Search Results - "IEEE transactions on image processing"

EnlightenGAN: Deep Light Enhancement Without Paired Supervision by Jiang, Yifan, Gong, Xinyu, Liu, Ding, Cheng, Yu, Fang, Chen, Shen, Xiaohui, Yang, Jianchao, Zhou, Pan, Wang, Zhangyang

“…Deep learning-based methods have achieved remarkable success in image restoration and enhancement, but are they still competitive when there is a lack of…”
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An Underwater Image Enhancement Benchmark Dataset and Beyond by Li, Chongyi, Guo, Chunle, Ren, Wenqi, Cong, Runmin, Hou, Junhui, Kwong, Sam, Tao, Dacheng

“…Underwater image enhancement has been attracting much attention due to its significance in marine engineering and aquatic robotics. Numerous underwater image…”
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Benchmarking Single-Image Dehazing and Beyond by Li, Boyi, Ren, Wenqi, Fu, Dengpan, Tao, Dacheng, Feng, Dan, Zeng, Wenjun, Wang, Zhangyang

“…We present a comprehensive study and evaluation of existing single-image dehazing algorithms, using a new large-scale benchmark consisting of both synthetic…”
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FFDNet: Toward a Fast and Flexible Solution for CNN-Based Image Denoising by Zhang, Kai, Zuo, Wangmeng, Zhang, Lei

“…Due to the fast inference and good performance, discriminative learning methods have been widely studied in image denoising. However, these methods mostly…”
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Underwater Image Enhancement via Medium Transmission-Guided Multi-Color Space Embedding by Li, Chongyi, Anwar, Saeed, Hou, Junhui, Cong, Runmin, Guo, Chunle, Ren, Wenqi

“…Underwater images suffer from color casts and low contrast due to wavelength-and distance-dependent attenuation and scattering. To solve these two degradation…”
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UIU-Net: U-Net in U-Net for Infrared Small Object Detection by Wu, Xin, Hong, Danfeng, Chanussot, Jocelyn

“…Learning-based infrared small object detection methods currently rely heavily on the classification backbone network. This tends to result in tiny object loss…”
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Region Attention Networks for Pose and Occlusion Robust Facial Expression Recognition by Wang, Kai, Peng, Xiaojiang, Yang, Jianfei, Meng, Debin, Qiao, Yu

“…Occlusion and pose variations, which can change facial appearance significantly, are two major obstacles for automatic Facial Expression Recognition (FER)…”
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DDcGAN: A Dual-discriminator Conditional Generative Adversarial Network for Multi-resolution Image Fusion by Ma, Jiayi, Xu, Han, Jiang, Junjun, Mei, Xiaoguang, Zhang, Xiao-Ping

“…In this paper, we proposed a new end-to-end model, termed as dual-discriminator conditional generative adversarial network (DDcGAN), for fusing infrared and…”
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FoveaBox: Beyound Anchor-Based Object Detection by Kong, Tao, Sun, Fuchun, Liu, Huaping, Jiang, Yuning, Li, Lei, Shi, Jianbo

“…We present FoveaBox, an accurate, flexible, and completely anchor-free framework for object detection. While almost all state-of-the-art object detectors…”
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AttGAN: Facial Attribute Editing by Only Changing What You Want by He, Zhenliang, Zuo, Wangmeng, Kan, Meina, Shan, Shiguang, Chen, Xilin

“…Facial attribute editing aims to manipulate single or multiple attributes on a given face image, i.e., to generate a new face image with desired attributes…”
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Deep Convolutional Neural Network for Inverse Problems in Imaging by Jin, Kyong Hwan, McCann, Michael T., Froustey, Emmanuel, Unser, Michael

“…In this paper, we propose a novel deep convolutional neural network (CNN)-based algorithm for solving ill-posed inverse problems. Regularized iterative…”
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An Augmented Linear Mixing Model to Address Spectral Variability for Hyperspectral Unmixing by Danfeng Hong, Yokoya, Naoto, Chanussot, Jocelyn, Xiao Xiang Zhu

“…Hyperspectral imagery collected from airborne or satellite sources inevitably suffers from spectral variability, making it difficult for spectral unmixing to…”
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KonIQ-10k: An Ecologically Valid Database for Deep Learning of Blind Image Quality Assessment by Hosu, Vlad, Lin, Hanhe, Sziranyi, Tamas, Saupe, Dietmar

“…Deep learning methods for image quality assessment (IQA) are limited due to the small size of existing datasets. Extensive datasets require substantial…”
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Underwater Image Enhancement via Minimal Color Loss and Locally Adaptive Contrast Enhancement by Zhang, Weidong, Zhuang, Peixian, Sun, Haihan, Li, Guohou, Kwong, Sam, Li, Chongyi

“…Underwater images typically suffer from color deviations and low visibility due to the wavelength-dependent light absorption and scattering. To deal with these…”
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CGNet: A Light-weight Context Guided Network for Semantic Segmentation by Wu, Tianyi, Tang, Sheng, Rui, Zhang, Cao, Juan, Zhang, Yongdong

“…The demand of applying semantic segmentation model on mobile devices has been increasing rapidly. Current state-of-the-art networks have enormous amount of…”
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Skeleton-Based Action Recognition With Multi-Stream Adaptive Graph Convolutional Networks by Shi, Lei, Zhang, Yifan, Cheng, Jian, Lu, Hanqing

“…Graph convolutional networks (GCNs), which generalize CNNs to more generic non-Euclidean structures, have achieved remarkable performance for skeleton-based…”
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DeepCrack: Learning Hierarchical Convolutional Features for Crack Detection by Zou, Qin, Zhang, Zheng, Li, Qingquan, Qi, Xianbiao, Wang, Qian, Wang, Song

“…Cracks are typical line structures that are of interest in many computer-vision applications. In practice, many cracks, e.g., pavement cracks, show poor…”
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Occlusion Aware Facial Expression Recognition Using CNN With Attention Mechanism by Li, Yong, Zeng, Jiabei, Shan, Shiguang, Chen, Xilin

“…Facial expression recognition in the wild is challenging due to various unconstrained conditions. Although existing facial expression classifiers have been…”
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LIME: Low-Light Image Enhancement via Illumination Map Estimation by Guo, Xiaojie, Li, Yu, Ling, Haibin

“…When one captures images in low-light conditions, the images often suffer from low visibility. Besides degrading the visual aesthetics of images, this poor…”
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DehazeNet: An End-to-End System for Single Image Haze Removal by Cai, Bolun, Xu, Xiangmin, Jia, Kui, Qing, Chunmei, Tao, Dacheng

“…Single image haze removal is a challenging ill-posed problem. Existing methods use various constraints/priors to get plausible dehazing solutions. The key to…”
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