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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1,801 to 1,860 of 1,885

DeepSeg: Deep Neural Network Framework for Automatic Brain Tumor Segmentation using Magnetic Resonance FLAIR Images
Ramy A. Zeineldin, Mohamed E. Karar, Jan Coburger +2
eess.IVcs.CVarXiv:2004.12333v12020
Boundary-aware Context Neural Network for Medical Image Segmentation
Ruxin Wang, Shuyuan Chen, Chaojie Ji +2
eess.IVcs.CVarXiv:2005.00966v12020
OmniRAS: Standardizing Foundation Model Training and Evaluation in Robot-Assisted Surgery
Leonardo Borgioli, Neil Getty, Wenli Xiu +8
eess.IVarXiv:2608.31048v12026
VinDr-Mammo: A large-scale benchmark dataset for computer-aided diagnosis in full-field digital mammography
Hieu T. Nguyen, Ha Q. Nguyen, Hieu H. Pham +4
eess.IVcs.CVarXiv:2203.11205v22022
Fourier Spectrum Discrepancies in Deep Network Generated Images
Tarik Dzanic, Karan Shah, Freddie Witherden
eess.IVcs.LGstat.MLarXiv:1911.06465v32019
Diffusion Probabilistic Models beat GANs on Medical Images
Gustav Müller-Franzes, Jan Moritz Niehues, Firas Khader +8
eess.IVcs.CVarXiv:2212.07501v12022
Exploring large scale public medical image datasets
Luke Oakden-Rayner
eess.IVcs.CVcs.LGarXiv:1907.12720v12019
Polyp Segmentation in Colonoscopy Images Using Fully Convolutional Network
Mojtaba Akbari, Majid Mohrekesh, Ebrahim Nasr-Esfahani +4
eess.IVarXiv:1802.00368v12018
A Generalized Deep Learning Framework for Whole-Slide Image Segmentation and Analysis
Mahendra Khened, Avinash Kori, Haran Rajkumar +2
eess.IVcs.CVcs.LGarXiv:2001.00258v22020
From CNN to Transformer: A Review of Medical Image Segmentation Models
Wenjian Yao, Jiajun Bai, Wei Liao +3
eess.IVcs.CVcs.LGarXiv:2308.05305v12023
PulseGAN: Learning to generate realistic pulse waveforms in remote photoplethysmography
Rencheng Song, Huan Chen, Juan Cheng +3
eess.IVarXiv:2006.02699v12020
70 years of machine learning in geoscience in review
Jesper Sören Dramsch
physics.geo-phcs.CVcs.LGarXiv:2006.13311v32020
High-Throughput Precision Phenotyping of Left Ventricular Hypertrophy with Cardiovascular Deep Learning
Grant Duffy, Paul P Cheng, Neal Yuan +15
eess.IVcs.CVcs.LGarXiv:2106.12511v12021
Bi-Temporal Semantic Reasoning for the Semantic Change Detection in HR Remote Sensing Images
Lei Ding, Haitao Guo, Sicong Liu +3
cs.CVeess.IVarXiv:2108.06103v42021
Deep Learning Enables Automatic Detection and Segmentation of Brain Metastases on Multi-Sequence MRI
Endre Grøvik, Darvin Yi, Michael Iv +3
eess.IVcs.LGstat.MLarXiv:1903.07988v12019
Explainable Medical Imaging AI Needs Human-Centered Design: Guidelines and Evidence from a Systematic Review
Haomin Chen, Catalina Gomez, Chien-Ming Huang +1
cs.HCcs.CVcs.LGarXiv:2112.12596v42021
BRACS: A Dataset for BReAst Carcinoma Subtyping in H&E Histology Images
Nadia Brancati, Anna Maria Anniciello, Pushpak Pati +10
q-bio.QMcs.AIcs.CVarXiv:2111.04740v12021
Bringing Old Photos Back to Life
Ziyu Wan, Bo Zhang, Dongdong Chen +4
cs.CVcs.GReess.IVarXiv:2004.09484v12020
Monkeypox virus detection using pre-trained deep learning-based approaches
Chiranjibi Sitaula, Tej Bahadur Shahi
eess.IVcs.CVcs.LGarXiv:2209.04444v22022
ArtFlow: Unbiased Image Style Transfer via Reversible Neural Flows
Jie An, Siyu Huang, Yibing Song +3
cs.CVeess.IVarXiv:2103.16877v22021
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
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
InfoNeRF: Ray Entropy Minimization for Few-Shot Neural Volume Rendering
Mijeong Kim, Seonguk Seo, Bohyung Han
cs.CVcs.GReess.IVarXiv:2112.15399v22021
DeepISP: Towards Learning an End-to-End Image Processing Pipeline
Eli Schwartz, Raja Giryes, Alex M. Bronstein
eess.IVcs.CVarXiv:1801.06724v22018
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
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
Shallow-UWnet : Compressed Model for Underwater Image Enhancement
Ankita Naik, Apurva Swarnakar, Kartik Mittal
cs.CVeess.IVarXiv:2101.02073v12021
MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation
Abhishek Srivastava, Debesh Jha, Sukalpa Chanda +6
eess.IVcs.CVarXiv:2105.07451v22021
Stepwise Feature Fusion: Local Guides Global
Jinfeng Wang, Qiming Huang, Feilong Tang +3
eess.IVcs.CVarXiv:2203.03635v32022
Deep Learning on Image Denoising: An overview
Chunwei Tian, Lunke Fei, Wenxian Zheng +3
eess.IVcs.CVarXiv:1912.13171v42019
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
PUGAN: Physical Model-Guided Underwater Image Enhancement Using GAN with Dual-Discriminators
Runmin Cong, Wenyu Yang, Wei Zhang +4
eess.IVcs.CVarXiv:2306.08918v22023
Deep Learning for Whole Slide Image Analysis: An Overview
Neofytos Dimitriou, Ognjen Arandjelović, Peter D Caie
cs.CVcs.LGeess.IVarXiv:1910.11097v12019
Decoupling of brain function from structure reveals regional behavioral specialization in humans
Maria Giulia Preti, Dimitri Van De Ville
q-bio.NCeess.IVarXiv:1905.07813v22019
Cross-view Semantic Segmentation for Sensing Surroundings
Bowen Pan, Jiankai Sun, Ho Yin Tiga Leung +2
cs.CVeess.IVarXiv:1906.03560v32019
On the Challenges and Perspectives of Foundation Models for Medical Image Analysis
Shaoting Zhang, Dimitris Metaxas
eess.IVcs.CVarXiv:2306.05705v22023
U-Net Transformer: Self and Cross Attention for Medical Image Segmentation
Olivier Petit, Nicolas Thome, Clément Rambour +1
eess.IVcs.CVarXiv:2103.06104v22021
FVC: A New Framework towards Deep Video Compression in Feature Space
Zhihao Hu, Guo Lu, Dong Xu
eess.IVcs.CVarXiv:2105.09600v22021
Efficient and Accurate MRI Super-Resolution using a Generative Adversarial Network and 3D Multi-Level Densely Connected Network
Yuhua Chen, Feng Shi, Anthony G. Christodoulou +3
cs.CVeess.IVarXiv:1803.01417v32018
Segment Anything Model for Medical Image Segmentation: Current Applications and Future Directions
Yichi Zhang, Zhenrong Shen, Rushi Jiao
eess.IVcs.CVarXiv:2401.03495v12024
PAD-UFES-20: a skin lesion dataset composed of patient data and clinical images collected from smartphones
Andre G. C. Pacheco, Gustavo R. Lima, Amanda S. Salomão +16
eess.IVq-bio.QMarXiv:2007.00478v22020
CheXclusion: Fairness gaps in deep chest X-ray classifiers
Laleh Seyyed-Kalantari, Guanxiong Liu, Matthew McDermott +2
cs.CVcs.AIcs.LGarXiv:2003.00827v22020
PhaseStain: Digital staining of label-free quantitative phase microscopy images using deep learning
Yair Rivenson, Tairan Liu, Zhensong Wei +2
eess.IVcs.CVphysics.med-pharXiv:1807.07701v12018
Expression, Affect, Action Unit Recognition: Aff-Wild2, Multi-Task Learning and ArcFace
Dimitrios Kollias, Stefanos Zafeiriou
cs.CVcs.HCcs.LGarXiv:1910.04855v12019
Dynamic Fusion with Intra- and Inter- Modality Attention Flow for Visual Question Answering
Gao Peng, Zhengkai Jiang, Haoxuan You +4
cs.CVeess.IVarXiv:1812.05252v42018
Diagnosing COVID-19 Pneumonia from X-Ray and CT Images using Deep Learning and Transfer Learning Algorithms
Halgurd S. Maghdid, Aras T. Asaad, Kayhan Zrar Ghafoor +2
eess.IVcs.CVcs.LGarXiv:2004.00038v12020
When Radiology Report Generation Meets Knowledge Graph
Yixiao Zhang, Xiaosong Wang, Ziyue Xu +3
cs.CVcs.AIcs.LGarXiv:2002.08277v12020
Masked Siamese Networks for Label-Efficient Learning
Mahmoud Assran, Mathilde Caron, Ishan Misra +6
cs.LGcs.AIcs.CVarXiv:2204.07141v12022
Exploring Video Quality Assessment on User Generated Contents from Aesthetic and Technical Perspectives
Haoning Wu, Erli Zhang, Liang Liao +6
cs.CVcs.LGcs.MMarXiv:2211.04894v32022
No-Reference Image Quality Assessment via Transformers, Relative Ranking, and Self-Consistency
S. Alireza Golestaneh, Saba Dadsetan, Kris M. Kitani
eess.IVcs.CVarXiv:2108.06858v22021
SmaAt-UNet: Precipitation Nowcasting using a Small Attention-UNet Architecture
Kevin Trebing, Tomasz Stanczyk, Siamak Mehrkanoon
cs.LGeess.IVarXiv:2007.04417v22020
HiFiC-G: Adapting HiFiC for Hi-C Contact Matrices
Andre Antonio Straton
eess.IVcs.CVq-bio.GNarXiv:2608.21446v12026
COVID-ResNet: A Deep Learning Framework for Screening of COVID19 from Radiographs
Muhammad Farooq, Abdul Hafeez
eess.IVcs.CVcs.LGarXiv:2003.14395v12020
Virtual KITTI 2
Yohann Cabon, Naila Murray, Martin Humenberger
cs.CVcs.ROeess.IVarXiv:2001.10773v12020
VinDr-CXR: An open dataset of chest X-rays with radiologist's annotations
Ha Q. Nguyen, Khanh Lam, Linh T. Le +21
eess.IVarXiv:2012.15029v32020
UltraPIPS: Improving model perception in B-mode ultrasound with foundation models
Tal Grutman, Tali Ilovitsh
cs.CVeess.IVarXiv:2608.26033v12026
Improving Cross-Site Whole-Heart Segmentation
Tanish Mudaliar, Justin Li, Daniel Lin +4
eess.IVcs.CVarXiv:2608.25109v12026

Image and Video Processing

DeepSeg: Deep Neural Network Framework for Automatic Brain Tumor Segmentation using Magnetic Resonance FLAIR Images

Boundary-aware Context Neural Network for Medical Image Segmentation

OmniRAS: Standardizing Foundation Model Training and Evaluation in Robot-Assisted Surgery

VinDr-Mammo: A large-scale benchmark dataset for computer-aided diagnosis in full-field digital mammography

Fourier Spectrum Discrepancies in Deep Network Generated Images

Diffusion Probabilistic Models beat GANs on Medical Images

Exploring large scale public medical image datasets

Polyp Segmentation in Colonoscopy Images Using Fully Convolutional Network

A Generalized Deep Learning Framework for Whole-Slide Image Segmentation and Analysis

From CNN to Transformer: A Review of Medical Image Segmentation Models

PulseGAN: Learning to generate realistic pulse waveforms in remote photoplethysmography

70 years of machine learning in geoscience in review

High-Throughput Precision Phenotyping of Left Ventricular Hypertrophy with Cardiovascular Deep Learning

Bi-Temporal Semantic Reasoning for the Semantic Change Detection in HR Remote Sensing Images

Deep Learning Enables Automatic Detection and Segmentation of Brain Metastases on Multi-Sequence MRI

Explainable Medical Imaging AI Needs Human-Centered Design: Guidelines and Evidence from a Systematic Review

BRACS: A Dataset for BReAst Carcinoma Subtyping in H&E Histology Images

Bringing Old Photos Back to Life

Monkeypox virus detection using pre-trained deep learning-based approaches

ArtFlow: Unbiased Image Style Transfer via Reversible Neural Flows

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

PanNuke Dataset Extension, Insights and Baselines

TResNet: High Performance GPU-Dedicated Architecture

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

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

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

Destroy Me: Automatic Artifact Generation for Histopathology Images

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

Shallow-UWnet : Compressed Model for Underwater Image Enhancement

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

Stepwise Feature Fusion: Local Guides Global

Deep Learning on Image Denoising: An overview

Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation

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

Deep Learning for Whole Slide Image Analysis: An Overview

Decoupling of brain function from structure reveals regional behavioral specialization in humans

Cross-view Semantic Segmentation for Sensing Surroundings

On the Challenges and Perspectives of Foundation Models for Medical Image Analysis

U-Net Transformer: Self and Cross Attention for Medical Image Segmentation

FVC: A New Framework towards Deep Video Compression in Feature Space

Efficient and Accurate MRI Super-Resolution using a Generative Adversarial Network and 3D Multi-Level Densely Connected Network

Segment Anything Model for Medical Image Segmentation: Current Applications and Future Directions

PAD-UFES-20: a skin lesion dataset composed of patient data and clinical images collected from smartphones

CheXclusion: Fairness gaps in deep chest X-ray classifiers

PhaseStain: Digital staining of label-free quantitative phase microscopy images using deep learning

Expression, Affect, Action Unit Recognition: Aff-Wild2, Multi-Task Learning and ArcFace

Dynamic Fusion with Intra- and Inter- Modality Attention Flow for Visual Question Answering

Diagnosing COVID-19 Pneumonia from X-Ray and CT Images using Deep Learning and Transfer Learning Algorithms

When Radiology Report Generation Meets Knowledge Graph

Masked Siamese Networks for Label-Efficient Learning

Exploring Video Quality Assessment on User Generated Contents from Aesthetic and Technical Perspectives

No-Reference Image Quality Assessment via Transformers, Relative Ranking, and Self-Consistency

SmaAt-UNet: Precipitation Nowcasting using a Small Attention-UNet Architecture

HiFiC-G: Adapting HiFiC for Hi-C Contact Matrices

COVID-ResNet: A Deep Learning Framework for Screening of COVID19 from Radiographs

Virtual KITTI 2

VinDr-CXR: An open dataset of chest X-rays with radiologist's annotations

UltraPIPS: Improving model perception in B-mode ultrasound with foundation models

Improving Cross-Site Whole-Heart Segmentation