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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781 to 840 of 1,302

Finding Covid-19 from Chest X-rays using Deep Learning on a Small Dataset
Lawrence O. Hall, Rahul Paul, Dmitry B. Goldgof +1
eess.IVcs.CVcs.LGarXiv:2004.02060v42020
ViT-V-Net: Vision Transformer for Unsupervised Volumetric Medical Image Registration
Junyu Chen, Yufan He, Eric C. Frey +2
eess.IVcs.CVarXiv:2104.06468v12021
A deep learning system for differential diagnosis of skin diseases
Yuan Liu, Ayush Jain, Clara Eng +19
eess.IVcs.CVarXiv:1909.05382v12019
Brain MRI Super Resolution Using 3D Deep Densely Connected Neural Networks
Yuhua Chen, Yibin Xie, Zhengwei Zhou +3
cs.CVeess.IVarXiv:1801.02728v12018
Towards an Effective and Efficient Deep Learning Model for COVID-19 Patterns Detection in X-ray Images
Eduardo Luz, Pedro Lopes Silva, Rodrigo Silva +3
eess.IVcs.CVcs.LGarXiv:2004.05717v52020
Cross-domain Correspondence Learning for Exemplar-based Image Translation
Pan Zhang, Bo Zhang, Dong Chen +2
cs.CVcs.GReess.IVarXiv:2004.05571v12020
VisualVoice: Audio-Visual Speech Separation with Cross-Modal Consistency
Ruohan Gao, Kristen Grauman
cs.CVcs.SDeess.IVarXiv:2101.03149v22021
PanNuke Dataset Extension, Insights and Baselines
Jevgenij Gamper, Navid Alemi Koohbanani, Ksenija Benes +6
eess.IVcs.CVq-bio.QMarXiv:2003.10778v72020
TResNet: High Performance GPU-Dedicated Architecture
Tal Ridnik, Hussam Lawen, Asaf Noy +3
cs.CVcs.LGeess.IVarXiv:2003.13630v32020
X2CT-GAN: Reconstructing CT from Biplanar X-Rays with Generative Adversarial Networks
Xingde Ying, Heng Guo, Kai Ma +3
eess.IVcs.CVarXiv:1905.06902v12019
FourLLIE: Boosting Low-Light Image Enhancement by Fourier Frequency Information
Chenxi Wang, Hongjun Wu, Zhi Jin
cs.CVeess.IVarXiv:2308.03033v12023
Missing MRI Pulse Sequence Synthesis using Multi-Modal Generative Adversarial Network
Anmol Sharma, Ghassan Hamarneh
eess.IVcs.AIcs.CVarXiv:1904.12200v32019
A Physics-based Noise Formation Model for Extreme Low-light Raw Denoising
Kaixuan Wei, Ying Fu, Jiaolong Yang +1
eess.IVcs.CVarXiv:2003.12751v22020
InfoNeRF: Ray Entropy Minimization for Few-Shot Neural Volume Rendering
Mijeong Kim, Seonguk Seo, Bohyung Han
cs.CVcs.GReess.IVarXiv:2112.15399v22021
Hyperspectral Image Classification with Attention Aided CNNs
Renlong Hang, Zhu Li, Qingshan Liu +2
eess.IVcs.CVarXiv:2005.11977v22020
Vine disease detection in UAV multispectral images with deep learning segmentation approach
Mohamed Kerkech, Adel Hafiane, Raphael Canals
eess.IVarXiv:1912.05281v12019
Ada-TokenCom: Rate-Adaptive Token Communications via Large-Model-Driven Token Compression and Generation
Zijun Zhang, Li Qiao, Mahdi Boloursaz Mashhadi +3
cs.ITcs.CVeess.IVarXiv:2608.28086v12026
Deep-neural-network based sinogram synthesis for sparse-view CT image reconstruction
Hoyeon Lee, Jongha Lee, Hyeongseok Kim +2
physics.med-phcs.CVeess.IVarXiv:1803.00694v22018
Change Detection Methods for Remote Sensing in the Last Decade: A Comprehensive Review
Guangliang Cheng, Yunmeng Huang, Xiangtai Li +4
cs.CVcs.LGeess.IVarXiv:2305.05813v12023
Multi-Temporal Recurrent Neural Networks For Progressive Non-Uniform Single Image Deblurring With Incremental Temporal Training
Dongwon Park, Dong Un Kang, Jisoo Kim +1
eess.IVcs.CVarXiv:1911.07410v12019
More Diverse Means Better: Multimodal Deep Learning Meets Remote Sensing Imagery Classification
Danfeng Hong, Lianru Gao, Naoto Yokoya +4
cs.CVeess.IVarXiv:2008.05457v12020
Video Face Manipulation Detection Through Ensemble of CNNs
Nicolò Bonettini, Edoardo Daniele Cannas, Sara Mandelli +3
cs.CVcs.MMeess.IVarXiv:2004.07676v12020
PHiSeg: Capturing Uncertainty in Medical Image Segmentation
Christian F. Baumgartner, Kerem C. Tezcan, Krishna Chaitanya +6
eess.IVcs.LGstat.MLarXiv:1906.04045v22019
DeepISP: Towards Learning an End-to-End Image Processing Pipeline
Eli Schwartz, Raja Giryes, Alex M. Bronstein
eess.IVcs.CVarXiv:1801.06724v22018
Machine Learning Techniques for Biomedical Image Segmentation: An Overview of Technical Aspects and Introduction to State-of-Art Applications
Hyunseok Seo, Masoud Badiei Khuzani, Varun Vasudevan +5
eess.IVcs.CVcs.LGarXiv:1911.02521v12019
DuDoNet: Dual Domain Network for CT Metal Artifact Reduction
Wei-An Lin, Haofu Liao, Cheng Peng +5
eess.IVcs.CVarXiv:1907.00273v12019
CheXtriev: Anatomy-Centered Representation for Case-Based Retrieval of Chest Radiographs
Naren Akash, Arihanth Tadanki, Jayanthi Sivaswamy
eess.IVcs.AIcs.CVarXiv:2608.28137v12026
Self-supervised learning methods and applications in medical imaging analysis: A survey
Saeed Shurrab, Rehab Duwairi
eess.IVcs.CVcs.LGarXiv:2109.08685v32021
Do Medical Vision Models Reason About Anatomy? Probing the Spatial Inductive Biases of Learned Visual Representations
Naren Akash, Neeraja Ramanan
eess.IVcs.AIcs.CVarXiv:2608.28092v12026
3D Self-Supervised Methods for Medical Imaging
Aiham Taleb, Winfried Loetzsch, Noel Danz +4
cs.CVcs.LGeess.IVarXiv:2006.03829v32020
Frequency Separation for Real-World Super-Resolution
Manuel Fritsche, Shuhang Gu, Radu Timofte
eess.IVcs.CVarXiv:1911.07850v12019
CARDINAL Predicts Cardiovascular Risk From Non-contrast Cardiac CT
Roy Gabriel, Nattakorn Kittisut, Jamshid Hassanpour +6
eess.IVcs.AIcs.CVarXiv:2608.27690v12026
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location
Osman Semih Kayhan, Jan C. van Gemert
cs.CVcs.LGeess.IVarXiv:2003.07064v22020
SynthMorph: learning contrast-invariant registration without acquired images
Malte Hoffmann, Benjamin Billot, Douglas N. Greve +3
eess.IVcs.CVq-bio.NCarXiv:2004.10282v42020
EGE-UNet: an Efficient Group Enhanced UNet for skin lesion segmentation
Jiacheng Ruan, Mingye Xie, Jingsheng Gao +2
eess.IVcs.CVarXiv:2307.08473v12023
Destroy Me: Automatic Artifact Generation for Histopathology Images
Zuzanna Krawczyk-Borysiak, Adam Krawczyk, Mateusz Miller +4
eess.IVcs.AIcs.CVarXiv:2608.27516v12026
LadderNet: Multi-path networks based on U-Net for medical image segmentation
Juntang Zhuang
cs.CVeess.IVarXiv:1810.07810v42018
EPOS: Estimating 6D Pose of Objects with Symmetries
Tomas Hodan, Daniel Barath, Jiri Matas
cs.CVcs.LGcs.ROarXiv:2004.00605v12020
Breast cancer detection using artificial intelligence techniques: A systematic literature review
Ali Bou Nassif, Manar Abu Talib, Qassim Nasir +2
eess.IVcs.AIcs.CVarXiv:2203.04308v12022
M-LVC: Multiple Frames Prediction for Learned Video Compression
Jianping Lin, Dong Liu, Houqiang Li +1
eess.IVcs.CVcs.LGarXiv:2004.10290v12020
Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging
Ruining Deng, Can Cui, Quan Liu +13
eess.IVcs.CVarXiv:2304.04155v12023
SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition
Zhixuan Lin, Yi-Fu Wu, Skand Vishwanath Peri +5
cs.LGcs.CVeess.IVarXiv:2001.02407v32020
Retinal vessel segmentation based on Fully Convolutional Neural Networks
Américo Oliveira, Sérgio Pereira, Carlos A. Silva
eess.IVcs.LGstat.MLarXiv:1812.07110v22018
Disentangling Light Fields for Super-Resolution and Disparity Estimation
Yingqian Wang, Longguang Wang, Gaochang Wu +4
eess.IVcs.CVarXiv:2202.10603v52022
Hybrid Spatial-Temporal Entropy Modelling for Neural Video Compression
Jiahao Li, Bin Li, Yan Lu
eess.IVcs.CVcs.MMarXiv:2207.05894v12022
Variable Rate Deep Image Compression With a Conditional Autoencoder
Yoojin Choi, Mostafa El-Khamy, Jungwon Lee
eess.IVcs.CVarXiv:1909.04802v12019
Zoom To Learn, Learn To Zoom
Xuaner Cecilia Zhang, Qifeng Chen, Ren Ng +1
cs.CVeess.IVarXiv:1905.05169v12019
DeepCervix: A Deep Learning-based Framework for the Classification of Cervical Cells Using Hybrid Deep Feature Fusion Techniques
Md Mamunur Rahaman, Chen Li, Yudong Yao +4
eess.IVcs.CVarXiv:2102.12191v22021
Scan2Cap: Context-aware Dense Captioning in RGB-D Scans
Dave Zhenyu Chen, Ali Gholami, Matthias Nießner +1
cs.CVcs.LGeess.IVarXiv:2012.02206v12020
Single Image Deraining: From Model-Based to Data-Driven and Beyond
Wenhan Yang, Robby T. Tan, Shiqi Wang +2
eess.IVcs.CVarXiv:1912.07150v22019
TeCNO: Surgical Phase Recognition with Multi-Stage Temporal Convolutional Networks
Tobias Czempiel, Magdalini Paschali, Matthias Keicher +4
eess.IVcs.CVcs.LGarXiv:2003.10751v12020
Densely Residual Laplacian Super-Resolution
Saeed Anwar, Nick Barnes
eess.IVcs.CVarXiv:1906.12021v22019
Local Texture Estimator for Implicit Representation Function
Jaewon Lee, Kyong Hwan Jin
cs.CVeess.IVarXiv:2111.08918v62021
Image Reconstruction: From Sparsity to Data-adaptive Methods and Machine Learning
Saiprasad Ravishankar, Jong Chul Ye, Jeffrey A. Fessler
eess.IVcs.LGstat.MLarXiv:1904.02816v32019
Nonlinear Transform Coding
Johannes Ballé, Philip A. Chou, David Minnen +5
cs.ITeess.IVarXiv:2007.03034v22020
mmFormer: Multimodal Medical Transformer for Incomplete Multimodal Learning of Brain Tumor Segmentation
Yao Zhang, Nanjun He, Jiawei Yang +6
eess.IVcs.CVarXiv:2206.02425v22022
PST900: RGB-Thermal Calibration, Dataset and Segmentation Network
Shreyas S. Shivakumar, Neil Rodrigues, Alex Zhou +3
cs.CVcs.ROeess.IVarXiv:1909.10980v12019
Wireless Semantic Communications for Video Conferencing
Peiwen Jiang, Chao-Kai Wen, Shi Jin +1
eess.IVeess.SParXiv:2204.07790v12022
Exploring Smoothness and Class-Separation for Semi-supervised Medical Image Segmentation
Yicheng Wu, Zhonghua Wu, Qianyi Wu +2
eess.IVcs.CVarXiv:2203.01324v32022
AutoGAN: Neural Architecture Search for Generative Adversarial Networks
Xinyu Gong, Shiyu Chang, Yifan Jiang +1
cs.CVcs.LGeess.IVarXiv:1908.03835v12019

Image and Video Processing

Finding Covid-19 from Chest X-rays using Deep Learning on a Small Dataset

ViT-V-Net: Vision Transformer for Unsupervised Volumetric Medical Image Registration

A deep learning system for differential diagnosis of skin diseases

Brain MRI Super Resolution Using 3D Deep Densely Connected Neural Networks

Towards an Effective and Efficient Deep Learning Model for COVID-19 Patterns Detection in X-ray Images

Cross-domain Correspondence Learning for Exemplar-based Image Translation

VisualVoice: Audio-Visual Speech Separation with Cross-Modal Consistency

PanNuke Dataset Extension, Insights and Baselines

TResNet: High Performance GPU-Dedicated Architecture

X2CT-GAN: Reconstructing CT from Biplanar X-Rays with Generative Adversarial Networks

FourLLIE: Boosting Low-Light Image Enhancement by Fourier Frequency Information

Missing MRI Pulse Sequence Synthesis using Multi-Modal Generative Adversarial Network

A Physics-based Noise Formation Model for Extreme Low-light Raw Denoising

InfoNeRF: Ray Entropy Minimization for Few-Shot Neural Volume Rendering

Hyperspectral Image Classification with Attention Aided CNNs

Vine disease detection in UAV multispectral images with deep learning segmentation approach

Ada-TokenCom: Rate-Adaptive Token Communications via Large-Model-Driven Token Compression and Generation

Deep-neural-network based sinogram synthesis for sparse-view CT image reconstruction

Change Detection Methods for Remote Sensing in the Last Decade: A Comprehensive Review

Multi-Temporal Recurrent Neural Networks For Progressive Non-Uniform Single Image Deblurring With Incremental Temporal Training

More Diverse Means Better: Multimodal Deep Learning Meets Remote Sensing Imagery Classification

Video Face Manipulation Detection Through Ensemble of CNNs

PHiSeg: Capturing Uncertainty in Medical Image Segmentation

DeepISP: Towards Learning an End-to-End Image Processing Pipeline

Machine Learning Techniques for Biomedical Image Segmentation: An Overview of Technical Aspects and Introduction to State-of-Art Applications

DuDoNet: Dual Domain Network for CT Metal Artifact Reduction

CheXtriev: Anatomy-Centered Representation for Case-Based Retrieval of Chest Radiographs

Self-supervised learning methods and applications in medical imaging analysis: A survey

Do Medical Vision Models Reason About Anatomy? Probing the Spatial Inductive Biases of Learned Visual Representations

3D Self-Supervised Methods for Medical Imaging

Frequency Separation for Real-World Super-Resolution

CARDINAL Predicts Cardiovascular Risk From Non-contrast Cardiac CT

On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location

SynthMorph: learning contrast-invariant registration without acquired images

EGE-UNet: an Efficient Group Enhanced UNet for skin lesion segmentation

Destroy Me: Automatic Artifact Generation for Histopathology Images

LadderNet: Multi-path networks based on U-Net for medical image segmentation

EPOS: Estimating 6D Pose of Objects with Symmetries

Breast cancer detection using artificial intelligence techniques: A systematic literature review

M-LVC: Multiple Frames Prediction for Learned Video Compression

Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging

SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition

Retinal vessel segmentation based on Fully Convolutional Neural Networks

Disentangling Light Fields for Super-Resolution and Disparity Estimation

Hybrid Spatial-Temporal Entropy Modelling for Neural Video Compression

Variable Rate Deep Image Compression With a Conditional Autoencoder

Zoom To Learn, Learn To Zoom

DeepCervix: A Deep Learning-based Framework for the Classification of Cervical Cells Using Hybrid Deep Feature Fusion Techniques

Scan2Cap: Context-aware Dense Captioning in RGB-D Scans

Single Image Deraining: From Model-Based to Data-Driven and Beyond

TeCNO: Surgical Phase Recognition with Multi-Stage Temporal Convolutional Networks

Densely Residual Laplacian Super-Resolution

Local Texture Estimator for Implicit Representation Function

Image Reconstruction: From Sparsity to Data-adaptive Methods and Machine Learning

Nonlinear Transform Coding

mmFormer: Multimodal Medical Transformer for Incomplete Multimodal Learning of Brain Tumor Segmentation

PST900: RGB-Thermal Calibration, Dataset and Segmentation Network

Wireless Semantic Communications for Video Conferencing

Exploring Smoothness and Class-Separation for Semi-supervised Medical Image Segmentation

AutoGAN: Neural Architecture Search for Generative Adversarial Networks