assessment, and land-use…