56 citations · 110 across the 4 of their papers we have counts for
4 papers
Single-Image HDR Reconstruction by Learning to Reverse the Camera Pipeline
Yu-Lun Liu, Wei-Sheng Lai, Yu-Sheng Chen +4
Recovering a high dynamic range (HDR) image from a single low dynamic range (LDR) input image is challenging due to missing details in under-/over-exposed regions caused by quantiz…
COCO-GAN: Generation by Parts via Conditional Coordinating
Chieh Hubert Lin, Chia-Che Chang, Yu-Sheng Chen +3
Humans can only interact with part of the surrounding environment due to biological restrictions. Therefore, we learn to reason the spatial relationships across a series of observa…
Learning Deep Convolutional Networks for Demosaicing
Nai-Sheng Syu, Yu-Sheng Chen, Yung-Yu Chuang
This paper presents a comprehensive study of applying the convolutional neural network (CNN) to solving the demosaicing problem. The paper presents two CNN models that learn end-to…
A Mathematical Theory for Clustering in Metric Spaces
Cheng-Shang Chang, Wanjiun Liao, Yu-Sheng Chen +1
Clustering is one of the most fundamental problems in data analysis and it has been studied extensively in the literature. Though many clustering algorithms have been proposed, clu…