3 citations · 10 across the 6 of their papers we have counts for
6 papers
Longer Version for "Deep Context-Encoding Network for Retinal Image Captioning"
Jia-Hong Huang, Ting-Wei Wu, Chao-Han Huck Yang +1
Automatically generating medical reports for retinal images is one of the promising ways to help ophthalmologists reduce their workload and improve work efficiency. In this work, w…
Ensemble-based Transfer Learning for Low-resource Machine Translation Quality Estimation
Ting-Wei Wu, Yung-An Hsieh, Yi-Chieh Liu
Quality Estimation (QE) of Machine Translation (MT) is a task to estimate the quality scores for given translation outputs from an unknown MT system. However, QE scores for low-res…
Contextualized Keyword Representations for Multi-modal Retinal Image Captioning
Jia-Hong Huang, Ting-Wei Wu, Marcel Worring
Medical image captioning automatically generates a medical description to describe the content of a given medical image. A traditional medical image captioning model creates a medi…
Video Sentiment Analysis with Bimodal Information-augmented Multi-Head Attention
Ting Wu, Junjie Peng, Wenqiang Zhang +3
Humans express feelings or emotions via different channels. Take language as an example, it entails different sentiments under different visual-acoustic contexts. To precisely unde…
Digital Reconstruction of Elmina Castle for Mobile Virtual Reality via Point-based Detail Transfer
Sifan Ye, Ting Wu, Michael Jarvis +1
Reconstructing 3D models from large, dense point clouds is critical to enable Virtual Reality (VR) as a platform for entertainment, education, and heritage preservation. Existing 3…
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…