most citedLarge Multimodal Agents: A Survey

12 citations · 13 across the 6 of their papers we have counts for

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cs.CV2024

Let Video Teaches You More: Video-to-Image Knowledge Distillation using DEtection TRansformer for Medical Video Lesion Detection

Yuncheng Jiang, Zixun Zhang, Jun Wei +5

AI-assisted lesion detection models play a crucial role in the early screening of cancer. However, previous image-based models ignore the inter-frame contextual information present…

cs.CV2024

ToDER: Towards Colonoscopy Depth Estimation and Reconstruction with Geometry Constraint Adaptation

Zhenhua Wu, Yanlin Jin, Liangdong Qiu +3

Visualizing colonoscopy is crucial for medical auxiliary diagnosis to prevent undetected polyps in areas that are not fully observed. Traditional feature-based and depth-based reco…

cs.CV202412 cited

Large Multimodal Agents: A Survey

Junlin Xie, Zhihong Chen, Ruifei Zhang +2

Large language models (LLMs) have achieved superior performance in powering text-based AI agents, endowing them with decision-making and reasoning abilities akin to humans. Concurr…

cs.CV2024

ECC-PolypDet: Enhanced CenterNet with Contrastive Learning for Automatic Polyp Detection

Yuncheng Jiang, Zixun Zhang, Yiwen Hu +6

Accurate polyp detection is critical for early colorectal cancer diagnosis. Although remarkable progress has been achieved in recent years, the complex colon environment and concea…

cs.CV20231 cited

ArSDM: Colonoscopy Images Synthesis with Adaptive Refinement Semantic Diffusion Models

Yuhao Du, Yuncheng Jiang, Shuangyi Tan +5

Colonoscopy analysis, particularly automatic polyp segmentation and detection, is essential for assisting clinical diagnosis and treatment. However, as medical image annotation is…