Ruofan Zhou

Cette personne n’est plus à l’EPFL

Publications associées (14)

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Multi-Modal Spectral Image Super-Resolution

Sabine Süsstrunk, Ruofan Zhou, Fayez Lahoud

Recent advances have shown the great power of deep convolutional neural networks (CNN) to learn the relationship between low and high-resolution image patches. However, these methods only take a single-scale image as input and require large amount of data ...

Springer2019

AIM 2019 Challenge on Image Extreme Super-Resolution: Methods and Results

Majed El Helou, Liying Lu, Ruofan Zhou, Xin Yang, Wei Li, Radu Timofte, Jia Yu, Muhammad Haris, Peng Yi, Jiayi Ma

This paper reviews the AIM 2019 challenge on extreme image super-resolution, the problem of restoring of rich details in a low resolution image. Compared to previous, this challenge focuses on an extreme upscaling factor, x16, and employs the novel DIVerse ...

IEEE COMPUTER SOC2019

Deep Residual Network for Joint Demosaicing and Super- Resolution

Sabine Süsstrunk, Radhakrishna Achanta, Ruofan Zhou

The two classic image restoration tasks, demosaicing and super-resolution, have traditionally always been studied indepen- dently. That is sub-optimal as sequential processing, demosaic- ing and then super-resolution, may lead to amplification of ar- tifac ...

Society for Imaging Science and Technology ( IS&T )2018

NTIRE 2018 Challenge on Spectral Reconstruction from RGB Images

Lei Zhang, Bing Zhang, Majed El Helou, Ruofan Zhou, Fayez Lahoud, Dong Liu, Marjan Shahpaski, Radu Timofte, Chang Chen, Soumik Sarkar

This paper reviews the first challenge on spectral image reconstruction from RGB images, i.e., the recovery of whole-scene hyperspectral (HS) information from a 3- channel RGB image. The challenge was divided into 2 tracks: the “Clean” track sought HS reco ...

2018

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