62 citations · 146 across the 10 of their papers we have counts for
10 papers
Toward Accurate and Temporally Consistent Video Restoration from Raw Data
Shi Guo, Jianqi Ma, Xi Yang +2
Denoising and demosaicking are two fundamental steps in reconstructing a clean full-color video from raw data, while performing video denoising and demosaicking jointly, namely VJD…
TMP: Temporal Motion Propagation for Online Video Super-Resolution
Zhengqiang Zhang, Ruihuang Li, Shi Guo +2
Online video super-resolution (online-VSR) highly relies on an effective alignment module to aggregate temporal information, while the strict latency requirement makes accurate and…
Within-Camera Multilayer Perceptron DVS Denoising
A. Rios-Navarro, S. Guo, G Abarajithan +5
In-camera event denoising reduces the data rate of event cameras by filtering out noise at the source. A lightweight multilayer perceptron denoising filter (MLPF) provides state-of…
Spatial-Frequency Attention for Image Denoising
Shi Guo, Hongwei Yong, Xindong Zhang +2
The recently developed transformer networks have achieved impressive performance in image denoising by exploiting the self-attention (SA) in images. However, the existing methods m…
A Differentiable Two-stage Alignment Scheme for Burst Image Reconstruction with Large Shift
Shi Guo, Xi Yang, Jianqi Ma +2
Denoising and demosaicking are two essential steps to reconstruct a clean full-color image from the raw data. Recently, joint denoising and demosaicking (JDD) for burst images, nam…
Efficient Long-Range Attention Network for Image Super-resolution
Xindong Zhang, Hui Zeng, Shi Guo +1
Recently, transformer-based methods have demonstrated impressive results in various vision tasks, including image super-resolution (SR), by exploiting the self-attention (SA) for f…
Image-Adaptive YOLO for Object Detection in Adverse Weather Conditions
Wenyu Liu, Gaofeng Ren, Runsheng Yu +3
Though deep learning-based object detection methods have achieved promising results on the conventional datasets, it is still challenging to locate objects from the low-quality ima…
HDR Video Reconstruction: A Coarse-to-fine Network and A Real-world Benchmark Dataset
Guanying Chen, Chaofeng Chen, Shi Guo +3
High dynamic range (HDR) video reconstruction from sequences captured with alternating exposures is a very challenging problem. Existing methods often align low dynamic range (LDR)…
Joint Denoising and Demosaicking with Green Channel Prior for Real-world Burst Images
Shi Guo, Zhetong Liang, Lei Zhang
Denoising and demosaicking are essential yet correlated steps to reconstruct a full color image from the raw color filter array (CFA) data. By learning a deep convolutional neural…
Toward Convolutional Blind Denoising of Real Photographs
Shi Guo, Zifei Yan, Kai Zhang +2
While deep convolutional neural networks (CNNs) have achieved impressive success in image denoising with additive white Gaussian noise (AWGN), their performance remains limited on…