55 citations · 131 across the 14 of their papers we have counts for
5 papers · 1 filter
Medical Knowledge Graph QA for Drug-Drug Interaction Prediction based on Multi-hop Machine Reading Comprehension
Peng Gao, Feng Gao, Jian-Cheng Ni +2
Drug-drug interaction prediction is a crucial issue in molecular biology. Traditional methods of observing drug-drug interactions through medical experiments require significant re…
TPA-Net: Generate A Dataset for Text to Physics-based Animation
Yuxing Qiu, Feng Gao, Minchen Li +3
Recent breakthroughs in Vision-Language (V&L) joint research have achieved remarkable results in various text-driven tasks. High-quality Text-to-video (T2V), a task that has been l…
Towards Reasoning-Aware Explainable VQA
Rakesh Vaideeswaran, Feng Gao, Abhinav Mathur +1
The domain of joint vision-language understanding, especially in the context of reasoning in Visual Question Answering (VQA) models, has garnered significant attention in the recen…
CUTS: A Deep Learning and Topological Framework for Multigranular Unsupervised Medical Image Segmentation
Chen Liu, Matthew Amodio, Liangbo L. Shen +6
Segmenting medical images is critical to facilitating both patient diagnoses and quantitative research. A major limiting factor is the lack of labeled data, as obtaining expert ann…
A Thousand Words Are Worth More Than a Picture: Natural Language-Centric Outside-Knowledge Visual Question Answering
Feng Gao, Qing Ping, Govind Thattai +3
Outside-knowledge visual question answering (OK-VQA) requires the agent to comprehend the image, make use of relevant knowledge from the entire web, and digest all the information…