Search Results - "Shuhang Gu"

Learning a Deep Single Image Contrast Enhancer from Multi-Exposure Images by Cai, Jianrui, Gu, Shuhang, Zhang, Lei

“…Due to the poor lighting condition and limited dynamic range of digital imaging devices, the recorded images are often under-/over-exposed and with low…”
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Learning Deep CNN Denoiser Prior for Image Restoration by Kai Zhang, Wangmeng Zuo, Shuhang Gu, Lei Zhang

“…Model-based optimization methods and discriminative learning methods have been the two dominant strategies for solving various inverse problems in low-level…”
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Weighted Nuclear Norm Minimization and Its Applications to Low Level Vision by Gu, Shuhang, Xie, Qi, Meng, Deyu, Zuo, Wangmeng, Feng, Xiangchu, Zhang, Lei

“…As a convex relaxation of the rank minimization model, the nuclear norm minimization (NNM) problem has been attracting significant research interest in recent…”
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You Only Look Yourself: Unsupervised and Untrained Single Image Dehazing Neural Network by Li, Boyun, Gou, Yuanbiao, Gu, Shuhang, Liu, Jerry Zitao, Zhou, Joey Tianyi, Peng, Xi

“…In this paper, we study two challenging and less-touched problems in single image dehazing, namely, how to make deep learning achieve image dehazing without…”
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Weighted Nuclear Norm Minimization with Application to Image Denoising by Shuhang Gu, Lei Zhang, Wangmeng Zuo, Xiangchu Feng

“…As a convex relaxation of the low rank matrix factorization problem, the nuclear norm minimization has been attracting significant research interest in recent…”
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Weighted Schatten p -Norm Minimization for Image Denoising and Background Subtraction by Xie, Yuan, Gu, Shuhang, Liu, Yan, Zuo, Wangmeng, Zhang, Wensheng, Zhang, Lei

“…Low rank matrix approximation (LRMA), which aims to recover the underlying low rank matrix from its degraded observation, has a wide range of applications in…”
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Learning Convolutional Networks for Content-Weighted Image Compression by Li, Mu, Zuo, Wangmeng, Gu, Shuhang, Zhao, Debin, Zhang, David

“…Lossy image compression is generally formulated as a joint rate-distortion optimization problem to learn encoder, quantizer, and decoder. Due to the…”
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Learning Content-Weighted Deep Image Compression by Li, Mu, Zuo, Wangmeng, Gu, Shuhang, You, Jane, Zhang, David

“…Learning-based lossy image compression usually involves the joint optimization of rate-distortion performance, and requires to cope with the spatial variation…”
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Joint Convolutional Analysis and Synthesis Sparse Representation for Single Image Layer Separation by Shuhang Gu, Deyu Meng, Wangmeng Zuo, Lei Zhang

“…Analysis sparse representation (ASR) and synthesis sparse representation (SSR) are two representative approaches for sparsity-based image modeling. An image is…”
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Learning Iteration-wise Generalized Shrinkage-Thresholding Operators for Blind Deconvolution by Wangmeng Zuo, Dongwei Ren, Zhang, David, Shuhang Gu, Lei Zhang

“…Salient edge selection and time-varying regularization are two crucial techniques to guarantee the success of maximum a posteriori (MAP)-based blind…”
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Learning Filter Basis for Convolutional Neural Network Compression by Li, Yawei, Gu, Shuhang, Van Gool, Luc, Timofte, Radu

“…Convolutional neural networks (CNNs) based solutions have achieved state-of-the-art performances for many computer vision tasks, including classification and…”
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Convolutional Sparse Coding for Image Super-Resolution by Gu, Shuhang, Zuo, Wangmeng, Xie, Qi, Meng, Deyu, Feng, Xiangchu, Zhang, Lei

“…Most of the previous sparse coding (SC) based super resolution (SR) methods partition the image into overlapped patches, and process each patch separately…”
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Multispectral Images Denoising by Intrinsic Tensor Sparsity Regularization by Qi Xie, Qian Zhao, Deyu Meng, Zongben Xu, Shuhang Gu, Wangmeng Zuo, Lei Zhang

“…Multispectral images (MSI) can help deliver more faithful representation for real scenes than the traditional image system, and enhance the performance of many…”
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Learning Dynamic Guidance for Depth Image Enhancement by Shuhang Gu, Wangmeng Zuo, Shi Guo, Yunjin Chen, Chongyu Chen, Lei Zhang

“…The depth images acquired by consumer depth sensors (e.g., Kinect and ToF) usually are of low resolution and insufficient quality. One natural solution is to…”
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Dictionary Pair Classifier Driven Convolutional Neural Networks for Object Detection by Keze Wang, Liang Lin, Wangmeng Zuo, Shuhang Gu, Lei Zhang

“…Feature representation and object category classification are two key components of most object detection methods. While significant improvements have been…”
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Discriminative learning of iteration-wise priors for blind deconvolution by Wangmeng Zuo, Dongwei Ren, Shuhang Gu, Liang Lin, Lei Zhang

“…The maximum a posterior (MAP)-based blind deconvolution framework generally involves two stages: blur kernel estimation and non-blind restoration. For blur…”
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Fast image super resolution via local regression by Shuhang Gu, Nong Sang, Fan Ma

“…In this paper, we propose a super resolution method based on linear regression in different middle-frequency texture categories. We benefit from the hypothesis…”
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AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and Results by Lugmayr, Andreas, Danelljan, Martin, Timofte, Radu, Fritsche, Manuel, Gu, Shuhang, Purohit, Kuldeep, Kandula, Praveen, Suin, Maitreya, A. N., Rajagoapalan, Joon, Nam Hyung, Won, Yu Seung, Kim, Guisik, Kwon, Dokyeong, Hsu, Chih-Chung, Lin, Chia-Hsiang, Huang, Yuanfei, Sun, Xiaopeng, Lu, Wen, Li, Jie, Gao, Xinbo, Bell-Kligler, Sefi, Shocher, Assaf, Irani, Michal

“…This paper reviews the AIM 2019 challenge on real world super-resolution. It focuses on the participating methods and final results. The challenge addresses…”
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Deep Coupled Feedback Network for Joint Exposure Fusion and Image Super-Resolution by Deng, Xin, Zhang, Yutong, Xu, Mai, Gu, Shuhang, Duan, Yiping

“…Nowadays, people are getting used to taking photos to record their daily life, however, the photos are actually not consistent with the real natural scenes…”
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Exploiting Intra-Slice and Inter-Slice Redundancy for Learning-Based Lossless Volumetric Image Compression by Chen, Zhenghao, Gu, Shuhang, Lu, Guo, Xu, Dong

“…3D volumetric image processing has attracted increasing attention in the last decades, in which one major research area is to develop efficient lossless…”
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