Search Results for author: Yu-Sheng Chen

Found 7 papers, 3 papers with code

Site-Specific Structure at Multiple Length Scales in Kagome Quantum Spin Liquid Candidates

no code implementations14 Dec 2020 Rebecca W. Smaha, Idris Boukahil, Charles J. Titus, Jack Mingde Jiang, John P. Sheckelton, wei he, Jiajia Wen, John Vinson, Suyin Grass Wang, Yu-Sheng Chen, Simon J. Teat, Thomas P. Devereaux, C. Das Pemmaraju, Young S. Lee

Realizing a quantum spin liquid (QSL) ground state in a real material is a leading issue in condensed matter physics research.

Strongly Correlated Electrons Materials Science

Single-Image HDR Reconstruction by Learning to Reverse the Camera Pipeline

1 code implementation CVPR 2020 Yu-Lun Liu, Wei-Sheng Lai, Yu-Sheng Chen, Yi-Lung Kao, Ming-Hsuan Yang, Yung-Yu Chuang, Jia-Bin Huang

We model the HDRto-LDR image formation pipeline as the (1) dynamic range clipping, (2) non-linear mapping from a camera response function, and (3) quantization.

HDR Reconstruction Quantization +1

COCO-GAN: Conditional Coordinate Generative Adversarial Network

no code implementations ICLR 2019 Chieh Hubert Lin, Chia-Che Chang, Yu-Sheng Chen, Da-Cheng Juan, Wei Wei, Hwann-Tzong Chen

The fact that the patch generation process is independent to each other inspires a wide range of new applications: firstly, "Patch-Inspired Image Generation" enables us to generate the entire image based on a single patch.

Image Generation Scene Generation

COCO-GAN: Generation by Parts via Conditional Coordinating

1 code implementation ICCV 2019 Chieh Hubert Lin, Chia-Che Chang, Yu-Sheng Chen, Da-Cheng Juan, Wei Wei, Hwann-Tzong Chen

On the computation side, COCO-GAN has a built-in divide-and-conquer paradigm that reduces memory requisition during training and inference, provides high-parallelism, and can generate parts of images on-demand.

Face Generation

Learning Deep Convolutional Networks for Demosaicing

no code implementations11 Feb 2018 Nai-Sheng Syu, Yu-Sheng Chen, Yung-Yu Chuang

The proposed models and the thorough experiments together demonstrate that CNN is an effective and versatile tool for solving the demosaicing problem.

Demosaicking Denoising

A Mathematical Theory for Clustering in Metric Spaces

no code implementations25 Sep 2015 Cheng-Shang Chang, Wanjiun Liao, Yu-Sheng Chen, Li-Heng Liou

Such a duality result leads to a dual K-sets algorithm for clustering a set of data points with a cohesion measure.

Cannot find the paper you are looking for? You can Submit a new open access paper.