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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1,141 to 1,200 of 1,302

The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge
Nicholas Heller, Fabian Isensee, Klaus H. Maier-Hein +38
eess.IVcs.CVcs.LGarXiv:1912.01054v22019
ScanRefer: 3D Object Localization in RGB-D Scans using Natural Language
Dave Zhenyu Chen, Angel X. Chang, Matthias Nießner
cs.CVcs.CLcs.LGarXiv:1912.08830v32019
Learning Enriched Features for Fast Image Restoration and Enhancement
Syed Waqas Zamir, Aditya Arora, Salman Khan +4
eess.IVcs.CVarXiv:2205.01649v12022
Spatiotemporal Distillation via Recurrent Bottlenecks for Aortic Tracking
Dexter Wen Jie Teo, Nairouz Shehata, Herve Lombaert
eess.IVcs.CVcs.LGarXiv:2608.23879v12026
Deep Learning for Deepfakes Creation and Detection: A Survey
Thanh Thi Nguyen, Quoc Viet Hung Nguyen, Dung Tien Nguyen +6
cs.CVcs.LGeess.IVarXiv:1909.11573v52019
Native-Space 3D CarveMix for Multi-Site T1w Stroke Segmentation
Dexter Wen Jie Teo, Kumaradevan Punithakumar
eess.IVcs.CVarXiv:2608.23882v12026
U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation
Junho Kim, Minjae Kim, Hyeonwoo Kang +1
cs.CVeess.IVarXiv:1907.10830v42019
Explainable deep learning models in medical image analysis
Amitojdeep Singh, Sourya Sengupta, Vasudevan Lakshminarayanan
cs.CVcs.LGeess.IVarXiv:2005.13799v12020
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
Sachit Menon, Alexandru Damian, Shijia Hu +2
cs.CVcs.LGeess.IVarXiv:2003.03808v32020
Model Effect or Label Effect? Refined Annotations and a Human-Referenced Benchmark for Pulmonary Embolism Segmentation
Qihang Sun, Zhongxiao Liu, Bailiang Jian +6
eess.IVcs.CVarXiv:2608.24486v12026
High-Fidelity Generative Image Compression
Fabian Mentzer, George Toderici, Michael Tschannen +1
eess.IVcs.CVcs.LGarXiv:2006.09965v32020
Detecting and Simulating Artifacts in GAN Fake Images
Xu Zhang, Svebor Karaman, Shih-Fu Chang
cs.CVeess.IVarXiv:1907.06515v22019
CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation
Ran Gu, Guotai Wang, Tao Song +6
eess.IVcs.CVarXiv:2009.10549v22020
Deep Unfolding Network for Image Super-Resolution
Kai Zhang, Luc Van Gool, Radu Timofte
eess.IVcs.CVarXiv:2003.10428v12020
SynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retraining
Benjamin Billot, Douglas N. Greve, Oula Puonti +5
eess.IVcs.CVarXiv:2107.09559v42021
Drone-based RGB-Infrared Cross-Modality Vehicle Detection via Uncertainty-Aware Learning
Yiming Sun, Bing Cao, Pengfei Zhu +1
cs.CVcs.LGeess.IVarXiv:2003.02437v22020
BCN20000: Dermoscopic Lesions in the Wild
Marc Combalia, Noel C. F. Codella, Veronica Rotemberg +8
eess.IVcs.CVarXiv:1908.02288v22019
Deep Learning Techniques for Inverse Problems in Imaging
Gregory Ongie, Ajil Jalal, Christopher A. Metzler +3
eess.IVcs.LGstat.MLarXiv:2005.06001v12020
Deep Learning in Medical Image Registration: A Survey
Grant Haskins, Uwe Kruger, Pingkun Yan
q-bio.QMcs.CVeess.IVarXiv:1903.02026v22019
HINet: Half Instance Normalization Network for Image Restoration
Liangyu Chen, Xin Lu, Jie Zhang +2
eess.IVcs.CVarXiv:2105.06086v22021
Make it SING: Analyzing Semantic Invariants in Classifiers
Harel Yadid, Meir Yossef Levi, Roy Betser +1
cs.CVeess.IVarXiv:2603.14610v22026
HistoAtlas: A Pan-Cancer Morphology Atlas Linking Histomics to Molecular Programs and Clinical Outcomes
Pierre-Antoine Bannier
q-bio.QMcs.CVeess.IVarXiv:2603.16587v12026
Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data
Yen-Chang Hsu, Yilin Shen, Hongxia Jin +1
cs.CVcs.LGeess.IVarXiv:2002.11297v22020
Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation
Michael Yeung, Evis Sala, Carola-Bibiane Schönlieb +1
eess.IVcs.CVcs.LGarXiv:2102.04525v42021
Deep learning with noisy labels: exploring techniques and remedies in medical image analysis
Davood Karimi, Haoran Dou, Simon K. Warfield +1
cs.CVcs.LGeess.IVarXiv:1912.02911v42019
CHIMERA Challenge: Biochemical Recurrence Prediction in Prostate Cancer Patients using multimodal datasets
Robert N. Spaans, Catherine Chia, Tongjie Wang +7
eess.IVcs.CVarXiv:2608.21497v12026
Pattern-Derived Visual Swarm Games: Multi-Scale Drone-Vision States for Interception and Sustainability Audits
Faruk Alpay, Levent Sarioglu
cs.ROcs.GTeess.IVarXiv:2608.23575v12026
Contrastive learning of global and local features for medical image segmentation with limited annotations
Krishna Chaitanya, Ertunc Erdil, Neerav Karani +1
cs.CVcs.LGeess.IVarXiv:2006.10511v22020
InterFaceGAN: Interpreting the Disentangled Face Representation Learned by GANs
Yujun Shen, Ceyuan Yang, Xiaoou Tang +1
cs.CVcs.LGeess.IVarXiv:2005.09635v22020
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers
Jiaming Zhang, Huayao Liu, Kailun Yang +3
cs.CVcs.ROeess.IVarXiv:2203.04838v52022
PlantDoc: A Dataset for Visual Plant Disease Detection
Davinder Singh, Naman Jain, Pranjali Jain +3
cs.CVeess.IVarXiv:1911.10317v12019
Precision-Aware Variable Bit Processing Elements for Hardware-Efficient Systolic Array Designs
Dantu Nandini Devi, Madhav Rao
cs.ARcs.ETcs.LGarXiv:2608.22378v12026
Deep neural network models for computational histopathology: A survey
Chetan L. Srinidhi, Ozan Ciga, Anne L. Martel
eess.IVcs.CVcs.LGarXiv:1912.12378v22019
Convolutional Neural Networks for Classification of Alzheimer's Disease: Overview and Reproducible Evaluation
Junhao Wen, Elina Thibeau-Sutre, Mauricio Diaz-Melo +7
cs.LGeess.IVstat.MLarXiv:1904.07773v62019
MAXIM: Multi-Axis MLP for Image Processing
Zhengzhong Tu, Hossein Talebi, Han Zhang +4
eess.IVcs.CVarXiv:2201.02973v22022
SGDC: Structurally-Guided Dynamic Convolution for Medical Image Segmentation
Bo Shi, Wei-ping Zhu, M. N. S. Swamy
eess.IVcs.CVarXiv:2602.23496v12026
PREDATOR: Registration of 3D Point Clouds with Low Overlap
Shengyu Huang, Zan Gojcic, Mikhail Usvyatsov +2
cs.CVeess.IVarXiv:2011.13005v32020
Colon-Bench: An Agentic Workflow for Scalable Dense Lesion Annotation in Full-Procedure Colonoscopy Videos
Abdullah Hamdi, Changchun Yang, Xin Gao
eess.IVcs.CVcs.HCarXiv:2603.25645v32026
GET: Generative Embedding Translation for Medical Image Segmentation
Md Maklachur Rahman, Md Hasan Al Banna, Saraf Anjum +2
eess.IVcs.CVcs.LGarXiv:2608.22619v12026
Deep Learning COVID-19 Features on CXR using Limited Training Data Sets
Yujin Oh, Sangjoon Park, Jong Chul Ye
eess.IVcs.CVcs.LGarXiv:2004.05758v22020
Visual Transformers: Token-based Image Representation and Processing for Computer Vision
Bichen Wu, Chenfeng Xu, Xiaoliang Dai +7
cs.CVcs.LGeess.IVarXiv:2006.03677v42020
Big Self-Supervised Models Advance Medical Image Classification
Shekoofeh Azizi, Basil Mustafa, Fiona Ryan +9
eess.IVcs.CVcs.LGarXiv:2101.05224v22021
VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text
Hassan Akbari, Liangzhe Yuan, Rui Qian +4
cs.CVcs.AIcs.LGarXiv:2104.11178v32021
Boundary loss for highly unbalanced segmentation
Hoel Kervadec, Jihene Bouchtiba, Christian Desrosiers +3
eess.IVcs.CVarXiv:1812.07032v42018
Solving Inverse Problems in Medical Imaging with Score-Based Generative Models
Yang Song, Liyue Shen, Lei Xing +1
eess.IVcs.CVcs.LGarXiv:2111.08005v22021
The Universal Normal Embedding
Chen Tasker, Roy Betser, Eyal Gofer +2
cs.CVeess.IVarXiv:2603.21786v12026
U-shape Transformer for Underwater Image Enhancement
Lintao Peng, Chunli Zhu, Liheng Bian
cs.CVeess.IVarXiv:2111.11843v62021
MANIQA: Multi-dimension Attention Network for No-Reference Image Quality Assessment
Sidi Yang, Tianhe Wu, Shuwei Shi +5
cs.CVeess.IVarXiv:2204.08958v22022
Diffusion Models for Medical Image Analysis: A Comprehensive Survey
Amirhossein Kazerouni, Ehsan Khodapanah Aghdam, Moein Heidari +4
eess.IVcs.CVarXiv:2211.07804v32022
OpenVision 3: A Family of Unified Visual Encoder for Both Understanding and Generation
Letian Zhang, Sucheng Ren, Yanqing Liu +9
eess.IVcs.AIarXiv:2601.15369v22026
Capsule-Forensics: Using Capsule Networks to Detect Forged Images and Videos
Huy H. Nguyen, Junichi Yamagishi, Isao Echizen
cs.CVeess.IVarXiv:1810.11215v12018
Deep Semantic Segmentation of Natural and Medical Images: A Review
Saeid Asgari Taghanaki, Kumar Abhishek, Joseph Paul Cohen +2
cs.CVcs.LGeess.IVarXiv:1910.07655v42019
DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation
Debesh Jha, Michael A. Riegler, Dag Johansen +2
eess.IVcs.CVarXiv:2006.04868v22020
HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation
Bowen Cheng, Bin Xiao, Jingdong Wang +3
cs.CVcs.LGeess.IVarXiv:1908.10357v32019
Single Image Super-Resolution via a Holistic Attention Network
Ben Niu, Weilei Wen, Wenqi Ren +6
eess.IVcs.CVarXiv:2008.08767v12020
Multi-Scale Progressive Fusion Network for Single Image Deraining
Kui Jiang, Zhongyuan Wang, Peng Yi +5
cs.CVcs.LGeess.IVarXiv:2003.10985v22020
Spanning the Visual Analogy Space with a Weight Basis of LoRAs
Hila Manor, Rinon Gal, Haggai Maron +2
cs.CVcs.AIcs.GRarXiv:2602.15727v22026
PadChest: A large chest x-ray image dataset with multi-label annotated reports
Aurelia Bustos, Antonio Pertusa, Jose-Maria Salinas +1
eess.IVcs.CVarXiv:1901.07441v22019
Video Generation Models as World Models: Efficient Paradigms, Architectures and Algorithms
Muyang He, Hanzhong Guo, Junxiong Lin +1
eess.IVcs.CVarXiv:2603.28489v32026
COVID-19 Image Data Collection: Prospective Predictions Are the Future
Joseph Paul Cohen, Paul Morrison, Lan Dao +3
q-bio.QMcs.CVcs.LGarXiv:2006.11988v32020

Image and Video Processing

The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge

ScanRefer: 3D Object Localization in RGB-D Scans using Natural Language

Learning Enriched Features for Fast Image Restoration and Enhancement

Spatiotemporal Distillation via Recurrent Bottlenecks for Aortic Tracking

Deep Learning for Deepfakes Creation and Detection: A Survey

Native-Space 3D CarveMix for Multi-Site T1w Stroke Segmentation

U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation

Explainable deep learning models in medical image analysis

PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models

Model Effect or Label Effect? Refined Annotations and a Human-Referenced Benchmark for Pulmonary Embolism Segmentation

High-Fidelity Generative Image Compression

Detecting and Simulating Artifacts in GAN Fake Images

CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation

Deep Unfolding Network for Image Super-Resolution

SynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retraining

Drone-based RGB-Infrared Cross-Modality Vehicle Detection via Uncertainty-Aware Learning

BCN20000: Dermoscopic Lesions in the Wild

Deep Learning Techniques for Inverse Problems in Imaging

Deep Learning in Medical Image Registration: A Survey

HINet: Half Instance Normalization Network for Image Restoration

Make it SING: Analyzing Semantic Invariants in Classifiers

HistoAtlas: A Pan-Cancer Morphology Atlas Linking Histomics to Molecular Programs and Clinical Outcomes

Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data

Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation

Deep learning with noisy labels: exploring techniques and remedies in medical image analysis

CHIMERA Challenge: Biochemical Recurrence Prediction in Prostate Cancer Patients using multimodal datasets

Pattern-Derived Visual Swarm Games: Multi-Scale Drone-Vision States for Interception and Sustainability Audits

Contrastive learning of global and local features for medical image segmentation with limited annotations

InterFaceGAN: Interpreting the Disentangled Face Representation Learned by GANs

CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers

PlantDoc: A Dataset for Visual Plant Disease Detection

Precision-Aware Variable Bit Processing Elements for Hardware-Efficient Systolic Array Designs

Deep neural network models for computational histopathology: A survey

Convolutional Neural Networks for Classification of Alzheimer's Disease: Overview and Reproducible Evaluation

MAXIM: Multi-Axis MLP for Image Processing

SGDC: Structurally-Guided Dynamic Convolution for Medical Image Segmentation

PREDATOR: Registration of 3D Point Clouds with Low Overlap

Colon-Bench: An Agentic Workflow for Scalable Dense Lesion Annotation in Full-Procedure Colonoscopy Videos

GET: Generative Embedding Translation for Medical Image Segmentation

Deep Learning COVID-19 Features on CXR using Limited Training Data Sets

Visual Transformers: Token-based Image Representation and Processing for Computer Vision

Big Self-Supervised Models Advance Medical Image Classification

VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text

Boundary loss for highly unbalanced segmentation

Solving Inverse Problems in Medical Imaging with Score-Based Generative Models

The Universal Normal Embedding

U-shape Transformer for Underwater Image Enhancement

MANIQA: Multi-dimension Attention Network for No-Reference Image Quality Assessment

Diffusion Models for Medical Image Analysis: A Comprehensive Survey

OpenVision 3: A Family of Unified Visual Encoder for Both Understanding and Generation

Capsule-Forensics: Using Capsule Networks to Detect Forged Images and Videos

Deep Semantic Segmentation of Natural and Medical Images: A Review

DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation

HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation

Single Image Super-Resolution via a Holistic Attention Network

Multi-Scale Progressive Fusion Network for Single Image Deraining

Spanning the Visual Analogy Space with a Weight Basis of LoRAs

PadChest: A large chest x-ray image dataset with multi-label annotated reports

Video Generation Models as World Models: Efficient Paradigms, Architectures and Algorithms

COVID-19 Image Data Collection: Prospective Predictions Are the Future