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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1,021 to 1,080 of 1,302

SRFlow: Learning the Super-Resolution Space with Normalizing Flow
Andreas Lugmayr, Martin Danelljan, Luc Van Gool +1
cs.CVeess.IVarXiv:2006.14200v22020
Checkerboard Context Model for Efficient Learned Image Compression
Dailan He, Yaoyan Zheng, Baocheng Sun +2
eess.IVcs.CVarXiv:2103.15306v22021
Quality Assessment of In-the-Wild Videos
Dingquan Li, Tingting Jiang, Ming Jiang
cs.MMcs.CVeess.IVarXiv:1908.00375v32019
Mixed Transformer U-Net For Medical Image Segmentation
Hongyi Wang, Shiao Xie, Lanfen Lin +4
eess.IVcs.AIcs.CVarXiv:2111.04734v22021
VRT: A Video Restoration Transformer
Jingyun Liang, Jiezhang Cao, Yuchen Fan +5
cs.CVeess.IVarXiv:2201.12288v22022
DCSAU-Net: A Deeper and More Compact Split-Attention U-Net for Medical Image Segmentation
Qing Xu, Zhicheng Ma, Na HE +1
eess.IVcs.AIcs.CVarXiv:2202.00972v22022
Masked Siamese Networks for Label-Efficient Learning
Mahmoud Assran, Mathilde Caron, Ishan Misra +6
cs.LGcs.AIcs.CVarXiv:2204.07141v12022
A Model-driven Deep Neural Network for Single Image Rain Removal
Hong Wang, Qi Xie, Qian Zhao +1
eess.IVcs.CVarXiv:2005.01333v12020
Deep speckle correlation: a deep learning approach towards scalable imaging through scattering media
Yunzhe Li, Yujia Xue, Lei Tian
eess.IVphysics.opticsarXiv:1806.04139v22018
ReActNet: Towards Precise Binary Neural Network with Generalized Activation Functions
Zechun Liu, Zhiqiang Shen, Marios Savvides +1
cs.CVcs.LGeess.IVarXiv:2003.03488v22020
End-to-End Variational Networks for Accelerated MRI Reconstruction
Anuroop Sriram, Jure Zbontar, Tullie Murrell +5
eess.IVcs.CVarXiv:2004.06688v22020
JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation
Yu-Huan Wu, Shang-Hua Gao, Jie Mei +4
eess.IVcs.CVcs.LGarXiv:2004.07054v32020
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
StyTr$^2$: Image Style Transfer with Transformers
Yingying Deng, Fan Tang, Weiming Dong +4
cs.CVeess.IVarXiv:2105.14576v32021
Deep Multi-View Enhancement Hashing for Image Retrieval
Chenggang Yan, Biao Gong, Yuxuan Wei +1
cs.CVcs.LGeess.IVarXiv:2002.00169v22020
MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation
Saikat Roy, Gregor Koehler, Constantin Ulrich +5
eess.IVcs.CVcs.LGarXiv:2303.09975v52023
Self-Correction for Human Parsing
Peike Li, Yunqiu Xu, Yunchao Wei +1
cs.CVcs.LGeess.IVarXiv:1910.09777v12019
Context-adaptive Entropy Model for End-to-end Optimized Image Compression
Jooyoung Lee, Seunghyun Cho, Seung-Kwon Beack
eess.IVarXiv:1809.10452v42018
CycleISP: Real Image Restoration via Improved Data Synthesis
Syed Waqas Zamir, Aditya Arora, Salman Khan +4
eess.IVcs.CVarXiv:2003.07761v12020
nnU-Net for Brain Tumor Segmentation
Fabian Isensee, Paul F. Jaeger, Peter M. Full +2
eess.IVcs.CVarXiv:2011.00848v12020
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
From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture Quality
Zhenqiang Ying, Haoran Niu, Praful Gupta +3
cs.CVcs.MMeess.IVarXiv:1912.10088v12019
GRNet: Gridding Residual Network for Dense Point Cloud Completion
Haozhe Xie, Hongxun Yao, Shangchen Zhou +3
cs.CVcs.LGeess.IVarXiv:2006.03761v42020
Plug-and-Play Methods Provably Converge with Properly Trained Denoisers
Ernest K. Ryu, Jialin Liu, Sicheng Wang +3
cs.CVeess.IVarXiv:1905.05406v12019
Efficient Image Super-Resolution Using Pixel Attention
Hengyuan Zhao, Xiangtao Kong, Jingwen He +2
eess.IVcs.CVarXiv:2010.01073v12020
Surgical Video Motion Magnification with Suppression of Instrument Artefacts
Mirek Janatka, Hani J. Marcus, Neil L. Dorward +1
eess.IVcs.CVarXiv:2009.07432v12020
DP-JMRNet: A Deep Unfolding Network for Differential Phase Preservation in Sparse Bitemporal SAR Reconstruction
Juncheng Bao, Zhen Zhang, George P. Petropoulos
eess.SPeess.IVarXiv:2608.26605v12026
Data Efficient and Weakly Supervised Computational Pathology on Whole Slide Images
Ming Y. Lu, Drew F. K. Williamson, Tiffany Y. Chen +3
eess.IVcs.CVcs.LGarXiv:2004.09666v22020
R2RNet: Low-light Image Enhancement via Real-low to Real-normal Network
Jiang Hai, Zhu Xuan, Songchen Han +4
cs.CVeess.IVarXiv:2106.14501v22021
Federated Learning for Medical Image Analysis: A Survey
Hao Guan, Pew-Thian Yap, Andrea Bozoki +1
cs.CVeess.IVarXiv:2306.05980v42023
Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining
Jiarun Liu, Hao Yang, Hong-Yu Zhou +8
eess.IVcs.CVcs.LGarXiv:2402.03302v22024
Pose-Controllable Talking Face Generation by Implicitly Modularized Audio-Visual Representation
Hang Zhou, Yasheng Sun, Wayne Wu +3
cs.CVcs.LGcs.MMarXiv:2104.11116v12021
Neighbor2Neighbor: Self-Supervised Denoising from Single Noisy Images
Tao Huang, Songjiang Li, Xu Jia +2
eess.IVcs.CVarXiv:2101.02824v32021
Multi-scale Dynamic Graph Convolutional Network for Hyperspectral Image Classification
Sheng Wan, Chen Gong, Ping Zhong +3
eess.IVcs.LGstat.MLarXiv:1905.06133v12019
Knowledge Distillation Driven Semantic NOMA with GAN Refinement for 6G Robotic Vehicle Networks
Qifei Wang, Zhen Gao, Li Qiao +4
cs.ITcs.CVeess.IVarXiv:2608.27198v12026
Quantifying vegetation biophysical variables from imaging spectroscopy data: a review on retrieval methods
Jochem Verrelst, Zbyněk Malenovský, Christiaan Van der Tol +5
q-bio.QMeess.IVarXiv:2012.04555v12020
SmaAt-UNet: Precipitation Nowcasting using a Small Attention-UNet Architecture
Kevin Trebing, Tomasz Stanczyk, Siamak Mehrkanoon
cs.LGeess.IVarXiv:2007.04417v22020
Denoising Diffusion Models for Plug-and-Play Image Restoration
Yuanzhi Zhu, Kai Zhang, Jingyun Liang +4
cs.CVeess.IVarXiv:2305.08995v12023
A scoping review of transfer learning research on medical image analysis using ImageNet
Mohammad Amin Morid, Alireza Borjali, Guilherme Del Fiol
eess.IVcs.CVcs.LGarXiv:2004.13175v52020
Causality matters in medical imaging
Daniel C. Castro, Ian Walker, Ben Glocker
eess.IVcs.AIcs.CVarXiv:1912.08142v12019
ChangeMamba: Remote Sensing Change Detection With Spatiotemporal State Space Model
Hongruixuan Chen, Jian Song, Chengxi Han +2
eess.IVcs.AIcs.CVarXiv:2404.03425v72024
Secure and Robust Machine Learning for Healthcare: A Survey
Adnan Qayyum, Junaid Qadir, Muhammad Bilal +1
cs.LGeess.IVstat.MLarXiv:2001.08103v12020
Generative Adversarial Networks (GANs Survey): Challenges, Solutions, and Future Directions
Divya Saxena, Jiannong Cao
cs.LGeess.IVstat.MLarXiv:2005.00065v42020
Pre-training Molecular Graph Representation with 3D Geometry
Shengchao Liu, Hanchen Wang, Weiyang Liu +3
cs.LGcs.CVeess.IVarXiv:2110.07728v22021
HiFiC-G: Adapting HiFiC for Hi-C Contact Matrices
Andre Antonio Straton
eess.IVcs.CVq-bio.GNarXiv:2608.21446v12026
Multi-site fMRI Analysis Using Privacy-preserving Federated Learning and Domain Adaptation: ABIDE Results
Xiaoxiao Li, Yufeng Gu, Nicha Dvornek +3
cs.LGeess.IVarXiv:2001.05647v32020
Learned Image Compression with Mixed Transformer-CNN Architectures
Jinming Liu, Heming Sun, Jiro Katto
eess.IVcs.CVarXiv:2303.14978v12023
A Deep Learning Approach for Brain Tumor Classification and Segmentation Using a Multiscale Convolutional Neural Network
Francisco Javier Díaz-Pernas, Mario Martínez-Zarzuela, Míriam Antón-Rodríguez +1
eess.IVcs.AIcs.CVarXiv:2402.05975v12024
Brain Imaging Generation with Latent Diffusion Models
Walter H. L. Pinaya, Petru-Daniel Tudosiu, Jessica Dafflon +5
eess.IVcs.CVq-bio.QMarXiv:2209.07162v12022
Deep Learning for Chest X-ray Analysis: A Survey
Ecem Sogancioglu, Erdi Çallı, Bram van Ginneken +2
eess.IVcs.CVarXiv:2103.08700v12021
Deep Contextual Video Compression
Jiahao Li, Bin Li, Yan Lu
eess.IVcs.CVcs.MMarXiv:2109.15047v22021
A2D2: Audi Autonomous Driving Dataset
Jakob Geyer, Yohannes Kassahun, Mentar Mahmudi +16
cs.CVcs.LGeess.IVarXiv:2004.06320v22020
DeepView: View Synthesis with Learned Gradient Descent
John Flynn, Michael Broxton, Paul Debevec +5
cs.CVcs.GRcs.LGarXiv:1906.07316v12019
SweepLSD: A One-Pass, O(width)-Memory Line Segment Detector with an Integer-Only Streaming Core and a Real-Time FPGA Realization
Yoshiyasu Shimizu
eess.IVcs.ARcs.CVarXiv:2608.22086v12026
Focal Frequency Loss for Image Reconstruction and Synthesis
Liming Jiang, Bo Dai, Wayne Wu +1
cs.CVcs.LGeess.IVarXiv:2012.12821v32020
SA-UNet: Spatial Attention U-Net for Retinal Vessel Segmentation
Changlu Guo, Márton Szemenyei, Yugen Yi +3
eess.IVcs.CVarXiv:2004.03696v32020
COVID-ResNet: A Deep Learning Framework for Screening of COVID19 from Radiographs
Muhammad Farooq, Abdul Hafeez
eess.IVcs.CVcs.LGarXiv:2003.14395v12020
CiUNet: A Hybrid Swin-CNN UNet for Medical Image Segmentation
Bin Dong, Jinghong Chen
eess.IVcs.CVarXiv:2608.22281v12026
GETNET: A General End-to-end Two-dimensional CNN Framework for Hyperspectral Image Change Detection
Qi Wang, Zhenghang Yuan, Qian Du +1
cs.CVeess.IVarXiv:1905.01662v12019
Disparities in Dermatology AI Performance on a Diverse, Curated Clinical Image Set
Roxana Daneshjou, Kailas Vodrahalli, Roberto A Novoa +16
eess.IVcs.AIcs.CVarXiv:2203.08807v12022

Image and Video Processing

SRFlow: Learning the Super-Resolution Space with Normalizing Flow

Checkerboard Context Model for Efficient Learned Image Compression

Quality Assessment of In-the-Wild Videos

Mixed Transformer U-Net For Medical Image Segmentation

VRT: A Video Restoration Transformer

DCSAU-Net: A Deeper and More Compact Split-Attention U-Net for Medical Image Segmentation

Masked Siamese Networks for Label-Efficient Learning

A Model-driven Deep Neural Network for Single Image Rain Removal

Deep speckle correlation: a deep learning approach towards scalable imaging through scattering media

ReActNet: Towards Precise Binary Neural Network with Generalized Activation Functions

End-to-End Variational Networks for Accelerated MRI Reconstruction

JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation

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

StyTr$^2$: Image Style Transfer with Transformers

Deep Multi-View Enhancement Hashing for Image Retrieval

MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation

Self-Correction for Human Parsing

Context-adaptive Entropy Model for End-to-end Optimized Image Compression

CycleISP: Real Image Restoration via Improved Data Synthesis

nnU-Net for Brain Tumor Segmentation

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

From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture Quality

GRNet: Gridding Residual Network for Dense Point Cloud Completion

Plug-and-Play Methods Provably Converge with Properly Trained Denoisers

Efficient Image Super-Resolution Using Pixel Attention

Surgical Video Motion Magnification with Suppression of Instrument Artefacts

DP-JMRNet: A Deep Unfolding Network for Differential Phase Preservation in Sparse Bitemporal SAR Reconstruction

Data Efficient and Weakly Supervised Computational Pathology on Whole Slide Images

R2RNet: Low-light Image Enhancement via Real-low to Real-normal Network

Federated Learning for Medical Image Analysis: A Survey

Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining

Pose-Controllable Talking Face Generation by Implicitly Modularized Audio-Visual Representation

Neighbor2Neighbor: Self-Supervised Denoising from Single Noisy Images

Multi-scale Dynamic Graph Convolutional Network for Hyperspectral Image Classification

Knowledge Distillation Driven Semantic NOMA with GAN Refinement for 6G Robotic Vehicle Networks

Quantifying vegetation biophysical variables from imaging spectroscopy data: a review on retrieval methods

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

Denoising Diffusion Models for Plug-and-Play Image Restoration

A scoping review of transfer learning research on medical image analysis using ImageNet

Causality matters in medical imaging

ChangeMamba: Remote Sensing Change Detection With Spatiotemporal State Space Model

Secure and Robust Machine Learning for Healthcare: A Survey

Generative Adversarial Networks (GANs Survey): Challenges, Solutions, and Future Directions

Pre-training Molecular Graph Representation with 3D Geometry

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

Multi-site fMRI Analysis Using Privacy-preserving Federated Learning and Domain Adaptation: ABIDE Results

Learned Image Compression with Mixed Transformer-CNN Architectures

A Deep Learning Approach for Brain Tumor Classification and Segmentation Using a Multiscale Convolutional Neural Network

Brain Imaging Generation with Latent Diffusion Models

Deep Learning for Chest X-ray Analysis: A Survey

Deep Contextual Video Compression

A2D2: Audi Autonomous Driving Dataset

DeepView: View Synthesis with Learned Gradient Descent

SweepLSD: A One-Pass, O(width)-Memory Line Segment Detector with an Integer-Only Streaming Core and a Real-Time FPGA Realization

Focal Frequency Loss for Image Reconstruction and Synthesis

SA-UNet: Spatial Attention U-Net for Retinal Vessel Segmentation

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

CiUNet: A Hybrid Swin-CNN UNet for Medical Image Segmentation

GETNET: A General End-to-end Two-dimensional CNN Framework for Hyperspectral Image Change Detection

Disparities in Dermatology AI Performance on a Diverse, Curated Clinical Image Set