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[2407. 21368] Prompting Medical Large Vision-Language Models to Diagnose . . . We propose two prompting strategies for MLVLMs that reduce hallucination and improve VQA performance In the first strategy, we provide a detailed explanation of the queried pathology In the second strategy, we fine-tune a cheap, weak learner to achieve high performance on a specific metric, and textually provide its judgment to the MLVLM
Danfeng Guo | IEEE Xplore Author Details Danfeng Guo Affiliation University of California, Los Angeles Publication Topics Convolutional Layers,Medical Imaging,2D Convolutional Layers,3D Convolution,3D Image Analysis,3D Images,3D Medical Image,3D U-Net,Additional Feedback,Anisotropic Image,Atelectasis,Average Accuracy,Bottom Layer,Bounding Box,Bounding Box Coordinates,Cardiomegaly
Danfeng Guo Inventions, Patents and Patent Applications - Justia . . . Danfeng Guo has filed for patents to protect the following inventions This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO)
UNIVERSITY OF CALIFORNIA Los Angeles Danfeng Guo Doctor of Philosophy in Computer Science University of California, Los Angeles, 2024 Professor Demetri Terzopoulos, Chair Medical image analysis powered by deep learning computer vision models has achieved significant advancements in the past decade Deep learning models have demonstrated
Danfeng Guo - ACL Anthology Although significant progress has been made for visual-linguistic tasks such as visual grounding, most of the current works involve single turn utterances and focus on simple coreference resolutions In this work, we propose an MCR model that resolves coreferences made in multi-turn dialogues with scene images
Danfeng Guo - Papers With Code Learning from multimodal data has become a popular research topic in recent years We propose two prompting strategies for MLVLMs that reduce hallucination and improve VQA performance Hence, those models are unable to predict further future Papers by Danfeng Guo with links to code and results
Danfeng Guo - Loop Loop is the open research network that increases the discoverability and impact of researchers and their work Loop enables you to stay up-to-date with the latest discoveries and news, connect with researchers and form new collaborations
Danfeng Guo - dblp Read more about it in our latest blog post or try out some of the SPARQL queries linked on the dblp web pages below
Danfeng Guo (0000-0003-0099-1628) - ORCID Warning! orcid org is a test website orcid org is the official website Sandbox only sends email messages to mailinator com email addresses, see Sandbox FAQ for more information
Danfeng Guo - DeepAI Read Danfeng Guo's latest research, browse their coauthor's research, and play around with their algorithms