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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1,741 to 1,800 of 1,903

Automatic Grading of Individual Knee Osteoarthritis Features in Plain Radiographs using Deep Convolutional Neural Networks
Aleksei Tiulpin, Simo Saarakkala
eess.IVcs.CVcs.LGarXiv:1907.08020v12019
Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning
Muhammad Naseer Bajwa, Muhammad Imran Malik, Shoaib Ahmed Siddiqui +4
cs.CVcs.LGeess.IVarXiv:2005.14284v12020
Leveraging Cardiac Imaging to Improve ECG-Based Detection of Chagas Disease in Resource-Constrained Settings
Laura Alvarez-Florez, Daniel Uyterlinde, Samuel Ruipérez-Campillo +3
cs.LGcs.AIeess.IVarXiv:2609.08582v12026
NTIRE 2020 Challenge on Spectral Reconstruction from an RGB Image
Boaz Arad, Radu Timofte, Ohad Ben-Shahar +4
eess.IVcs.CVarXiv:2005.03412v12020
Can we trust deep learning models diagnosis? The impact of domain shift in chest radiograph classification
Eduardo H. P. Pooch, Pedro L. Ballester, Rodrigo C. Barros
eess.IVcs.AIcs.CVarXiv:1909.01940v22019
A Machine Learning Benchmark for Facies Classification
Yazeed Alaudah, Patrycja Michalowicz, Motaz Alfarraj +1
eess.IVcs.CVphysics.geo-pharXiv:1901.07659v22019
Real-time Fusion Network for RGB-D Semantic Segmentation Incorporating Unexpected Obstacle Detection for Road-driving Images
Lei Sun, Kailun Yang, Xinxin Hu +2
cs.CVcs.ROeess.IVarXiv:2002.10570v22020
Perceptual Image Quality Assessment with Transformers
Manri Cheon, Sung-Jun Yoon, Byungyeon Kang +1
cs.CVeess.IVarXiv:2104.14730v22021
Mitosis domain generalization in histopathology images -- The MIDOG challenge
Marc Aubreville, Nikolas Stathonikos, Christof A. Bertram +32
eess.IVcs.CVphysics.med-pharXiv:2204.03742v12022
EDCNN: Edge enhancement-based Densely Connected Network with Compound Loss for Low-Dose CT Denoising
Tengfei Liang, Yi Jin, Yidong Li +3
eess.IVcs.CVarXiv:2011.00139v12020
OpenStreetMap: Challenges and Opportunities in Machine Learning and Remote Sensing
John Vargas, Shivangi Srivastava, Devis Tuia +1
cs.CVeess.IVarXiv:2007.06277v12020
End-to-end Prostate Cancer Detection in bpMRI via 3D CNNs: Effects of Attention Mechanisms, Clinical Priori and Decoupled False Positive Reduction
Anindo Saha, Matin Hosseinzadeh, Henkjan Huisman
eess.IVcs.CVarXiv:2101.03244v102021
Deep Learning Techniques for Hyperspectral Image Analysis in Agriculture: A Review
Mohamed Fadhlallah Guerri, Cosimo Distante, Paolo Spagnolo +2
cs.CVeess.IVarXiv:2304.13880v12023
Severity Assessment of Coronavirus Disease 2019 (COVID-19) Using Quantitative Features from Chest CT Images
Zhenyu Tang, Wei Zhao, Xingzhi Xie +4
eess.IVcs.CVarXiv:2003.11988v12020
A Comprehensive Review for Breast Histopathology Image Analysis Using Classical and Deep Neural Networks
Xiaomin Zhou, Chen Li, Md Mamunur Rahaman +6
eess.IVcs.CVarXiv:2003.12255v22020
Attention Enriched Deep Learning Model for Breast Tumor Segmentation in Ultrasound Images
Aleksandar Vakanski, Min Xian, Phoebe Freer
eess.IVcs.LGstat.MLarXiv:1910.08978v22019
Transformer-based Image Compression
Ming Lu, Peiyao Guo, Huiqing Shi +2
eess.IVcs.CVarXiv:2111.06707v12021
Real-World Multi-Modal and Longitudinal Lung Cancer Dataset
Rita Cordeiro Mendes, Maria Rita Fonseca Verdelho, Carlos Santiago +1
eess.IVcs.CVarXiv:2609.05202v12026
Cross-dataset transportability of pediatric chest X-ray deep learning across three countries: discrimination, calibration, operating-point failure, and limited-label recovery
Nazim-E-Alam
eess.IVcs.CVarXiv:2609.05140v12026
Pneumonia Detection on chest X-ray images Using Ensemble of Deep Convolutional Neural Networks
Alhassan Mabrouk, Rebeca P. Díaz Redondo, Abdelghani Dahou +2
eess.IVcs.CVcs.LGarXiv:2312.07965v12023
Lightweight image super-resolution with enhanced CNN
Chunwei Tian, Ruibin Zhuge, Zhihao Wu +4
eess.IVcs.CVarXiv:2007.04344v32020
Automatic Lung Cancer Prediction from Chest X-ray Images Using Deep Learning Approach
Worawate Ausawalaithong, Sanparith Marukatat, Arjaree Thirach +1
eess.IVcs.CVarXiv:1808.10858v12018
RoIMix: Proposal-Fusion among Multiple Images for Underwater Object Detection
Wei-Hong Lin, Jia-Xing Zhong, Shan Liu +2
cs.CVcs.LGeess.IVarXiv:1911.03029v22019
Dual Residual Attention Network for Image Denoising
Wencong Wu, Shijie Liu, Yi Zhou +2
eess.IVcs.CVarXiv:2305.04269v12023
DeepInverse: A Python package for solving imaging inverse problems with deep learning
Julián Tachella, Matthieu Terris, Samuel Hurault +24
eess.IVarXiv:2505.20160v22025
Building Damage Detection in Satellite Imagery Using Convolutional Neural Networks
Joseph Z. Xu, Wenhan Lu, Zebo Li +2
cs.CVcs.LGeess.IVarXiv:1910.06444v12019
Artificial Intelligence Assistance Significantly Improves Gleason Grading of Prostate Biopsies by Pathologists
Wouter Bulten, Maschenka Balkenhol, Jean-Joël Awoumou Belinga +17
eess.IVcs.CVq-bio.QMarXiv:2002.04500v12020
Assessing Reliability and Challenges of Uncertainty Estimations for Medical Image Segmentation
Alain Jungo, Mauricio Reyes
eess.IVcs.CVarXiv:1907.03338v22019
Large-scale neuromorphic optoelectronic computing with a reconfigurable diffractive processing unit
Tiankuang Zhou, Xing Lin, Jiamin Wu +7
eess.IVcs.LGcs.NEarXiv:2008.11659v12020
Comparing Different Deep Learning Architectures for Classification of Chest Radiographs
Keno K. Bressem, Lisa Adams, Christoph Erxleben +3
cs.LGcs.CVeess.IVarXiv:2002.08991v12020
FaceQnet: Quality Assessment for Face Recognition based on Deep Learning
Javier Hernandez-Ortega, Javier Galbally, Julian Fierrez +2
cs.CVcs.LGeess.IVarXiv:1904.01740v22019
Super-resolution Ultrasound Localization Microscopy through Deep Learning
Ruud J. G. van Sloun, Oren Solomon, Matthew Bruce +4
eess.SPcs.CVeess.IVarXiv:1804.07661v22018
Detection of Coronavirus (COVID-19) Associated Pneumonia based on Generative Adversarial Networks and a Fine-Tuned Deep Transfer Learning Model using Chest X-ray Dataset
Nour Eldeen M. Khalifa, Mohamed Hamed N. Taha, Aboul Ella Hassanien +1
eess.IVcs.CVcs.LGarXiv:2004.01184v12020
Vision Foundation Models for Computed Tomography
Suraj Pai, Ibrahim Hadzic, Dennis Bontempi +5
eess.IVcs.CVarXiv:2501.09001v22025
The University of California San Francisco Preoperative Diffuse Glioma MRI (UCSF-PDGM) Dataset
Evan Calabrese, Javier E. Villanueva-Meyer, Jeffrey D. Rudie +6
cs.CVeess.IVarXiv:2109.00356v22021
Medical Foundation Model Features as Perceptual Loss for Brain MRI Contrast Dose Simulation
Changsheng Fang, Dayang Wang, T. Campbell Arnold +2
eess.IVcs.CVarXiv:2608.28773v12026
PET image denoising based on denoising diffusion probabilistic models
Kuang Gong, Keith A. Johnson, Georges El Fakhri +2
eess.IVcs.CVphysics.med-pharXiv:2209.06167v22022
Learning the Shoreline: A Very High-Resolution Approach to Reef Island Dynamics
Tobias Fischer, B Stoll
eess.IVarXiv:2609.00957v12026
Semantic-Guided Multimodal Preprocessing for Vision Transformer-Based Clear Cell Renal Cell Carcinoma Grading
Fatemeh Javadian, Zhu Chen, Zahra Aminparast +1
cs.CVcs.AIcs.LGarXiv:2609.01426v12026
STEm-Seg: Spatio-temporal Embeddings for Instance Segmentation in Videos
Ali Athar, Sabarinath Mahadevan, Aljoša Ošep +2
cs.CVcs.LGeess.IVarXiv:2003.08429v42020
DuDoRNet: Learning a Dual-Domain Recurrent Network for Fast MRI Reconstruction with Deep T1 Prior
Bo Zhou, S. Kevin Zhou
eess.IVcs.CVarXiv:2001.03799v22020
CAMEL: A Weakly Supervised Learning Framework for Histopathology Image Segmentation
Gang Xu, Zhigang Song, Zhuo Sun +6
eess.IVcs.CVcs.LGarXiv:1908.10555v12019
BRISC: Annotated Dataset for Brain Tumor Segmentation and Classification
Amirreza Fateh, Yasin Rezvani, Sara Moayedi +4
eess.IVcs.CVarXiv:2506.14318v52025
Ola: Pushing the Frontiers of Omni-Modal Language Model
Zuyan Liu, Yuhao Dong, Jiahui Wang +4
cs.CVcs.CLcs.MMarXiv:2502.04328v32025
A CNN-based methodology for breast cancer diagnosis using thermal images
Juan Zuluaga-Gomez, Zeina Al Masry, Khaled Benaggoune +2
cs.CVeess.IVarXiv:1910.13757v12019
Skin Lesion Analyser: An Efficient Seven-Way Multi-Class Skin Cancer Classification Using MobileNet
Saket S. Chaturvedi, Kajol Gupta, Prakash. S. Prasad
eess.IVcs.CVarXiv:1907.03220v32019
Unveiling COVID-19 from Chest X-ray with deep learning: a hurdles race with small data
Enzo Tartaglione, Carlo Alberto Barbano, Claudio Berzovini +2
eess.IVcs.CVcs.LGarXiv:2004.05405v12020
Expert-like Bone Ultrasound Segmentation through Expert-in-the-loop Mask-conditioned Progressive Learning
Arash Tavangar, Larissa K. Chiu, Hamidreza Khodashenas +2
eess.IVcs.CVarXiv:2609.00473v12026
One-Shot Object Detection with Co-Attention and Co-Excitation
Ting-I Hsieh, Yi-Chen Lo, Hwann-Tzong Chen +1
cs.CVcs.LGeess.IVarXiv:1911.12529v12019
A Large Scale Event-based Detection Dataset for Automotive
Pierre de Tournemire, Davide Nitti, Etienne Perot +2
cs.CVcs.LGcs.ROarXiv:2001.08499v32020
A Survey on Deep Learning for Neuroimaging-based Brain Disorder Analysis
Li Zhang, Mingliang Wang, Mingxia Liu +1
eess.IVcs.CVcs.LGarXiv:2005.04573v12020
Hyperspectral Image Classification-Traditional to Deep Models: A Survey for Future Prospects
Muhammad Ahmad, Sidrah Shabbir, Swalpa Kumar Roy +7
eess.IVcs.CVarXiv:2101.06116v32021
Fruit Detection, Segmentation and 3D Visualisation of Environments in Apple Orchards
Hanwen Kang, Chao Chen
cs.CVeess.IVarXiv:1911.12889v12019
Towards Practical Real-Time Neural Video Compression
Zhaoyang Jia, Bin Li, Jiahao Li +4
eess.IVcs.CVarXiv:2502.20762v22025
Detecting GAN generated Fake Images using Co-occurrence Matrices
Lakshmanan Nataraj, Tajuddin Manhar Mohammed, Shivkumar Chandrasekaran +4
cs.CVeess.IVarXiv:1903.06836v22019
MaskedFace-Net -- A Dataset of Correctly/Incorrectly Masked Face Images in the Context of COVID-19
Adnane Cabani, Karim Hammoudi, Halim Benhabiles +1
cs.CVeess.IVarXiv:2008.08016v12020
From Synthesis to Removal: Physics-Grounded Reflection Simulation and Diffusion-Based Video Dereflection
Zepeng Wang, Jiagao Hu, Fuhao Li +3
cs.CVcs.AIeess.IVarXiv:2608.11562v12026
Automated diagnosis of COVID-19 with limited posteroanterior chest X-ray images using fine-tuned deep neural networks
Narinder Singh Punn, Sonali Agarwal
eess.IVcs.CVcs.LGarXiv:2004.11676v52020
End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection
Rui Qian, Divyansh Garg, Yan Wang +6
cs.CVeess.IVarXiv:2004.03080v22020
Deep Learning Meets SAR
Xiao Xiang Zhu, Sina Montazeri, Mohsin Ali +6
eess.IVcs.LGstat.MLarXiv:2006.10027v22020

Image and Video Processing

Automatic Grading of Individual Knee Osteoarthritis Features in Plain Radiographs using Deep Convolutional Neural Networks

Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning

Leveraging Cardiac Imaging to Improve ECG-Based Detection of Chagas Disease in Resource-Constrained Settings

NTIRE 2020 Challenge on Spectral Reconstruction from an RGB Image

Can we trust deep learning models diagnosis? The impact of domain shift in chest radiograph classification

A Machine Learning Benchmark for Facies Classification

Real-time Fusion Network for RGB-D Semantic Segmentation Incorporating Unexpected Obstacle Detection for Road-driving Images

Perceptual Image Quality Assessment with Transformers

Mitosis domain generalization in histopathology images -- The MIDOG challenge

EDCNN: Edge enhancement-based Densely Connected Network with Compound Loss for Low-Dose CT Denoising

OpenStreetMap: Challenges and Opportunities in Machine Learning and Remote Sensing

End-to-end Prostate Cancer Detection in bpMRI via 3D CNNs: Effects of Attention Mechanisms, Clinical Priori and Decoupled False Positive Reduction

Deep Learning Techniques for Hyperspectral Image Analysis in Agriculture: A Review

Severity Assessment of Coronavirus Disease 2019 (COVID-19) Using Quantitative Features from Chest CT Images

A Comprehensive Review for Breast Histopathology Image Analysis Using Classical and Deep Neural Networks

Attention Enriched Deep Learning Model for Breast Tumor Segmentation in Ultrasound Images

Transformer-based Image Compression

Real-World Multi-Modal and Longitudinal Lung Cancer Dataset

Cross-dataset transportability of pediatric chest X-ray deep learning across three countries: discrimination, calibration, operating-point failure, and limited-label recovery

Pneumonia Detection on chest X-ray images Using Ensemble of Deep Convolutional Neural Networks

Lightweight image super-resolution with enhanced CNN

Automatic Lung Cancer Prediction from Chest X-ray Images Using Deep Learning Approach

RoIMix: Proposal-Fusion among Multiple Images for Underwater Object Detection

Dual Residual Attention Network for Image Denoising

DeepInverse: A Python package for solving imaging inverse problems with deep learning

Building Damage Detection in Satellite Imagery Using Convolutional Neural Networks

Artificial Intelligence Assistance Significantly Improves Gleason Grading of Prostate Biopsies by Pathologists

Assessing Reliability and Challenges of Uncertainty Estimations for Medical Image Segmentation

Large-scale neuromorphic optoelectronic computing with a reconfigurable diffractive processing unit

Comparing Different Deep Learning Architectures for Classification of Chest Radiographs

FaceQnet: Quality Assessment for Face Recognition based on Deep Learning

Super-resolution Ultrasound Localization Microscopy through Deep Learning

Detection of Coronavirus (COVID-19) Associated Pneumonia based on Generative Adversarial Networks and a Fine-Tuned Deep Transfer Learning Model using Chest X-ray Dataset

Vision Foundation Models for Computed Tomography

The University of California San Francisco Preoperative Diffuse Glioma MRI (UCSF-PDGM) Dataset

Medical Foundation Model Features as Perceptual Loss for Brain MRI Contrast Dose Simulation

PET image denoising based on denoising diffusion probabilistic models

Learning the Shoreline: A Very High-Resolution Approach to Reef Island Dynamics

Semantic-Guided Multimodal Preprocessing for Vision Transformer-Based Clear Cell Renal Cell Carcinoma Grading

STEm-Seg: Spatio-temporal Embeddings for Instance Segmentation in Videos

DuDoRNet: Learning a Dual-Domain Recurrent Network for Fast MRI Reconstruction with Deep T1 Prior

CAMEL: A Weakly Supervised Learning Framework for Histopathology Image Segmentation

BRISC: Annotated Dataset for Brain Tumor Segmentation and Classification

Ola: Pushing the Frontiers of Omni-Modal Language Model

A CNN-based methodology for breast cancer diagnosis using thermal images

Skin Lesion Analyser: An Efficient Seven-Way Multi-Class Skin Cancer Classification Using MobileNet

Unveiling COVID-19 from Chest X-ray with deep learning: a hurdles race with small data

Expert-like Bone Ultrasound Segmentation through Expert-in-the-loop Mask-conditioned Progressive Learning

One-Shot Object Detection with Co-Attention and Co-Excitation

A Large Scale Event-based Detection Dataset for Automotive

A Survey on Deep Learning for Neuroimaging-based Brain Disorder Analysis

Hyperspectral Image Classification-Traditional to Deep Models: A Survey for Future Prospects

Fruit Detection, Segmentation and 3D Visualisation of Environments in Apple Orchards

Towards Practical Real-Time Neural Video Compression

Detecting GAN generated Fake Images using Co-occurrence Matrices

MaskedFace-Net -- A Dataset of Correctly/Incorrectly Masked Face Images in the Context of COVID-19

From Synthesis to Removal: Physics-Grounded Reflection Simulation and Diffusion-Based Video Dereflection

Automated diagnosis of COVID-19 with limited posteroanterior chest X-ray images using fine-tuned deep neural networks

End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection

Deep Learning Meets SAR