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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1,081 to 1,140 of 1,302

NeRF in the Dark: High Dynamic Range View Synthesis from Noisy Raw Images
Ben Mildenhall, Peter Hedman, Ricardo Martin-Brualla +2
cs.CVcs.GReess.IVarXiv:2111.13679v12021
Virtual KITTI 2
Yohann Cabon, Naila Murray, Martin Humenberger
cs.CVcs.ROeess.IVarXiv:2001.10773v12020
SEAN: Image Synthesis with Semantic Region-Adaptive Normalization
Peihao Zhu, Rameen Abdal, Yipeng Qin +1
cs.CVcs.GReess.IVarXiv:1911.12861v22019
Deepfakes Generation and Detection: State-of-the-art, open challenges, countermeasures, and way forward
Momina Masood, Marriam Nawaz, Khalid Mahmood Malik +2
cs.CRcs.LGcs.SDarXiv:2103.00484v22021
DeepJSCC-f: Deep Joint Source-Channel Coding of Images with Feedback
David Burth Kurka, Deniz Gündüz
cs.ITcs.LGeess.IVarXiv:1911.11174v22019
SynthStrip: Skull-Stripping for Any Brain Image
Andrew Hoopes, Jocelyn S. Mora, Adrian V. Dalca +2
eess.IVcs.CVphysics.med-pharXiv:2203.09974v22022
YOLACT++: Better Real-time Instance Segmentation
Daniel Bolya, Chong Zhou, Fanyi Xiao +1
cs.CVcs.LGeess.IVarXiv:1912.06218v22019
Multimodal Fusion Transformer for Remote Sensing Image Classification
Swalpa Kumar Roy, Ankur Deria, Danfeng Hong +3
cs.CVcs.LGeess.IVarXiv:2203.16952v22022
Deep Affect Prediction in-the-wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond
Dimitrios Kollias, Panagiotis Tzirakis, Mihalis A. Nicolaou +5
cs.CVcs.AIcs.HCarXiv:1804.10938v52018
3D-CVF: Generating Joint Camera and LiDAR Features Using Cross-View Spatial Feature Fusion for 3D Object Detection
Jin Hyeok Yoo, Yecheol Kim, Jisong Kim +1
cs.CVcs.LGeess.IVarXiv:2004.12636v22020
Cross-City Matters: A Multimodal Remote Sensing Benchmark Dataset for Cross-City Semantic Segmentation using High-Resolution Domain Adaptation Networks
Danfeng Hong, Bing Zhang, Hao Li +7
cs.CVeess.IVarXiv:2309.16499v22023
Unsupervised Medical Image Translation with Adversarial Diffusion Models
Muzaffer Özbey, Onat Dalmaz, Salman UH Dar +4
eess.IVcs.CVarXiv:2207.08208v32022
A Survey on Instance Segmentation: State of the art
Abdul Mueed Hafiz, Ghulam Mohiuddin Bhat
cs.CVcs.LGeess.IVarXiv:2007.00047v12020
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
Deep neural networks for the evaluation and design of photonic devices
Jiaqi Jiang, Mingkun Chen, Jonathan A. Fan
eess.IVcs.LGphysics.app-pharXiv:2007.00084v12020
Dynamic Snake Convolution based on Topological Geometric Constraints for Tubular Structure Segmentation
Yaolei Qi, Yuting He, Xiaoming Qi +2
cs.CVeess.IVarXiv:2307.08388v22023
Improving Cross-Site Whole-Heart Segmentation
Tanish Mudaliar, Justin Li, Daniel Lin +4
eess.IVcs.CVarXiv:2608.25109v12026
Lowering the Barrier to AI-Driven Inspection: A No-Code Workflow for Automated Structural Defect Detection
Michael Holm, Tanner McElroy, Xinghang Zhang +1
cs.CVcs.LGeess.IVarXiv:2608.25176v12026
Modality Contribution Score - A Per-Patient Framework for Quantifying the Relative Diagnostic Contribution of Structural MRI and Amyloid PET in Alzheimer's Disease
Dawa Chyophel Lepcha, Aaliya Ali, Sophie A. Martin +3
eess.IVcs.AIcs.CVarXiv:2608.24931v12026
Score-Based Ideal Observer Approximation via Denoising Score Matching for Signal-Known-Exactly Detection Tasks
Weimin Zhou
eess.IVcs.AIcs.CVarXiv:2608.24768v12026
Learning spatially varying regularisation parameters of low regularity for image reconstruction
Kostas Papafitsoros, Luca Calatroni, Andreas Kofler
eess.IVcs.CVmath.OCarXiv:2608.25127v12026
Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks
Ruihao Gong, Xianglong Liu, Shenghu Jiang +5
cs.CVcs.LGeess.IVarXiv:1908.05033v12019
Understanding Adversarial Attacks on Deep Learning Based Medical Image Analysis Systems
Xingjun Ma, Yuhao Niu, Lin Gu +4
cs.CVcs.LGeess.IVarXiv:1907.10456v22019
Watch your Up-Convolution: CNN Based Generative Deep Neural Networks are Failing to Reproduce Spectral Distributions
Ricard Durall, Margret Keuper, Janis Keuper
cs.CVeess.IVarXiv:2003.01826v12020
Road Crack Detection Using Deep Convolutional Neural Network and Adaptive Thresholding
Rui Fan, Mohammud Junaid Bocus, Yilong Zhu +5
cs.CVcs.LGeess.IVarXiv:1904.08582v12019
Whole Slide Images based Cancer Survival Prediction using Attention Guided Deep Multiple Instance Learning Networks
Jiawen Yao, Xinliang Zhu, Jitendra Jonnagaddala +2
eess.IVcs.CVarXiv:2009.11169v12020
Reducing the Hausdorff Distance in Medical Image Segmentation with Convolutional Neural Networks
Davood Karimi, Septimiu E. Salcudean
eess.IVcs.LGstat.MLarXiv:1904.10030v12019
U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation
Chenxin Li, Xinyu Liu, Wuyang Li +5
eess.IVcs.CVarXiv:2406.02918v32024
A Patient-Centric Dataset of Images and Metadata for Identifying Melanomas Using Clinical Context
Veronica Rotemberg, Nicholas Kurtansky, Brigid Betz-Stablein +21
eess.IVcs.CVcs.CYarXiv:2008.07360v12020
ResViT: Residual vision transformers for multi-modal medical image synthesis
Onat Dalmaz, Mahmut Yurt, Tolga Çukur
eess.IVcs.CVarXiv:2106.16031v32021
Reliability- and Anatomy-Consistency-Aware Multimodal Learning for Robust Fracture Classification from Bangladeshi Radiographs
Musa Tur Farazi, K G Subarno Bithi
eess.IVcs.AIcs.CVarXiv:2608.21482v12026
Multimodal pseudo-CT synthesis for PET attenuation correction using separate modality encoding and topogram conditioning
Rory Bell, Artemis Bouzaki, Jiaming Cao +2
eess.IVcs.CVphysics.med-pharXiv:2608.21481v12026
TorchIO: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning
Fernando Pérez-García, Rachel Sparks, Sébastien Ourselin
eess.IVcs.AIcs.CVarXiv:2003.04696v52020
Channel-wise Autoregressive Entropy Models for Learned Image Compression
David Minnen, Saurabh Singh
eess.IVcs.CVcs.ITarXiv:2007.08739v12020
Transfer Learning with Deep Convolutional Neural Network (CNN) for Pneumonia Detection using Chest X-ray
Tawsifur Rahman, Muhammad E. H. Chowdhury, Amith Khandakar +5
eess.IVcs.CVcs.LGarXiv:2004.06578v12020
Automated Gleason Grading of Prostate Biopsies using Deep Learning
Wouter Bulten, Hans Pinckaers, Hester van Boven +6
eess.IVcs.CVarXiv:1907.07980v12019
3D Deep Learning on Medical Images: A Review
Satya P. Singh, Lipo Wang, Sukrit Gupta +3
q-bio.QMcs.CVcs.LGarXiv:2004.00218v42020
LiteEvent-AE: Lightweight Autoencoder for Event-Based Vision on Low-Latency Energy-Constrained Edge Devices
Riadul Islam, Joey Mule, Dhandeep Challagundla +3
cs.CVcs.AIeess.IVarXiv:2608.21764v12026
MDFI: A Multi-Domain Features Integration for Compressed Video Quality Enhancement
Sang NguyenQuang, Hieu Bui Minh, Dang BuiDinh +1
eess.IVcs.CVarXiv:2608.21495v12026
CompressAI: a PyTorch library and evaluation platform for end-to-end compression research
Jean Bégaint, Fabien Racapé, Simon Feltman +1
cs.CVeess.IVarXiv:2011.03029v12020
Pretreatment DCE-MRI Resolves Response Quality Within Pathologic Endpoints in Neoadjuvant Breast Cancer
Dattatreya Kantha, Murray H. Loew
eess.IVcs.CVcs.LGarXiv:2608.22097v12026
Brain-inspired computing: We need a master plan
Adnan Mehonic, Anthony J Kenyon
cs.ETcs.AIeess.IVarXiv:2104.14517v12021
Recent Advances in Domain Adaptation for the Classification of Remote Sensing Data
Devis Tuia, Claudio Persello, Lorenzo Bruzzone
cs.CVeess.IVarXiv:2104.07778v12021
Multi-Attention-Network for Semantic Segmentation of Fine Resolution Remote Sensing Images
Rui Li, Shunyi Zheng, Chenxi Duan +3
eess.IVcs.CVarXiv:2009.02130v42020
Residual Feature Distillation Network for Lightweight Image Super-Resolution
Jie Liu, Jie Tang, Gangshan Wu
eess.IVcs.CVarXiv:2009.11551v12020
AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation
Yuanfeng Ji, Haotian Bai, Jie Yang +8
eess.IVcs.CVcs.LGarXiv:2206.08023v32022
clDice -- A Novel Topology-Preserving Loss Function for Tubular Structure Segmentation
Suprosanna Shit, Johannes C. Paetzold, Anjany Sekuboyina +6
cs.CVcs.LGeess.IVarXiv:2003.07311v72020
Deep Learning for Classification of Hyperspectral Data: A Comparative Review
Nicolas Audebert, Bertrand Saux, Sébastien Lefèvre
cs.LGcs.CVcs.NEarXiv:1904.10674v12019
Score-based diffusion models for accelerated MRI
Hyungjin Chung, Jong Chul Ye
eess.IVcs.AIcs.CVarXiv:2110.05243v32021
ELIC: Efficient Learned Image Compression with Unevenly Grouped Space-Channel Contextual Adaptive Coding
Dailan He, Ziming Yang, Weikun Peng +3
cs.CVeess.IVarXiv:2203.10886v22022
Deep Global Registration
Christopher Choy, Wei Dong, Vladlen Koltun
cs.CVcs.CGcs.LGarXiv:2004.11540v22020
Low-Light Image Enhancement with Normalizing Flow
Yufei Wang, Renjie Wan, Wenhan Yang +3
eess.IVcs.CVarXiv:2109.05923v12021
Multi-Stage Prompt-Guided Feature Modulation for Generalizable Brain Tumor Segmentation
Mohammad Mahdi Danesh Pajouh, Sara Saeedi
eess.IVcs.CVarXiv:2608.23745v12026
A review: Deep learning for medical image segmentation using multi-modality fusion
Tongxue Zhou, Su Ruan, Stéphane Canu
eess.IVcs.CVcs.LGarXiv:2004.10664v22020
Deep Learning in Medical Image Registration: A Review
Yabo Fu, Yang Lei, Tonghe Wang +3
eess.IVcs.CVcs.LGarXiv:1912.12318v12019
A Survey on Active Learning and Human-in-the-Loop Deep Learning for Medical Image Analysis
Samuel Budd, Emma C Robinson, Bernhard Kainz
cs.LGcs.CVcs.HCarXiv:1910.02923v22019
Towards a Guideline for Evaluation Metrics in Medical Image Segmentation
Dominik Müller, Iñaki Soto-Rey, Frank Kramer
eess.IVcs.CVcs.LGarXiv:2202.05273v12022
COVID-CAPS: A Capsule Network-based Framework for Identification of COVID-19 cases from X-ray Images
Parnian Afshar, Shahin Heidarian, Farnoosh Naderkhani +3
cs.CVcs.LGeess.IVarXiv:2004.02696v22020
TractSeg - Fast and accurate white matter tract segmentation
Jakob Wasserthal, Peter Neher, Klaus H. Maier-Hein
cs.CVeess.IVarXiv:1805.07103v22018

Image and Video Processing

NeRF in the Dark: High Dynamic Range View Synthesis from Noisy Raw Images

Virtual KITTI 2

SEAN: Image Synthesis with Semantic Region-Adaptive Normalization

Deepfakes Generation and Detection: State-of-the-art, open challenges, countermeasures, and way forward

DeepJSCC-f: Deep Joint Source-Channel Coding of Images with Feedback

SynthStrip: Skull-Stripping for Any Brain Image

YOLACT++: Better Real-time Instance Segmentation

Multimodal Fusion Transformer for Remote Sensing Image Classification

Deep Affect Prediction in-the-wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond

3D-CVF: Generating Joint Camera and LiDAR Features Using Cross-View Spatial Feature Fusion for 3D Object Detection

Cross-City Matters: A Multimodal Remote Sensing Benchmark Dataset for Cross-City Semantic Segmentation using High-Resolution Domain Adaptation Networks

Unsupervised Medical Image Translation with Adversarial Diffusion Models

A Survey on Instance Segmentation: State of the art

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

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

Deep neural networks for the evaluation and design of photonic devices

Dynamic Snake Convolution based on Topological Geometric Constraints for Tubular Structure Segmentation

Improving Cross-Site Whole-Heart Segmentation

Lowering the Barrier to AI-Driven Inspection: A No-Code Workflow for Automated Structural Defect Detection

Modality Contribution Score - A Per-Patient Framework for Quantifying the Relative Diagnostic Contribution of Structural MRI and Amyloid PET in Alzheimer's Disease

Score-Based Ideal Observer Approximation via Denoising Score Matching for Signal-Known-Exactly Detection Tasks

Learning spatially varying regularisation parameters of low regularity for image reconstruction

Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks

Understanding Adversarial Attacks on Deep Learning Based Medical Image Analysis Systems

Watch your Up-Convolution: CNN Based Generative Deep Neural Networks are Failing to Reproduce Spectral Distributions

Road Crack Detection Using Deep Convolutional Neural Network and Adaptive Thresholding

Whole Slide Images based Cancer Survival Prediction using Attention Guided Deep Multiple Instance Learning Networks

Reducing the Hausdorff Distance in Medical Image Segmentation with Convolutional Neural Networks

U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation

A Patient-Centric Dataset of Images and Metadata for Identifying Melanomas Using Clinical Context

ResViT: Residual vision transformers for multi-modal medical image synthesis

Reliability- and Anatomy-Consistency-Aware Multimodal Learning for Robust Fracture Classification from Bangladeshi Radiographs

Multimodal pseudo-CT synthesis for PET attenuation correction using separate modality encoding and topogram conditioning

TorchIO: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning

Channel-wise Autoregressive Entropy Models for Learned Image Compression

Transfer Learning with Deep Convolutional Neural Network (CNN) for Pneumonia Detection using Chest X-ray

Automated Gleason Grading of Prostate Biopsies using Deep Learning

3D Deep Learning on Medical Images: A Review

LiteEvent-AE: Lightweight Autoencoder for Event-Based Vision on Low-Latency Energy-Constrained Edge Devices

MDFI: A Multi-Domain Features Integration for Compressed Video Quality Enhancement

CompressAI: a PyTorch library and evaluation platform for end-to-end compression research

Pretreatment DCE-MRI Resolves Response Quality Within Pathologic Endpoints in Neoadjuvant Breast Cancer

Brain-inspired computing: We need a master plan

Recent Advances in Domain Adaptation for the Classification of Remote Sensing Data

Multi-Attention-Network for Semantic Segmentation of Fine Resolution Remote Sensing Images

Residual Feature Distillation Network for Lightweight Image Super-Resolution

AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation

clDice -- A Novel Topology-Preserving Loss Function for Tubular Structure Segmentation

Deep Learning for Classification of Hyperspectral Data: A Comparative Review

Score-based diffusion models for accelerated MRI

ELIC: Efficient Learned Image Compression with Unevenly Grouped Space-Channel Contextual Adaptive Coding

Deep Global Registration

Low-Light Image Enhancement with Normalizing Flow

Multi-Stage Prompt-Guided Feature Modulation for Generalizable Brain Tumor Segmentation

A review: Deep learning for medical image segmentation using multi-modality fusion

Deep Learning in Medical Image Registration: A Review

A Survey on Active Learning and Human-in-the-Loop Deep Learning for Medical Image Analysis

Towards a Guideline for Evaluation Metrics in Medical Image Segmentation

COVID-CAPS: A Capsule Network-based Framework for Identification of COVID-19 cases from X-ray Images

TractSeg - Fast and accurate white matter tract segmentation