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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961 to 1,020 of 1,302

Anomaly Detection in Video via Self-Supervised and Multi-Task Learning
Mariana-Iuliana Georgescu, Antonio Barbalau, Radu Tudor Ionescu +3
cs.CVcs.LGeess.IVarXiv:2011.07491v32020
Real-World Single Image Super-Resolution: A Brief Review
Honggang Chen, Xiaohai He, Linbo Qing +3
eess.IVcs.CVarXiv:2103.02368v12021
Artificial Intelligence for Digital and Computational Pathology
Andrew H. Song, Guillaume Jaume, Drew F. K. Williamson +4
eess.IVcs.AIcs.CVarXiv:2401.06148v12023
SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss Smoothing
Xue Yang, Junchi Yan, Wenlong Liao +3
cs.CVcs.LGeess.IVarXiv:2004.13316v22020
Lung and Colon Cancer Histopathological Image Dataset (LC25000)
Andrew A. Borkowski, Marilyn M. Bui, L. Brannon Thomas +3
eess.IVcs.CVq-bio.QMarXiv:1912.12142v12019
MS-Net: Multi-Site Network for Improving Prostate Segmentation with Heterogeneous MRI Data
Quande Liu, Qi Dou, Lequan Yu +1
eess.IVcs.CVarXiv:2002.03366v22020
Federated Learning Enables Big Data for Rare Cancer Boundary Detection
Sarthak Pati, Ujjwal Baid, Brandon Edwards +276
cs.LGeess.IVarXiv:2204.10836v22022
Loam_livox: A fast, robust, high-precision LiDAR odometry and mapping package for LiDARs of small FoV
Jiarong Lin, Fu Zhang
cs.ROcs.CVeess.IVarXiv:1909.06700v12019
CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection
Jie Liu, Yixiao Zhang, Jie-Neng Chen +7
eess.IVcs.CVcs.LGarXiv:2301.00785v52023
Deep Learning for Visual Tracking: A Comprehensive Survey
Seyed Mojtaba Marvasti-Zadeh, Li Cheng, Hossein Ghanei-Yakhdan +1
cs.CVcs.LGeess.IVarXiv:1912.00535v22019
Segment Anything Model for Medical Image Segmentation: Current Applications and Future Directions
Yichi Zhang, Zhenrong Shen, Rushi Jiao
eess.IVcs.CVarXiv:2401.03495v12024
MedSegDiff-V2: Diffusion based Medical Image Segmentation with Transformer
Junde Wu, Wei Ji, Huazhu Fu +3
eess.IVcs.CVarXiv:2301.11798v22023
Mamba-UNet: UNet-Like Pure Visual Mamba for Medical Image Segmentation
Ziyang Wang, Jian-Qing Zheng, Yichi Zhang +2
eess.IVcs.CVarXiv:2402.05079v22024
DeepFaceLab: Integrated, flexible and extensible face-swapping framework
Ivan Perov, Daiheng Gao, Nikolay Chervoniy +11
cs.CVcs.LGcs.MMarXiv:2005.05535v52020
A Survey on Generative Adversarial Networks: Variants, Applications, and Training
Abdul Jabbar, Xi Li, Bourahla Omar
cs.CVcs.LGeess.IVarXiv:2006.05132v12020
Hi-Net: Hybrid-fusion Network for Multi-modal MR Image Synthesis
Tao Zhou, Huazhu Fu, Geng Chen +2
cs.CVeess.IVarXiv:2002.05000v12020
Semantic Segmentation of Underwater Imagery: Dataset and Benchmark
Md Jahidul Islam, Chelsey Edge, Yuyang Xiao +5
cs.CVeess.IVarXiv:2004.01241v32020
Large Deformation Diffeomorphic Image Registration with Laplacian Pyramid Networks
Tony C. W. Mok, Albert C. S. Chung
eess.IVcs.CVarXiv:2006.16148v22020
History Repeats Itself: Human Motion Prediction via Motion Attention
Wei Mao, Miaomiao Liu, Mathieu Salzmann
cs.CVcs.LGeess.IVarXiv:2007.11755v12020
HiFuse: Hierarchical Multi-Scale Feature Fusion Network for Medical Image Classification
Xiangzuo Huo, Gang Sun, Shengwei Tian +5
eess.IVcs.CVarXiv:2209.10218v12022
Improving performance of CNN to predict likelihood of COVID-19 using chest X-ray images with preprocessing algorithms
Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, Abolfazl Zargari Khuzani +3
eess.IVcs.LGarXiv:2006.12229v12020
Learning Image-adaptive 3D Lookup Tables for High Performance Photo Enhancement in Real-time
Hui Zeng, Jianrui Cai, Lida Li +2
eess.IVcs.CVarXiv:2009.14468v12020
RTM3D: Real-time Monocular 3D Detection from Object Keypoints for Autonomous Driving
Peixuan Li, Huaici Zhao, Pengfei Liu +1
cs.CVcs.ROeess.IVarXiv:2001.03343v12020
CANet: Cross-disease Attention Network for Joint Diabetic Retinopathy and Diabetic Macular Edema Grading
Xiaomeng Li, Xiaowei Hu, Lequan Yu +3
eess.IVcs.CVarXiv:1911.01376v12019
Sharp U-Net: Depthwise Convolutional Network for Biomedical Image Segmentation
Hasib Zunair, A. Ben Hamza
eess.IVcs.CVarXiv:2107.12461v12021
Deep Learning Based Brain Tumor Segmentation: A Survey
Zhihua Liu, Lei Tong, Zheheng Jiang +6
eess.IVcs.CVarXiv:2007.09479v32020
Classification of Hyperspectral and LiDAR Data Using Coupled CNNs
Renlong Hang, Zhu Li, Pedram Ghamisi +3
cs.CVeess.IVarXiv:2002.01144v12020
Uncertainty-Aware Blind Image Quality Assessment in the Laboratory and Wild
Weixia Zhang, Kede Ma, Guangtao Zhai +1
cs.CVcs.LGcs.MMarXiv:2005.13983v62020
Plug-and-Play Priors for Bright Field Electron Tomography and Sparse Interpolation
Suhas Sreehari, S. V. Venkatakrishnan, Brendt Wohlberg +3
cs.CVeess.IVarXiv:1512.07331v12015
PAD-UFES-20: a skin lesion dataset composed of patient data and clinical images collected from smartphones
Andre G. C. Pacheco, Gustavo R. Lima, Amanda S. Salomão +16
eess.IVq-bio.QMarXiv:2007.00478v22020
VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images
Anjany Sekuboyina, Malek E. Husseini, Amirhossein Bayat +66
cs.CVeess.IVarXiv:2001.09193v62020
ARCH: Animatable Reconstruction of Clothed Humans
Zeng Huang, Yuanlu Xu, Christoph Lassner +2
cs.GRcs.CVcs.LGarXiv:2004.04572v22020
Axiom-based Grad-CAM: Towards Accurate Visualization and Explanation of CNNs
Ruigang Fu, Qingyong Hu, Xiaohu Dong +3
cs.CVcs.AIcs.LGarXiv:2008.02312v42020
Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study
Christoph Baur, Stefan Denner, Benedikt Wiestler +2
eess.IVcs.CVcs.LGarXiv:2004.03271v22020
Anatomy-Guided Foundation Model Adaptation with Within-Case Prototype Supervision for Standard Plane Detection in Fetal Ultrasound Blind Sweeps
Yuzhe Zhao
cs.CVeess.IVarXiv:2608.27051v12026
CheXclusion: Fairness gaps in deep chest X-ray classifiers
Laleh Seyyed-Kalantari, Guanxiong Liu, Matthew McDermott +2
cs.CVcs.AIcs.LGarXiv:2003.00827v22020
PhaseStain: Digital staining of label-free quantitative phase microscopy images using deep learning
Yair Rivenson, Tairan Liu, Zhensong Wei +2
eess.IVcs.CVphysics.med-pharXiv:1807.07701v12018
Structure-Preserving Super Resolution with Gradient Guidance
Cheng Ma, Yongming Rao, Yean Cheng +3
eess.IVcs.CVarXiv:2003.13081v12020
Deblurring via Stochastic Refinement
Jay Whang, Mauricio Delbracio, Hossein Talebi +3
cs.CVeess.IVarXiv:2112.02475v22021
MetaIQA: Deep Meta-learning for No-Reference Image Quality Assessment
Hancheng Zhu, Leida Li, Jinjian Wu +2
eess.IVcs.CVarXiv:2004.05508v12020
Cross-Modality Fusion Transformer for Multispectral Object Detection
Fang Qingyun, Han Dapeng, Wang Zhaokui
eess.IVcs.CVarXiv:2111.00273v42021
Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation
Cheng Chen, Qi Dou, Hao Chen +2
eess.IVcs.CVarXiv:2002.02255v12020
Estimating Uncertainty and Interpretability in Deep Learning for Coronavirus (COVID-19) Detection
Biraja Ghoshal, Allan Tucker
eess.IVcs.CVcs.LGarXiv:2003.10769v22020
NeRV: Neural Representations for Videos
Hao Chen, Bo He, Hanyu Wang +3
cs.CVeess.IVarXiv:2110.13903v12021
UniVL: A Unified Video and Language Pre-Training Model for Multimodal Understanding and Generation
Huaishao Luo, Lei Ji, Botian Shi +6
cs.CVcs.CLcs.LGarXiv:2002.06353v32020
DIDFuse: Deep Image Decomposition for Infrared and Visible Image Fusion
Zixiang Zhao, Shuang Xu, Chunxia Zhang +3
eess.IVcs.CVarXiv:2003.09210v32020
Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstruction
Yuanhao Cai, Jing Lin, Xiaowan Hu +5
eess.IVcs.CVarXiv:2111.07910v22021
Expression, Affect, Action Unit Recognition: Aff-Wild2, Multi-Task Learning and ArcFace
Dimitrios Kollias, Stefanos Zafeiriou
cs.CVcs.HCcs.LGarXiv:1910.04855v12019
Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis
Zongwei Zhou, Vatsal Sodha, Md Mahfuzur Rahman Siddiquee +4
eess.IVcs.CVarXiv:1908.06912v12019
TransAttUnet: Multi-level Attention-guided U-Net with Transformer for Medical Image Segmentation
Bingzhi Chen, Yishu Liu, Zheng Zhang +2
eess.IVcs.CVarXiv:2107.05274v22021
Multi-stage image denoising with the wavelet transform
Chunwei Tian, Menghua Zheng, Wangmeng Zuo +3
eess.IVcs.CVarXiv:2209.12394v32022
Self supervised contrastive learning for digital histopathology
Ozan Ciga, Tony Xu, Anne L. Martel
eess.IVcs.CVarXiv:2011.13971v22020
Dynamic Fusion with Intra- and Inter- Modality Attention Flow for Visual Question Answering
Gao Peng, Zhengkai Jiang, Haoxuan You +4
cs.CVeess.IVarXiv:1812.05252v42018
Fringe pattern analysis using deep learning
Shijie Feng, Qian Chen, Guohua Gu +5
eess.IVarXiv:1807.02757v12018
Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement
Xin Liu, Josh Fromm, Shwetak Patel +1
eess.SPcs.CVeess.IVarXiv:2006.03790v22020
Lung Infection Quantification of COVID-19 in CT Images with Deep Learning
Fei Shan, Yaozong Gao, Jun Wang +6
cs.CVeess.IVq-bio.QMarXiv:2003.04655v32020
Diagnosing COVID-19 Pneumonia from X-Ray and CT Images using Deep Learning and Transfer Learning Algorithms
Halgurd S. Maghdid, Aras T. Asaad, Kayhan Zrar Ghafoor +2
eess.IVcs.CVcs.LGarXiv:2004.00038v12020
When Radiology Report Generation Meets Knowledge Graph
Yixiao Zhang, Xiaosong Wang, Ziyue Xu +3
cs.CVcs.AIcs.LGarXiv:2002.08277v12020
Bi-Directional ConvLSTM U-Net with Densley Connected Convolutions
Reza Azad, Maryam Asadi-Aghbolaghi, Mahmood Fathy +1
eess.IVcs.CVarXiv:1909.00166v12019
Diffusion Models for Medical Anomaly Detection
Julia Wolleb, Florentin Bieder, Robin Sandkühler +1
eess.IVcs.CVarXiv:2203.04306v22022

Image and Video Processing

Anomaly Detection in Video via Self-Supervised and Multi-Task Learning

Real-World Single Image Super-Resolution: A Brief Review

Artificial Intelligence for Digital and Computational Pathology

SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss Smoothing

Lung and Colon Cancer Histopathological Image Dataset (LC25000)

MS-Net: Multi-Site Network for Improving Prostate Segmentation with Heterogeneous MRI Data

Federated Learning Enables Big Data for Rare Cancer Boundary Detection

Loam_livox: A fast, robust, high-precision LiDAR odometry and mapping package for LiDARs of small FoV

CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection

Deep Learning for Visual Tracking: A Comprehensive Survey

Segment Anything Model for Medical Image Segmentation: Current Applications and Future Directions

MedSegDiff-V2: Diffusion based Medical Image Segmentation with Transformer

Mamba-UNet: UNet-Like Pure Visual Mamba for Medical Image Segmentation

DeepFaceLab: Integrated, flexible and extensible face-swapping framework

A Survey on Generative Adversarial Networks: Variants, Applications, and Training

Hi-Net: Hybrid-fusion Network for Multi-modal MR Image Synthesis

Semantic Segmentation of Underwater Imagery: Dataset and Benchmark

Large Deformation Diffeomorphic Image Registration with Laplacian Pyramid Networks

History Repeats Itself: Human Motion Prediction via Motion Attention

HiFuse: Hierarchical Multi-Scale Feature Fusion Network for Medical Image Classification

Improving performance of CNN to predict likelihood of COVID-19 using chest X-ray images with preprocessing algorithms

Learning Image-adaptive 3D Lookup Tables for High Performance Photo Enhancement in Real-time

RTM3D: Real-time Monocular 3D Detection from Object Keypoints for Autonomous Driving

CANet: Cross-disease Attention Network for Joint Diabetic Retinopathy and Diabetic Macular Edema Grading

Sharp U-Net: Depthwise Convolutional Network for Biomedical Image Segmentation

Deep Learning Based Brain Tumor Segmentation: A Survey

Classification of Hyperspectral and LiDAR Data Using Coupled CNNs

Uncertainty-Aware Blind Image Quality Assessment in the Laboratory and Wild

Plug-and-Play Priors for Bright Field Electron Tomography and Sparse Interpolation

PAD-UFES-20: a skin lesion dataset composed of patient data and clinical images collected from smartphones

VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images

ARCH: Animatable Reconstruction of Clothed Humans

Axiom-based Grad-CAM: Towards Accurate Visualization and Explanation of CNNs

Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study

Anatomy-Guided Foundation Model Adaptation with Within-Case Prototype Supervision for Standard Plane Detection in Fetal Ultrasound Blind Sweeps

CheXclusion: Fairness gaps in deep chest X-ray classifiers

PhaseStain: Digital staining of label-free quantitative phase microscopy images using deep learning

Structure-Preserving Super Resolution with Gradient Guidance

Deblurring via Stochastic Refinement

MetaIQA: Deep Meta-learning for No-Reference Image Quality Assessment

Cross-Modality Fusion Transformer for Multispectral Object Detection

Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation

Estimating Uncertainty and Interpretability in Deep Learning for Coronavirus (COVID-19) Detection

NeRV: Neural Representations for Videos

UniVL: A Unified Video and Language Pre-Training Model for Multimodal Understanding and Generation

DIDFuse: Deep Image Decomposition for Infrared and Visible Image Fusion

Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstruction

Expression, Affect, Action Unit Recognition: Aff-Wild2, Multi-Task Learning and ArcFace

Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis

TransAttUnet: Multi-level Attention-guided U-Net with Transformer for Medical Image Segmentation

Multi-stage image denoising with the wavelet transform

Self supervised contrastive learning for digital histopathology

Dynamic Fusion with Intra- and Inter- Modality Attention Flow for Visual Question Answering

Fringe pattern analysis using deep learning

Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement

Lung Infection Quantification of COVID-19 in CT Images with Deep Learning

Diagnosing COVID-19 Pneumonia from X-Ray and CT Images using Deep Learning and Transfer Learning Algorithms

When Radiology Report Generation Meets Knowledge Graph

Bi-Directional ConvLSTM U-Net with Densley Connected Convolutions

Diffusion Models for Medical Anomaly Detection