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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1,261 to 1,301 of 1,301

Covid-19: Automatic detection from X-Ray images utilizing Transfer Learning with Convolutional Neural Networks
Ioannis D. Apostolopoulos, Tzani Bessiana
eess.IVcs.CVcs.LGarXiv:2003.11617v12020
Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data
Xintao Wang, Liangbin Xie, Chao Dong +1
eess.IVcs.CVarXiv:2107.10833v22021
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds
Qingyong Hu, Bo Yang, Linhai Xie +5
cs.CVcs.LGeess.IVarXiv:1911.11236v32019
SEAOTTER: Sensor Embedded Autoencoding with One-Time Transcode for Efficient Reconstruction
Dan Jacobellis, Neeraja J. Yadwadkar
eess.IVcs.CVcs.LGarXiv:2606.03940v12026
PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection
Shaoshuai Shi, Chaoxu Guo, Li Jiang +4
cs.CVcs.LGeess.IVarXiv:1912.13192v22019
Deep Learning for 3D Point Clouds: A Survey
Yulan Guo, Hanyun Wang, Qingyong Hu +3
cs.CVcs.LGcs.ROarXiv:1912.12033v22019
Variational image compression with a scale hyperprior
Johannes Ballé, David Minnen, Saurabh Singh +2
eess.IVcs.ITarXiv:1802.01436v22018
EnlightenGAN: Deep Light Enhancement without Paired Supervision
Yifan Jiang, Xinyu Gong, Ding Liu +6
cs.CVeess.IVarXiv:1906.06972v22019
Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images
Ali Hatamizadeh, Vishwesh Nath, Yucheng Tang +3
eess.IVcs.CVcs.LGarXiv:2201.01266v12022
Image Super-Resolution via Iterative Refinement
Chitwan Saharia, Jonathan Ho, William Chan +3
eess.IVcs.CVcs.LGarXiv:2104.07636v22021
UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation
Huimin Huang, Lanfen Lin, Ruofeng Tong +6
eess.IVcs.CVcs.LGarXiv:2004.08790v12020
COVID-Net: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-Ray Images
Linda Wang, Alexander Wong
eess.IVcs.CVcs.LGarXiv:2003.09871v42020
UNETR: Transformers for 3D Medical Image Segmentation
Ali Hatamizadeh, Yucheng Tang, Vishwesh Nath +5
eess.IVcs.CVcs.LGarXiv:2103.10504v32021
Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation
Hu Cao, Yueyue Wang, Joy Chen +4
eess.IVcs.CVarXiv:2105.05537v12021
MMDetection: Open MMLab Detection Toolbox and Benchmark
Kai Chen, Jiaqi Wang, Jiangmiao Pang +22
cs.CVcs.LGeess.IVarXiv:1906.07155v12019
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison
Jeremy Irvin, Pranav Rajpurkar, Michael Ko +17
cs.CVcs.AIcs.LGarXiv:1901.07031v12019
Implicit Neural Representations with Periodic Activation Functions
Vincent Sitzmann, Julien N. P. Martel, Alexander W. Bergman +2
cs.CVcs.LGeess.IVarXiv:2006.09661v12020
SwinIR: Image Restoration Using Swin Transformer
Jingyun Liang, Jiezhang Cao, Guolei Sun +3
eess.IVcs.CVarXiv:2108.10257v12021
Analyzing and Improving the Image Quality of StyleGAN
Tero Karras, Samuli Laine, Miika Aittala +3
cs.CVcs.LGcs.NEarXiv:1912.04958v22019
EfficientDet: Scalable and Efficient Object Detection
Mingxing Tan, Ruoming Pang, Quoc V. Le
cs.CVcs.LGeess.IVarXiv:1911.09070v72019
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh +1
cs.CVcs.LGeess.IVarXiv:1807.10165v12018
MagViT: Interpretable Multi-Magnification Transformers with Patient-Level Model Selection for Breast Histopathology
Nabil Ashab, Soumit Kumar Kundu, Saif Mahmud Parvez +3
eess.IVcs.CVcs.LGarXiv:2608.16959v12026
YOLOv4: Optimal Speed and Accuracy of Object Detection
Alexey Bochkovskiy, Chien-Yao Wang, Hong-Yuan Mark Liao
cs.CVeess.IVarXiv:2004.10934v12020
ENAF: A Multi-Exit Network with an Adaptive Patch Fusion for Large Image Super Resolution
Duong M. Nguyen, Tuan Nghia Nguyen, Xuan Truong Nguyen
cs.CVcs.AIeess.IVarXiv:2608.15349v12026
Primitive Representation Learning for Unsupervised Dynamic Contrast Enhanced MRI Reconstruction
Veronika Spieker, Wenqi Huang, Cemre Ariyurek +5
eess.IVcs.CVcs.LGarXiv:2608.18055v22026
SP$^3$: Spherical Priors for Plug-and-Play Restoration
Sean Man, Ron Raphaeli, Matan Kleiner +1
cs.CVeess.IVarXiv:2606.16396v12026
Iterative Grasp Pose Refinement: A Deep Reinforcement Learning Approach for 2D Vision
Amir Arsalan Nematollahi, Shayan Ahmadi, Mehdi Tale Masouleh +1
cs.ROcs.AIcs.LGarXiv:2608.17628v12026
FRAPPE: Full Input, Residual Output Autoencoding with Projection Pursuit Encoder
Dan Jacobellis, Neeraja J. Yadwadkar
eess.IVarXiv:2605.28992v12026
Synthesizing Post-Acetazolamide Cerebral Blood Flow Maps from Baseline MRI in Moyamoya Using 3D Generative AI
Julia Huang, Camila Gonzalez, Rydham Goyal +5
eess.IVcs.AIcs.CVarXiv:2608.14758v12026
Cross-Modal Ultrasound-MRI Learning for Fetal Brain Ventricular Volumetry and Abnormality Screening
Yuhao Huang, Yuanji Zhang, Yuhuan Lu +3
eess.IVcs.AIcs.CVarXiv:2608.14763v12026
Emotion Across Speech and Faces: Shared Affective Mechanisms in Multimodal Foundation Models
Xiutian Zhao, Luqi Sun, Björn Schuller +1
cs.CLeess.ASeess.IVarXiv:2608.17102v12026
Decoupling Parcellation from Classification: Systematic Benchmark of Fast Brain Segmentation Methods for Alzheimer's Disease Detection
Jiadao Zou, Hongyu Guo, Wei Xi
eess.IVcs.AIcs.CVarXiv:2608.16039v12026
A cross-modal generative model for incomplete and degraded prostate MRI with multicentre clinical validation
Siyuan Ma, Liang He, Mengying Zhu +14
eess.IVcs.AIcs.CVarXiv:2608.16233v12026
PathFinder: Joint Decompositions of Linked Multimodal Datasets
Ying-Qiu Zheng, Alex Fung, Stephen M Smith +2
cs.LGeess.IVq-bio.QMarXiv:2608.14951v12026
PixCon: Clean-Positive Contrastive Learning for Foundation-Model Semi-Supervised Segmentation
Ebenezer Tarubinga
cs.CVcs.AIcs.LGarXiv:2607.03068v12026
OPERA: Offline Policy-guided Expert Routing and Adaptation for Universal Biomedical Image Analysis
Zihan Li, Feiyang Liu, Dandan Shan +2
cs.CVcs.AIcs.LGarXiv:2607.25108v12026
Mage-Flow: An Efficient Native-Resolution Foundation Model for Image Generation and Editing
Xinjie Zhang, Peng Zhang, Shicheng Zheng +21
cs.CVcs.AIcs.LGarXiv:2607.19064v22026
Human-in-the-Loop Signature Bootstrapping for UAV Hyperspectral PFM-1 Mine Detection
Sagar Lekhak, Prasanna Reddy Pulakurthi, Emmett J. Ientilucci
cs.CVeess.IVarXiv:2607.25310v12026
Secret-Stego Dissimilarity as a Design Axis: Invertible Coverless Image Steganography with Diffusion Models
Hongxin Xu, Jianping Mei, Can Wang +1
eess.IVcs.AIcs.CRarXiv:2608.13597v12026
Multi-Task Multi-Frame Visual Piano Transcription
Yonghyun Kim, Hoyeol Sohn, Juhan Nam +1
cs.SDcs.AIcs.CVarXiv:2608.03419v12026
TRUE-Colon: Exposing a Consistent Transfer Asymmetry in Real-Time Polyp Detection
Sebastian Doerrich, Andreas Franz Schwab, Francesco Di Salvo +3
eess.IVcs.CVcs.LGarXiv:2608.13711v12026

Image and Video Processing

Covid-19: Automatic detection from X-Ray images utilizing Transfer Learning with Convolutional Neural Networks

Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data

RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds

SEAOTTER: Sensor Embedded Autoencoding with One-Time Transcode for Efficient Reconstruction

PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection

Deep Learning for 3D Point Clouds: A Survey

Variational image compression with a scale hyperprior

EnlightenGAN: Deep Light Enhancement without Paired Supervision

Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images

Image Super-Resolution via Iterative Refinement

UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation

COVID-Net: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-Ray Images

UNETR: Transformers for 3D Medical Image Segmentation

Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation

MMDetection: Open MMLab Detection Toolbox and Benchmark

CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison

Implicit Neural Representations with Periodic Activation Functions

SwinIR: Image Restoration Using Swin Transformer

Analyzing and Improving the Image Quality of StyleGAN

EfficientDet: Scalable and Efficient Object Detection

UNet++: A Nested U-Net Architecture for Medical Image Segmentation

MagViT: Interpretable Multi-Magnification Transformers with Patient-Level Model Selection for Breast Histopathology

YOLOv4: Optimal Speed and Accuracy of Object Detection

ENAF: A Multi-Exit Network with an Adaptive Patch Fusion for Large Image Super Resolution

Primitive Representation Learning for Unsupervised Dynamic Contrast Enhanced MRI Reconstruction

SP$^3$: Spherical Priors for Plug-and-Play Restoration

Iterative Grasp Pose Refinement: A Deep Reinforcement Learning Approach for 2D Vision

FRAPPE: Full Input, Residual Output Autoencoding with Projection Pursuit Encoder

Synthesizing Post-Acetazolamide Cerebral Blood Flow Maps from Baseline MRI in Moyamoya Using 3D Generative AI

Cross-Modal Ultrasound-MRI Learning for Fetal Brain Ventricular Volumetry and Abnormality Screening

Emotion Across Speech and Faces: Shared Affective Mechanisms in Multimodal Foundation Models

Decoupling Parcellation from Classification: Systematic Benchmark of Fast Brain Segmentation Methods for Alzheimer's Disease Detection

A cross-modal generative model for incomplete and degraded prostate MRI with multicentre clinical validation

PathFinder: Joint Decompositions of Linked Multimodal Datasets

PixCon: Clean-Positive Contrastive Learning for Foundation-Model Semi-Supervised Segmentation

OPERA: Offline Policy-guided Expert Routing and Adaptation for Universal Biomedical Image Analysis

Mage-Flow: An Efficient Native-Resolution Foundation Model for Image Generation and Editing

Human-in-the-Loop Signature Bootstrapping for UAV Hyperspectral PFM-1 Mine Detection

Secret-Stego Dissimilarity as a Design Axis: Invertible Coverless Image Steganography with Diffusion Models

Multi-Task Multi-Frame Visual Piano Transcription

TRUE-Colon: Exposing a Consistent Transfer Asymmetry in Real-Time Polyp Detection