Image and Video Processing

Papers filed under eess.IV on arXiv, each one already summarized by Paperlayer. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.

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841 to 900 of 1,302

AttentionGAN: Unpaired Image-to-Image Translation using Attention-Guided Generative Adversarial Networks
Hao Tang, Hong Liu, Dan Xu +2
cs.CVcs.LGeess.IVarXiv:1911.11897v52019
Liquid Warping GAN: A Unified Framework for Human Motion Imitation, Appearance Transfer and Novel View Synthesis
Wen Liu, Zhixin Piao, Jie Min +3
cs.CVcs.LGeess.IVarXiv:1909.12224v32019
Diving Deeper into Underwater Image Enhancement: A Survey
Saeed Anwar, Chongyi Li
cs.CVcs.LGeess.IVarXiv:1907.07863v12019
Shallow-UWnet : Compressed Model for Underwater Image Enhancement
Ankita Naik, Apurva Swarnakar, Kartik Mittal
cs.CVeess.IVarXiv:2101.02073v12021
A Light CNN for detecting COVID-19 from CT scans of the chest
Matteo Polsinelli, Luigi Cinque, Giuseppe Placidi
eess.IVcs.CVcs.LGarXiv:2004.12837v12020
MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation
Abhishek Srivastava, Debesh Jha, Sukalpa Chanda +6
eess.IVcs.CVarXiv:2105.07451v22021
ROSE: A Retinal OCT-Angiography Vessel Segmentation Dataset and New Model
Yuhui Ma, Huaying Hao, Huazhu Fu +5
eess.IVcs.CVarXiv:2007.05201v22020
Spectral Variability in Hyperspectral Data Unmixing: A Comprehensive Review
Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez +6
eess.IVeess.SParXiv:2001.07307v42020
Adaptive Diffusion Priors for Accelerated MRI Reconstruction
Alper Güngör, Salman UH Dar, Şaban Öztürk +4
eess.IVcs.CVarXiv:2207.05876v32022
MosMedData: Chest CT Scans With COVID-19 Related Findings Dataset
S. P. Morozov, A. E. Andreychenko, N. A. Pavlov +7
cs.CYcs.LGeess.IVarXiv:2005.06465v12020
Incremental Learning Techniques for Semantic Segmentation
Umberto Michieli, Pietro Zanuttigh
cs.CVcs.LGeess.IVarXiv:1907.13372v42019
Stepwise Feature Fusion: Local Guides Global
Jinfeng Wang, Qiming Huang, Feilong Tang +3
eess.IVcs.CVarXiv:2203.03635v32022
DA-TransUNet: Integrating Spatial and Channel Dual Attention with Transformer U-Net for Medical Image Segmentation
Guanqun Sun, Yizhi Pan, Weikun Kong +5
eess.IVcs.CVcs.GRarXiv:2310.12570v22023
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning
Alessa Hering, Lasse Hansen, Tony C. W. Mok +50
eess.IVcs.CVarXiv:2112.04489v32021
A megapixel time-gated SPAD image sensor for 2D and 3D imaging applications
Kazuhiro Morimoto, Andrei Ardelean, Ming-Lo Wu +4
eess.IVphysics.ins-detarXiv:1912.12910v12019
Invertible Image Rescaling
Mingqing Xiao, Shuxin Zheng, Chang Liu +6
eess.IVcs.CVcs.LGarXiv:2005.05650v12020
One-Step Effective Diffusion Network for Real-World Image Super-Resolution
Rongyuan Wu, Lingchen Sun, Zhiyuan Ma +1
eess.IVcs.CVarXiv:2406.08177v32024
Learning Spatial-Spectral Prior for Super-Resolution of Hyperspectral Imagery
Junjun Jiang, He Sun, Xianming Liu +1
eess.IVcs.CVcs.LGarXiv:2005.08752v22020
Single-Image HDR Reconstruction by Learning to Reverse the Camera Pipeline
Yu-Lun Liu, Wei-Sheng Lai, Yu-Sheng Chen +4
eess.IVcs.CVarXiv:2004.01179v12020
Cross-Modality Attentive Feature Fusion for Object Detection in Multispectral Remote Sensing Imagery
Qingyun Fang, Zhaokui Wang
cs.CVcs.AIeess.IVarXiv:2112.02991v12021
Multi-level Wavelet Convolutional Neural Networks
Pengju Liu, Hongzhi Zhang, Wei Lian +1
cs.CVeess.IVarXiv:1907.03128v12019
Deep Learning Approaches for Data Augmentation in Medical Imaging: A Review
Aghiles Kebaili, Jérôme Lapuyade-Lahorgue, Su Ruan
eess.IVcs.CVarXiv:2307.13125v12023
Defocus Deblurring Using Dual-Pixel Data
Abdullah Abuolaim, Michael S. Brown
eess.IVcs.CVarXiv:2005.00305v32020
CS2-Net: Deep Learning Segmentation of Curvilinear Structures in Medical Imaging
Lei Mou, Yitian Zhao, Huazhu Fu +9
eess.IVcs.CVarXiv:2010.07486v22020
Key Points Estimation and Point Instance Segmentation Approach for Lane Detection
Yeongmin Ko, Younkwan Lee, Shoaib Azam +3
cs.CVcs.LGeess.IVarXiv:2002.06604v42020
Machine Learning-based Lung and Colon Cancer Detection using Deep Feature Extraction and Ensemble Learning
Md. Alamin Talukder, Md. Manowarul Islam, Md Ashraf Uddin +3
eess.IVcs.CVcs.LGarXiv:2206.01088v22022
Whole Slide Images are 2D Point Clouds: Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks
Richard J. Chen, Ming Y. Lu, Muhammad Shaban +4
eess.IVcs.CVq-bio.TOarXiv:2107.13048v12021
A Deep Learning based No-reference Quality Assessment Model for UGC Videos
Wei Sun, Xiongkuo Min, Wei Lu +1
cs.CVcs.MMeess.IVarXiv:2204.14047v22022
Segment Anything in Medical Images
Jun Ma, Yuting He, Feifei Li +3
eess.IVcs.CVarXiv:2304.12306v32023
Deep Learning on Image Denoising: An overview
Chunwei Tian, Lunke Fei, Wenxian Zheng +3
eess.IVcs.CVarXiv:1912.13171v42019
FastSurfer -- A fast and accurate deep learning based neuroimaging pipeline
Leonie Henschel, Sailesh Conjeti, Santiago Estrada +3
eess.IVcs.CVq-bio.NCarXiv:1910.03866v42019
Impact of Fully Connected Layers on Performance of Convolutional Neural Networks for Image Classification
S. H. Shabbeer Basha, Shiv Ram Dubey, Viswanath Pulabaigari +1
cs.CVcs.LGcs.NEarXiv:1902.02771v32019
Guided Collaborative Training for Pixel-wise Semi-Supervised Learning
Zhanghan Ke, Di Qiu, Kaican Li +2
cs.CVcs.LGeess.IVarXiv:2008.05258v12020
Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks
Zhonghui You, Kun Yan, Jinmian Ye +2
cs.CVcs.LGeess.IVarXiv:1909.08174v12019
GANs for Medical Image Synthesis: An Empirical Study
Youssef Skandarani, Pierre-Marc Jodoin, Alain Lalande
eess.IVcs.CVcs.LGarXiv:2105.05318v22021
Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in Chest X-rays
Sivaramakrishnan Rajaraman, Jen Siegelman, Philip O. Alderson +3
eess.IVcs.CVcs.LGarXiv:2004.08379v32020
CycleMorph: Cycle Consistent Unsupervised Deformable Image Registration
Boah Kim, Dong Hwan Kim, Seong Ho Park +3
cs.CVcs.LGeess.IVarXiv:2008.05772v12020
Simultaneous Enhancement and Super-Resolution of Underwater Imagery for Improved Visual Perception
Md Jahidul Islam, Peigen Luo, Junaed Sattar
cs.CVcs.ROeess.IVarXiv:2002.01155v12020
Diff-Retinex: Rethinking Low-light Image Enhancement with A Generative Diffusion Model
Xunpeng Yi, Han Xu, Hao Zhang +2
cs.CVeess.IVarXiv:2308.13164v12023
Medical Image Segmentation Using Deep Learning: A Survey
Risheng Wang, Tao Lei, Ruixia Cui +3
eess.IVcs.CVarXiv:2009.13120v32020
Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation
Alireza Mehrtash, William M. Wells, Clare M. Tempany +2
eess.IVcs.CVarXiv:1911.13273v22019
FastDVDnet: Towards Real-Time Deep Video Denoising Without Flow Estimation
Matias Tassano, Julie Delon, Thomas Veit
cs.CVcs.GRcs.LGarXiv:1907.01361v22019
PIPAL: a Large-Scale Image Quality Assessment Dataset for Perceptual Image Restoration
Jinjin Gu, Haoming Cai, Haoyu Chen +3
eess.IVcs.CVarXiv:2007.12142v22020
IterNet: Retinal Image Segmentation Utilizing Structural Redundancy in Vessel Networks
Liangzhi Li, Manisha Verma, Yuta Nakashima +2
eess.IVcs.CVarXiv:1912.05763v12019
Single Image Portrait Relighting
Tiancheng Sun, Jonathan T. Barron, Yun-Ta Tsai +7
cs.GRcs.CVeess.IVarXiv:1905.00824v12019
COVIDGR dataset and COVID-SDNet methodology for predicting COVID-19 based on Chest X-Ray images
S. Tabik, A. Gómez-Ríos, J. L. Martín-Rodríguez +10
eess.IVcs.CVarXiv:2006.01409v32020
CaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical Objects
Ange Lou, Shuyue Guan, Hanseok Ko +1
eess.IVcs.CVarXiv:2108.07368v32021
Visual Attention Methods in Deep Learning: An In-Depth Survey
Mohammed Hassanin, Saeed Anwar, Ibrahim Radwan +2
cs.CVcs.AIcs.LGarXiv:2204.07756v32022
DLow: Diversifying Latent Flows for Diverse Human Motion Prediction
Ye Yuan, Kris Kitani
cs.CVcs.LGeess.IVarXiv:2003.08386v22020
Outlining where humans live -- The World Settlement Footprint 2015
Mattia Marconcini, Annekatrin Metz-Marconcini, Soner Üreyen +8
eess.IVcs.CVarXiv:1910.12707v12019
Weakly-Supervised Semantic Segmentation via Sub-category Exploration
Yu-Ting Chang, Qiaosong Wang, Wei-Chih Hung +3
cs.CVcs.LGeess.IVarXiv:2008.01183v12020
Channel prior convolutional attention for medical image segmentation
Hejun Huang, Zuguo Chen, Ying Zou +2
eess.IVcs.CVarXiv:2306.05196v12023
Extracting possibly representative COVID-19 Biomarkers from X-Ray images with Deep Learning approach and image data related to Pulmonary Diseases
Ioannis D. Apostolopoulos, Sokratis Aznaouridis, Mpesiana Tzani
eess.IVarXiv:2004.00338v22020
Large-Scale Study of Perceptual Video Quality
Zeina Sinno, Alan C. Bovik
eess.IVarXiv:1803.01761v22018
YouTube UGC Dataset for Video Compression Research
Yilin Wang, Sasi Inguva, Balu Adsumilli
cs.MMeess.IVarXiv:1904.06457v22019
AMP-Net: Denoising based Deep Unfolding for Compressive Image Sensing
Zhonghao Zhang, Yipeng Liu, Jiani Liu +2
eess.IVcs.CVarXiv:2004.10078v22020
Fast Hyperspectral Image Denoising and Inpainting Based on Low-Rank and Sparse Representations
Lina Zhuang, Jose M. Bioucas-Dias
eess.IVcs.CVarXiv:2103.06842v12021
Optimal Clustering Framework for Hyperspectral Band Selection
Qi Wang, Fahong Zhang, Xuelong Li
eess.IVcs.LGstat.MLarXiv:1904.13036v12019
WIRE: Wavelet Implicit Neural Representations
Vishwanath Saragadam, Daniel LeJeune, Jasper Tan +3
cs.CVcs.GReess.IVarXiv:2301.05187v12023
PUGAN: Physical Model-Guided Underwater Image Enhancement Using GAN with Dual-Discriminators
Runmin Cong, Wenyu Yang, Wei Zhang +4
eess.IVcs.CVarXiv:2306.08918v22023

Image and Video Processing

AttentionGAN: Unpaired Image-to-Image Translation using Attention-Guided Generative Adversarial Networks

Liquid Warping GAN: A Unified Framework for Human Motion Imitation, Appearance Transfer and Novel View Synthesis

Diving Deeper into Underwater Image Enhancement: A Survey

Shallow-UWnet : Compressed Model for Underwater Image Enhancement

A Light CNN for detecting COVID-19 from CT scans of the chest

MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation

ROSE: A Retinal OCT-Angiography Vessel Segmentation Dataset and New Model

Spectral Variability in Hyperspectral Data Unmixing: A Comprehensive Review

Adaptive Diffusion Priors for Accelerated MRI Reconstruction

MosMedData: Chest CT Scans With COVID-19 Related Findings Dataset

Incremental Learning Techniques for Semantic Segmentation

Stepwise Feature Fusion: Local Guides Global

DA-TransUNet: Integrating Spatial and Channel Dual Attention with Transformer U-Net for Medical Image Segmentation

Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning

A megapixel time-gated SPAD image sensor for 2D and 3D imaging applications

Invertible Image Rescaling

One-Step Effective Diffusion Network for Real-World Image Super-Resolution

Learning Spatial-Spectral Prior for Super-Resolution of Hyperspectral Imagery

Single-Image HDR Reconstruction by Learning to Reverse the Camera Pipeline

Cross-Modality Attentive Feature Fusion for Object Detection in Multispectral Remote Sensing Imagery

Multi-level Wavelet Convolutional Neural Networks

Deep Learning Approaches for Data Augmentation in Medical Imaging: A Review

Defocus Deblurring Using Dual-Pixel Data

CS2-Net: Deep Learning Segmentation of Curvilinear Structures in Medical Imaging

Key Points Estimation and Point Instance Segmentation Approach for Lane Detection

Machine Learning-based Lung and Colon Cancer Detection using Deep Feature Extraction and Ensemble Learning

Whole Slide Images are 2D Point Clouds: Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks

A Deep Learning based No-reference Quality Assessment Model for UGC Videos

Segment Anything in Medical Images

Deep Learning on Image Denoising: An overview

FastSurfer -- A fast and accurate deep learning based neuroimaging pipeline

Impact of Fully Connected Layers on Performance of Convolutional Neural Networks for Image Classification

Guided Collaborative Training for Pixel-wise Semi-Supervised Learning

Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks

GANs for Medical Image Synthesis: An Empirical Study

Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in Chest X-rays

CycleMorph: Cycle Consistent Unsupervised Deformable Image Registration

Simultaneous Enhancement and Super-Resolution of Underwater Imagery for Improved Visual Perception

Diff-Retinex: Rethinking Low-light Image Enhancement with A Generative Diffusion Model

Medical Image Segmentation Using Deep Learning: A Survey

Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation

FastDVDnet: Towards Real-Time Deep Video Denoising Without Flow Estimation

PIPAL: a Large-Scale Image Quality Assessment Dataset for Perceptual Image Restoration

IterNet: Retinal Image Segmentation Utilizing Structural Redundancy in Vessel Networks

Single Image Portrait Relighting

COVIDGR dataset and COVID-SDNet methodology for predicting COVID-19 based on Chest X-Ray images

CaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical Objects

Visual Attention Methods in Deep Learning: An In-Depth Survey

DLow: Diversifying Latent Flows for Diverse Human Motion Prediction

Outlining where humans live -- The World Settlement Footprint 2015

Weakly-Supervised Semantic Segmentation via Sub-category Exploration

Channel prior convolutional attention for medical image segmentation

Extracting possibly representative COVID-19 Biomarkers from X-Ray images with Deep Learning approach and image data related to Pulmonary Diseases

Large-Scale Study of Perceptual Video Quality

YouTube UGC Dataset for Video Compression Research

AMP-Net: Denoising based Deep Unfolding for Compressive Image Sensing

Fast Hyperspectral Image Denoising and Inpainting Based on Low-Rank and Sparse Representations

Optimal Clustering Framework for Hyperspectral Band Selection

WIRE: Wavelet Implicit Neural Representations

PUGAN: Physical Model-Guided Underwater Image Enhancement Using GAN with Dual-Discriminators