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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601 to 660 of 1,302

HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model
Di Wang, Meiqi Hu, Yao Jin +19
cs.CVeess.IVarXiv:2406.11519v22024
A Critic Evaluation of Methods for COVID-19 Automatic Detection from X-Ray Images
Gianluca Maguolo, Loris Nanni
eess.IVcs.CVcs.LGarXiv:2004.12823v42020
KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image and Volumetric Segmentation
Jeya Maria Jose Valanarasu, Vishwanath A. Sindagi, Ilker Hacihaliloglu +1
eess.IVcs.CVarXiv:2010.01663v22020
Perceptually Regularized Diffusion Model for Image Super-Resolution
Chuxiangbo Wang, Pavithra Venkatachalapathy, Ying Liang +4
eess.IVcs.CVcs.LGarXiv:2609.02016v12026
AP-BSN: Self-Supervised Denoising for Real-World Images via Asymmetric PD and Blind-Spot Network
Wooseok Lee, Sanghyun Son, Kyoung Mu Lee
cs.CVeess.IVarXiv:2203.11799v22022
A Realistic Fish-Habitat Dataset to Evaluate Algorithms for Underwater Visual Analysis
Alzayat Saleh, Issam H. Laradji, Dmitry A. Konovalov +3
cs.CVcs.LGeess.IVarXiv:2008.12603v12020
Dual Contrastive Learning for Unsupervised Image-to-Image Translation
Junlin Han, Mehrdad Shoeiby, Lars Petersson +1
cs.CVeess.IVarXiv:2104.07689v12021
HDR-GAN: HDR Image Reconstruction from Multi-Exposed LDR Images with Large Motions
Yuzhen Niu, Jianbin Wu, Wenxi Liu +2
eess.IVcs.CVarXiv:2007.01628v12020
Remote Sensing Image Super-resolution and Object Detection: Benchmark and State of the Art
Yi Wang, Syed Muhammad Arsalan Bashir, Mahrukh Khan +5
cs.CVcs.AIcs.LGarXiv:2111.03260v12021
Sanity Checks for Saliency Metrics
Richard Tomsett, Dan Harborne, Supriyo Chakraborty +2
cs.LGcs.CVeess.IVarXiv:1912.01451v12019
Benchmarking the Robustness of Semantic Segmentation Models
Christoph Kamann, Carsten Rother
cs.CVeess.IVarXiv:1908.05005v32019
CLOTH3D: Clothed 3D Humans
Hugo Bertiche, Meysam Madadi, Sergio Escalera
cs.CVcs.LGeess.IVarXiv:1912.02792v22019
Degradation-Aware Unfolding Half-Shuffle Transformer for Spectral Compressive Imaging
Yuanhao Cai, Jing Lin, Haoqian Wang +5
eess.IVcs.CVarXiv:2205.10102v32022
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images
Yanning Zhou, Simon Graham, Navid Alemi Koohbanani +3
eess.IVcs.CVarXiv:1909.01068v12019
Sparse Tensor-based Multiscale Representation for Point Cloud Geometry Compression
Jianqiang Wang, Dandan Ding, Zhu Li +3
cs.CVeess.IVarXiv:2111.10633v22021
Entroformer: A Transformer-based Entropy Model for Learned Image Compression
Yichen Qian, Ming Lin, Xiuyu Sun +2
eess.IVcs.CVarXiv:2202.05492v22022
Cross-Modality Deep Feature Learning for Brain Tumor Segmentation
Dingwen Zhang, Guohai Huang, Qiang Zhang +3
eess.IVcs.CVarXiv:2201.02356v12022
Convolutional Dictionary Learning: A Comparative Review and New Algorithms
Cristina Garcia-Cardona, Brendt Wohlberg
cs.LGeess.IVstat.MLarXiv:1709.02893v52017
RegNet: Self-Regulated Network for Image Classification
Jing Xu, Yu Pan, Xinglin Pan +3
eess.IVcs.CVarXiv:2101.00590v12021
PM2.5-GNN: A Domain Knowledge Enhanced Graph Neural Network For PM2.5 Forecasting
Shuo Wang, Yanran Li, Jiang Zhang +3
eess.SPcs.LGeess.IVarXiv:2002.12898v22020
Audio-Visual Segmentation
Jinxing Zhou, Jianyuan Wang, Jiayi Zhang +7
cs.CVcs.MMcs.SDarXiv:2207.05042v32022
Unpaired Multi-modal Segmentation via Knowledge Distillation
Qi Dou, Quande Liu, Pheng Ann Heng +1
cs.CVeess.IVarXiv:2001.03111v12020
Fully Automatic Wound Segmentation with Deep Convolutional Neural Networks
Chuanbo Wang, DM Anisuzzaman, Victor Williamson +5
eess.IVcs.CVarXiv:2010.05855v12020
OctSqueeze: Octree-Structured Entropy Model for LiDAR Compression
Lila Huang, Shenlong Wang, Kelvin Wong +2
eess.IVcs.CVarXiv:2005.07178v22020
Blind2Unblind: Self-Supervised Image Denoising with Visible Blind Spots
Zejin Wang, Jiazheng Liu, Guoqing Li +1
eess.IVcs.CVarXiv:2203.06967v32022
Spectral band selection for vegetation properties retrieval using Gaussian processes regression
Jochem Verrelst, Juan Pablo Rivera, Anatoly Gitelson +3
cs.CVeess.IVstat.AParXiv:2012.08640v12020
Computed Tomography Reconstruction Using Deep Image Prior and Learned Reconstruction Methods
Daniel Otero Baguer, Johannes Leuschner, Maximilian Schmidt
eess.IVcs.CVcs.LGarXiv:2003.04989v22020
Radiology Report Generation with a Learned Knowledge Base and Multi-modal Alignment
Shuxin Yang, Xian Wu, Shen Ge +2
eess.IVcs.CLcs.CVarXiv:2112.15011v22021
FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation
Nikhil Kumar Tomar, Debesh Jha, Michael A. Riegler +5
cs.CVeess.IVarXiv:2103.17235v32021
Residual Attention U-Net for Automated Multi-Class Segmentation of COVID-19 Chest CT Images
Xiaocong Chen, Lina Yao, Yu Zhang
eess.IVcs.CVcs.LGarXiv:2004.05645v12020
Ground Truth Evaluation of Neural Network Explanations with CLEVR-XAI
Leila Arras, Ahmed Osman, Wojciech Samek
cs.CVcs.LGcs.NEarXiv:2003.07258v22020
Replacing Mobile Camera ISP with a Single Deep Learning Model
Andrey Ignatov, Luc Van Gool, Radu Timofte
cs.CVcs.GReess.IVarXiv:2002.05509v12020
A deep active learning system for species identification and counting in camera trap images
Mohammad Sadegh Norouzzadeh, Dan Morris, Sara Beery +3
cs.LGcs.CVeess.IVarXiv:1910.09716v12019
Agriculture-Vision: A Large Aerial Image Database for Agricultural Pattern Analysis
Mang Tik Chiu, Xingqian Xu, Yunchao Wei +12
cs.CVcs.CYcs.LGarXiv:2001.01306v22020
Distortion Agnostic Deep Watermarking
Xiyang Luo, Ruohan Zhan, Huiwen Chang +2
cs.MMcs.CVcs.LGarXiv:2001.04580v12020
Temporally Distributed Networks for Fast Video Semantic Segmentation
Ping Hu, Fabian Caba Heilbron, Oliver Wang +3
cs.CVcs.LGcs.MMarXiv:2004.01800v22020
TorchXRayVision: A library of chest X-ray datasets and models
Joseph Paul Cohen, Joseph D. Viviano, Paul Bertin +8
eess.IVcs.AIcs.CVarXiv:2111.00595v12021
UNIT-DDPM: UNpaired Image Translation with Denoising Diffusion Probabilistic Models
Hiroshi Sasaki, Chris G. Willcocks, Toby P. Breckon
cs.CVcs.LGeess.IVarXiv:2104.05358v12021
COVIDNet-CT: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest CT Images
Hayden Gunraj, Linda Wang, Alexander Wong
eess.IVcs.CVcs.LGarXiv:2009.05383v12020
UltraLight VM-UNet: Parallel Vision Mamba Significantly Reduces Parameters for Skin Lesion Segmentation
Renkai Wu, Yinghao Liu, Pengchen Liang +1
eess.IVcs.CVarXiv:2403.20035v32024
What Matters in Unsupervised Optical Flow
Rico Jonschkowski, Austin Stone, Jonathan T. Barron +3
cs.CVcs.LGeess.IVarXiv:2006.04902v22020
SUNet: Swin Transformer UNet for Image Denoising
Chi-Mao Fan, Tsung-Jung Liu, Kuan-Hsien Liu
eess.IVcs.CVcs.LGarXiv:2202.14009v12022
Attention Guided Network for Retinal Image Segmentation
Shihao Zhang, Huazhu Fu, Yuguang Yan +5
eess.IVcs.CVarXiv:1907.12930v32019
Robust machine learning segmentation for large-scale analysis of heterogeneous clinical brain MRI datasets
Benjamin Billot, Colin Magdamo, You Cheng +3
eess.IVcs.CVarXiv:2209.02032v22022
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
Unsupervised Domain Adaptation in Semantic Segmentation: a Review
Marco Toldo, Andrea Maracani, Umberto Michieli +1
cs.CVcs.LGeess.IVarXiv:2005.10876v12020
Swin Transformer for Fast MRI
Jiahao Huang, Yingying Fang, Yinzhe Wu +6
eess.IVcs.AIcs.CVarXiv:2201.03230v22022
DeepEDN: A Deep Learning-based Image Encryption and Decryption Network for Internet of Medical Things
Yi Ding, Guozheng Wu, Dajiang Chen +4
cs.CRcs.CVeess.IVarXiv:2004.05523v22020
You Only Need Adversarial Supervision for Semantic Image Synthesis
Vadim Sushko, Edgar Schönfeld, Dan Zhang +3
cs.CVcs.LGeess.IVarXiv:2012.04781v32020
Boundary-aware Context Neural Network for Medical Image Segmentation
Ruxin Wang, Shuyuan Chen, Chaojie Ji +2
eess.IVcs.CVarXiv:2005.00966v12020
Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans
Michael Roberts, Derek Driggs, Matthew Thorpe +13
cs.LGcs.CVeess.IVarXiv:2008.06388v42020
RetinaTrack: Online Single Stage Joint Detection and Tracking
Zhichao Lu, Vivek Rathod, Ronny Votel +1
cs.CVcs.LGeess.IVarXiv:2003.13870v12020
Detecting Deep-Fake Videos from Appearance and Behavior
Shruti Agarwal, Tarek El-Gaaly, Hany Farid +1
cs.CVcs.LGcs.MMarXiv:2004.14491v12020
CTformer: Convolution-free Token2Token Dilated Vision Transformer for Low-dose CT Denoising
Dayang Wang, Fenglei Fan, Zhan Wu +3
eess.IVcs.CVarXiv:2202.13517v12022
OmniRAS: Standardizing Foundation Model Training and Evaluation in Robot-Assisted Surgery
Leonardo Borgioli, Neil Getty, Wenli Xiu +8
eess.IVarXiv:2608.31048v12026
ReLViC: Loss-Resilient Learned Video Coding with Dispersed Packetization and Controllable Packet Dependencies
Xuyang Chen, Daquan Feng, Xianfu Chen +1
eess.IVcs.MMarXiv:2608.30202v12026
Neural Video Compression with Feature Modulation
Jiahao Li, Bin Li, Yan Lu
cs.CVeess.IVarXiv:2402.17414v22024
Transfer Learning from Synthetic to Real-Noise Denoising with Adaptive Instance Normalization
Yoonsik Kim, Jae Woong Soh, Gu Yong Park +1
cs.CVeess.IVarXiv:2002.11244v22020
XNOR-Net++: Improved Binary Neural Networks
Adrian Bulat, Georgios Tzimiropoulos
cs.CVcs.LGeess.IVarXiv:1909.13863v12019
Real-Time Video Anomaly Detection Using YOLO Pose Estimation and CLIP-Based Semantic Scoring
Vanodhya G. Warnasooriya, Amir Hajian, Watchara Ruangsang +1
cs.CVcs.AIeess.IVarXiv:2608.31074v12026

Image and Video Processing

HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model

A Critic Evaluation of Methods for COVID-19 Automatic Detection from X-Ray Images

KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image and Volumetric Segmentation

Perceptually Regularized Diffusion Model for Image Super-Resolution

AP-BSN: Self-Supervised Denoising for Real-World Images via Asymmetric PD and Blind-Spot Network

A Realistic Fish-Habitat Dataset to Evaluate Algorithms for Underwater Visual Analysis

Dual Contrastive Learning for Unsupervised Image-to-Image Translation

HDR-GAN: HDR Image Reconstruction from Multi-Exposed LDR Images with Large Motions

Remote Sensing Image Super-resolution and Object Detection: Benchmark and State of the Art

Sanity Checks for Saliency Metrics

Benchmarking the Robustness of Semantic Segmentation Models

CLOTH3D: Clothed 3D Humans

Degradation-Aware Unfolding Half-Shuffle Transformer for Spectral Compressive Imaging

CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images

Sparse Tensor-based Multiscale Representation for Point Cloud Geometry Compression

Entroformer: A Transformer-based Entropy Model for Learned Image Compression

Cross-Modality Deep Feature Learning for Brain Tumor Segmentation

Convolutional Dictionary Learning: A Comparative Review and New Algorithms

RegNet: Self-Regulated Network for Image Classification

PM2.5-GNN: A Domain Knowledge Enhanced Graph Neural Network For PM2.5 Forecasting

Audio-Visual Segmentation

Unpaired Multi-modal Segmentation via Knowledge Distillation

Fully Automatic Wound Segmentation with Deep Convolutional Neural Networks

OctSqueeze: Octree-Structured Entropy Model for LiDAR Compression

Blind2Unblind: Self-Supervised Image Denoising with Visible Blind Spots

Spectral band selection for vegetation properties retrieval using Gaussian processes regression

Computed Tomography Reconstruction Using Deep Image Prior and Learned Reconstruction Methods

Radiology Report Generation with a Learned Knowledge Base and Multi-modal Alignment

FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation

Residual Attention U-Net for Automated Multi-Class Segmentation of COVID-19 Chest CT Images

Ground Truth Evaluation of Neural Network Explanations with CLEVR-XAI

Replacing Mobile Camera ISP with a Single Deep Learning Model

A deep active learning system for species identification and counting in camera trap images

Agriculture-Vision: A Large Aerial Image Database for Agricultural Pattern Analysis

Distortion Agnostic Deep Watermarking

Temporally Distributed Networks for Fast Video Semantic Segmentation

TorchXRayVision: A library of chest X-ray datasets and models

UNIT-DDPM: UNpaired Image Translation with Denoising Diffusion Probabilistic Models

COVIDNet-CT: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest CT Images

UltraLight VM-UNet: Parallel Vision Mamba Significantly Reduces Parameters for Skin Lesion Segmentation

What Matters in Unsupervised Optical Flow

SUNet: Swin Transformer UNet for Image Denoising

Attention Guided Network for Retinal Image Segmentation

Robust machine learning segmentation for large-scale analysis of heterogeneous clinical brain MRI datasets

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

Unsupervised Domain Adaptation in Semantic Segmentation: a Review

Swin Transformer for Fast MRI

DeepEDN: A Deep Learning-based Image Encryption and Decryption Network for Internet of Medical Things

You Only Need Adversarial Supervision for Semantic Image Synthesis

Boundary-aware Context Neural Network for Medical Image Segmentation

Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans

RetinaTrack: Online Single Stage Joint Detection and Tracking

Detecting Deep-Fake Videos from Appearance and Behavior

CTformer: Convolution-free Token2Token Dilated Vision Transformer for Low-dose CT Denoising

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

ReLViC: Loss-Resilient Learned Video Coding with Dispersed Packetization and Controllable Packet Dependencies

Neural Video Compression with Feature Modulation

Transfer Learning from Synthetic to Real-Noise Denoising with Adaptive Instance Normalization

XNOR-Net++: Improved Binary Neural Networks

Real-Time Video Anomaly Detection Using YOLO Pose Estimation and CLIP-Based Semantic Scoring