activity
20222024
most citedA Survey of Large Language Models in Medicine: Progress, Application, and Challenge

41 citations · 145 across the 11 of their papers we have counts for

collaborators
Showing 2023Show all

5 papers · 1 filter

cs.CL2023★ 41 cited

A Survey of Large Language Models in Medicine: Progress, Application, and Challenge

Hongjian Zhou, Fenglin Liu, Boyang Gu +16

Large language models (LLMs), such as ChatGPT, have received substantial attention due to their capabilities for understanding and generating human language. While there has been a…

cs.CV2023

Improving Scene Graph Generation with Superpixel-Based Interaction Learning

Jingyi Wang, Can Zhang, Jinfa Huang +2

Recent advances in Scene Graph Generation (SGG) typically model the relationships among entities utilizing box-level features from pre-defined detectors. We argue that an overlooke…

cs.CV2023

Text-Video Retrieval with Disentangled Conceptualization and Set-to-Set Alignment

Peng Jin, Hao Li, Zesen Cheng +5

Text-video retrieval is a challenging cross-modal task, which aims to align visual entities with natural language descriptions. Current methods either fail to leverage the local de…

cs.CV2023★ 1 cited

Cross-Modality Time-Variant Relation Learning for Generating Dynamic Scene Graphs

Jingyi Wang, Jinfa Huang, Can Zhang +1

Dynamic scene graphs generated from video clips could help enhance the semantic visual understanding in a wide range of challenging tasks such as environmental perception, autonomo…

cs.CV2023★ 3 cited

Video-Text as Game Players: Hierarchical Banzhaf Interaction for Cross-Modal Representation Learning

Peng Jin, Jinfa Huang, Pengfei Xiong +5

Contrastive learning-based video-language representation learning approaches, e.g., CLIP, have achieved outstanding performance, which pursue semantic interaction upon pre-defined…