2 citations · 4 across the 5 of their papers we have counts for
5 papers · 1 filter
VLG-Net: Video-Language Graph Matching Network for Video Grounding
Mattia Soldan, Mengmeng Xu, Sisi Qu +2
Grounding language queries in videos aims at identifying the time interval (or moment) semantically relevant to a language query. The solution to this challenging task demands unde…
DeepOpht: Medical Report Generation for Retinal Images via Deep Models and Visual Explanation
Jia-Hong Huang, Chao-Han Huck Yang, Fangyu Liu +9
In this work, we propose an AI-based method that intends to improve the conventional retinal disease treatment procedure and help ophthalmologists increase diagnosis efficiency and…
Synthesizing New Retinal Symptom Images by Multiple Generative Models
Yi-Chieh Liu, Hao-Hsiang Yang, Chao-Han Huck Yang +5
Age-Related Macular Degeneration (AMD) is an asymptomatic retinal disease which may result in loss of vision. There is limited access to high-quality relevant retinal images and po…
Auto-Classification of Retinal Diseases in the Limit of Sparse Data Using a Two-Streams Machine Learning Model
C. -H. Huck Yang, Fangyu Liu, Jia-Hong Huang +6
Automatic clinical diagnosis of retinal diseases has emerged as a promising approach to facilitate discovery in areas with limited access to specialists. Based on the fact that fun…
A Novel Hybrid Machine Learning Model for Auto-Classification of Retinal Diseases
C. -H. Huck Yang, Jia-Hong Huang, Fangyu Liu +5
Automatic clinical diagnosis of retinal diseases has emerged as a promising approach to facilitate discovery in areas with limited access to specialists. We propose a novel visual-…