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Long Sun

Researcher at Guilin University of Electronic Technology

Publications -  15
Citations -  610

Long Sun is an academic researcher from Guilin University of Electronic Technology. The author has contributed to research in topics: Computer science & Convolutional neural network. The author has an hindex of 7, co-authored 9 publications receiving 209 citations. Previous affiliations of Long Sun include Seoul National University & ETH Zurich.

Papers
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Journal ArticleDOI

MADNet: A Fast and Lightweight Network for Single-Image Super Resolution

TL;DR: This article proposes a dense lightweight network, called MADNet, for stronger multiscale feature expression and feature correlation learning, and presents a dual residual-path block (DRPB) that utilizes the hierarchical features from original low-resolution images.
Journal ArticleDOI

Cascading and Enhanced Residual Networks for Accurate Single-Image Super-Resolution

TL;DR: A cascading residual network (CRN) that contains several locally sharing groups (LSGs) that not only promotes the propagation of features and the gradient but also eases the model training is proposed, which outperforms most of the advanced methods while still retaining a reasonable number of parameters.
Proceedings ArticleDOI

NTIRE 2021 Challenge on Image Deblurring

TL;DR: The NTIRE 2021 Challenge on Image Deblurring as mentioned in this paper focused on image deblurring, where both the tracks aim to recover a high-quality clean image from a blurry image, different artifacts are jointly involved.
Book ChapterDOI

AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results

Kai Zhang, +77 more
TL;DR: The AIM 2020 challenge on efficient single image super-resolution with focus on the proposed solutions and results as discussed by the authors was held in 2019, where the goal was to devise a network that reduces one or several aspects such as runtime, parameter count, FLOPs, activations, and memory consumption.