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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1,621 to 1,680 of 1,903

MetaIQA: Deep Meta-learning for No-Reference Image Quality Assessment
Hancheng Zhu, Leida Li, Jinjian Wu +2
eess.IVcs.CVarXiv:2004.05508v12020
A Review on Deep Learning Techniques for Video Prediction
Sergiu Oprea, Pablo Martinez-Gonzalez, Alberto Garcia-Garcia +4
cs.CVcs.LGeess.IVarXiv:2004.05214v22020
Improved Deep Point Cloud Geometry Compression
Maurice Quach, Giuseppe Valenzise, Frederic Dufaux
cs.CVcs.LGeess.IVarXiv:2006.09043v22020
Single Image Deraining: From Model-Based to Data-Driven and Beyond
Wenhan Yang, Robby T. Tan, Shiqi Wang +2
eess.IVcs.CVarXiv:1912.07150v22019
PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification Using Highly Randomized Synthetic Data
Zheng Tang, Milind Naphade, Stan Birchfield +5
cs.CVcs.LGeess.IVarXiv:2005.00673v12020
YOLOv4: Optimal Speed and Accuracy of Object Detection
Alexey Bochkovskiy, Chien-Yao Wang, Hong-Yuan Mark Liao
cs.CVeess.IVarXiv:2004.10934v12020
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
Automatic Detection of Coronavirus Disease (COVID-19) in X-ray and CT Images: A Machine Learning-Based Approach
Sara Hosseinzadeh Kassani, Peyman Hosseinzadeh Kassasni, Michal J. Wesolowski +2
eess.IVcs.CVarXiv:2004.10641v12020
DeepJSCC-f: Deep Joint Source-Channel Coding of Images with Feedback
David Burth Kurka, Deniz Gündüz
cs.ITcs.LGeess.IVarXiv:1911.11174v22019
BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients
Maria de la Iglesia Vayá, Jose Manuel Saborit, Joaquim Angel Montell +10
eess.IVcs.CVcs.LGarXiv:2006.01174v32020
The impact of patient clinical information on automated skin cancer detection
Andre G. C. Pacheco, Renato A. Krohling
eess.IVcs.CVcs.LGarXiv:1909.12912v12019
PointPainting: Sequential Fusion for 3D Object Detection
Sourabh Vora, Alex H. Lang, Bassam Helou +1
cs.CVcs.LGeess.IVarXiv:1911.10150v22019
Extracting possibly representative COVID-19 Biomarkers from X-Ray images with Deep Learning approach and image data related to Pulmonary Diseases
Ioannis D. Apostolopoulos, Sokratis Aznaouridis, Mpesiana Tzani
eess.IVarXiv:2004.00338v22020
A Light CNN for detecting COVID-19 from CT scans of the chest
Matteo Polsinelli, Luigi Cinque, Giuseppe Placidi
eess.IVcs.CVcs.LGarXiv:2004.12837v12020
AssemblyNet: A large ensemble of CNNs for 3D Whole Brain MRI Segmentation
Pierrick Coupé, Boris Mansencal, Michaël Clément +5
eess.IVcs.CVcs.LGarXiv:1911.09098v12019
BVI-DVC: A Training Database for Deep Video Compression
Di Ma, Fan Zhang, David R. Bull
eess.IVcs.CVarXiv:2003.13552v22020
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
COVID-CT-Dataset: A CT Scan Dataset about COVID-19
Xingyi Yang, Xuehai He, Jinyu Zhao +3
cs.LGcs.CVeess.IVarXiv:2003.13865v32020
COVID_MTNet: COVID-19 Detection with Multi-Task Deep Learning Approaches
Md Zahangir Alom, M M Shaifur Rahman, Mst Shamima Nasrin +2
eess.IVcs.CVcs.LGarXiv:2004.03747v32020
Hierarchical Regression Network for Spectral Reconstruction from RGB Images
Yuzhi Zhao, Lai-Man Po, Qiong Yan +2
eess.IVcs.CVcs.LGarXiv:2005.04703v12020
Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images
Deng-Ping Fan, Tao Zhou, Ge-Peng Ji +5
eess.IVcs.CVcs.LGarXiv:2004.14133v42020
Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in Chest X-rays
Sivaramakrishnan Rajaraman, Jen Siegelman, Philip O. Alderson +3
eess.IVcs.CVcs.LGarXiv:2004.08379v32020
Automatic Hip Fracture Identification and Functional Subclassification with Deep Learning
Justin D Krogue, Kaiyang V Cheng, Kevin M Hwang +13
q-bio.QMcs.CVcs.LGarXiv:1909.06326v12019
3D Photography using Context-aware Layered Depth Inpainting
Meng-Li Shih, Shih-Yang Su, Johannes Kopf +1
cs.CVeess.IVarXiv:2004.04727v32020
CHAOS Challenge -- Combined (CT-MR) Healthy Abdominal Organ Segmentation
A. Emre Kavur, N. Sinem Gezer, Mustafa Barış +24
eess.IVcs.CVarXiv:2001.06535v32020
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location
Osman Semih Kayhan, Jan C. van Gemert
cs.CVcs.LGeess.IVarXiv:2003.07064v22020
Robust breast cancer detection in mammography and digital breast tomosynthesis using annotation-efficient deep learning approach
William Lotter, Abdul Rahman Diab, Bryan Haslam +10
eess.IVcs.CVcs.LGarXiv:1912.11027v22019
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
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
CLOTH3D: Clothed 3D Humans
Hugo Bertiche, Meysam Madadi, Sergio Escalera
cs.CVcs.LGeess.IVarXiv:1912.02792v22019
Replacing Mobile Camera ISP with a Single Deep Learning Model
Andrey Ignatov, Luc Van Gool, Radu Timofte
cs.CVcs.GReess.IVarXiv:2002.05509v12020
GTC: Guided Training of CTC Towards Efficient and Accurate Scene Text Recognition
Wenyang Hu, Xiaocong Cai, Jun Hou +2
cs.CVcs.LGeess.IVarXiv:2002.01276v12020
Frequency Separation for Real-World Super-Resolution
Manuel Fritsche, Shuhang Gu, Radu Timofte
eess.IVcs.CVarXiv:1911.07850v12019
Learning End-to-End Lossy Image Compression: A Benchmark
Yueyu Hu, Wenhan Yang, Zhan Ma +1
eess.IVcs.CVarXiv:2002.03711v42020
TableNet: Deep Learning model for end-to-end Table detection and Tabular data extraction from Scanned Document Images
Shubham Paliwal, Vishwanath D, Rohit Rahul +2
cs.CVcs.LGeess.IVarXiv:2001.01469v12020
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation
Nima Tajbakhsh, Laura Jeyaseelan, Qian Li +3
eess.IVcs.CVcs.LGarXiv:1908.10454v22019
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
Deep Optics for Single-shot High-dynamic-range Imaging
Christopher A. Metzler, Hayato Ikoma, Yifan Peng +1
eess.IVcs.CVarXiv:1908.00620v12019
AutoGAN: Neural Architecture Search for Generative Adversarial Networks
Xinyu Gong, Shiyu Chang, Yifan Jiang +1
cs.CVcs.LGeess.IVarXiv:1908.03835v12019
SkeleMotion: A New Representation of Skeleton Joint Sequences Based on Motion Information for 3D Action Recognition
Carlos Caetano, Jessica Sena, François Brémond +2
cs.CVcs.LGeess.IVarXiv:1907.13025v12019
Diving Deeper into Underwater Image Enhancement: A Survey
Saeed Anwar, Chongyi Li
cs.CVcs.LGeess.IVarXiv:1907.07863v12019
Detecting and Simulating Artifacts in GAN Fake Images
Xu Zhang, Svebor Karaman, Shih-Fu Chang
cs.CVeess.IVarXiv:1907.06515v22019
DeepView: View Synthesis with Learned Gradient Descent
John Flynn, Michael Broxton, Paul Debevec +5
cs.CVcs.GRcs.LGarXiv:1906.07316v12019
Interactive Sketch & Fill: Multiclass Sketch-to-Image Translation
Arnab Ghosh, Richard Zhang, Puneet K. Dokania +4
cs.CVcs.LGeess.IVarXiv:1909.11081v22019
BCN20000: Dermoscopic Lesions in the Wild
Marc Combalia, Noel C. F. Codella, Veronica Rotemberg +8
eess.IVcs.CVarXiv:1908.02288v22019
An Experimental-based Review of Image Enhancement and Image Restoration Methods for Underwater Imaging
Yan Wang, Wei Song, Giancarlo Fortino +3
eess.IVcs.CVcs.MMarXiv:1907.03246v12019
The Replica Dataset: A Digital Replica of Indoor Spaces
Julian Straub, Thomas Whelan, Lingni Ma +27
cs.CVcs.GReess.IVarXiv:1906.05797v12019
One-pass Multi-task Networks with Cross-task Guided Attention for Brain Tumor Segmentation
Chenhong Zhou, Changxing Ding, Xinchao Wang +2
cs.CVcs.AIcs.LGarXiv:1906.01796v22019
Interpolated Convolutional Networks for 3D Point Cloud Understanding
Jiageng Mao, Xiaogang Wang, Hongsheng Li
cs.CVcs.CGeess.IVarXiv:1908.04512v12019
Combining Noise-to-Image and Image-to-Image GANs: Brain MR Image Augmentation for Tumor Detection
Changhee Han, Leonardo Rundo, Ryosuke Araki +5
eess.IVcs.AIcs.CVarXiv:1905.13456v32019
Comparing Energy Efficiency of CPU, GPU and FPGA Implementations for Vision Kernels
Murad Qasaimeh, Kristof Denolf, Jack Lo +3
cs.CVeess.IVarXiv:1906.11879v12019
Motion-Aware Feature for Improved Video Anomaly Detection
Yi Zhu, Shawn Newsam
cs.CVcs.LGeess.IVarXiv:1907.10211v12019
Solar Cell Surface Defect Inspection Based on Multispectral Convolutional Neural Network
Haiyong Chen, Yue Pang, Qidi Hu +1
cs.CVeess.IVarXiv:1812.06220v12018
Densely Residual Laplacian Super-Resolution
Saeed Anwar, Nick Barnes
eess.IVcs.CVarXiv:1906.12021v22019
Deep Learning for Classification of Hyperspectral Data: A Comparative Review
Nicolas Audebert, Bertrand Saux, Sébastien Lefèvre
cs.LGcs.CVcs.NEarXiv:1904.10674v12019
EnlightenGAN: Deep Light Enhancement without Paired Supervision
Yifan Jiang, Xinyu Gong, Ding Liu +6
cs.CVeess.IVarXiv:1906.06972v22019
Real-time 3D reconstruction from single-photon lidar data using plug-and-play point cloud denoisers
Julián Tachella, Yoann Altmann, Nicolas Mellado +5
eess.IVphysics.opticsarXiv:1905.06700v22019
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
Temporal phase unwrapping using deep learning
Wei Yin, Qian Chen, Shijie Feng +5
eess.IVarXiv:1903.09836v22019
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

Image and Video Processing

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

A Review on Deep Learning Techniques for Video Prediction

Improved Deep Point Cloud Geometry Compression

Single Image Deraining: From Model-Based to Data-Driven and Beyond

PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification Using Highly Randomized Synthetic Data

YOLOv4: Optimal Speed and Accuracy of Object Detection

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

Automatic Detection of Coronavirus Disease (COVID-19) in X-ray and CT Images: A Machine Learning-Based Approach

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

BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients

The impact of patient clinical information on automated skin cancer detection

PointPainting: Sequential Fusion for 3D Object Detection

Extracting possibly representative COVID-19 Biomarkers from X-Ray images with Deep Learning approach and image data related to Pulmonary Diseases

A Light CNN for detecting COVID-19 from CT scans of the chest

AssemblyNet: A large ensemble of CNNs for 3D Whole Brain MRI Segmentation

BVI-DVC: A Training Database for Deep Video Compression

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

COVID-CT-Dataset: A CT Scan Dataset about COVID-19

COVID_MTNet: COVID-19 Detection with Multi-Task Deep Learning Approaches

Hierarchical Regression Network for Spectral Reconstruction from RGB Images

Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images

Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in Chest X-rays

Automatic Hip Fracture Identification and Functional Subclassification with Deep Learning

3D Photography using Context-aware Layered Depth Inpainting

CHAOS Challenge -- Combined (CT-MR) Healthy Abdominal Organ Segmentation

On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location

Robust breast cancer detection in mammography and digital breast tomosynthesis using annotation-efficient deep learning approach

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

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

CLOTH3D: Clothed 3D Humans

Replacing Mobile Camera ISP with a Single Deep Learning Model

GTC: Guided Training of CTC Towards Efficient and Accurate Scene Text Recognition

Frequency Separation for Real-World Super-Resolution

Learning End-to-End Lossy Image Compression: A Benchmark

TableNet: Deep Learning model for end-to-end Table detection and Tabular data extraction from Scanned Document Images

Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation

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

Deep Optics for Single-shot High-dynamic-range Imaging

AutoGAN: Neural Architecture Search for Generative Adversarial Networks

SkeleMotion: A New Representation of Skeleton Joint Sequences Based on Motion Information for 3D Action Recognition

Diving Deeper into Underwater Image Enhancement: A Survey

Detecting and Simulating Artifacts in GAN Fake Images

DeepView: View Synthesis with Learned Gradient Descent

Interactive Sketch & Fill: Multiclass Sketch-to-Image Translation

BCN20000: Dermoscopic Lesions in the Wild

An Experimental-based Review of Image Enhancement and Image Restoration Methods for Underwater Imaging

The Replica Dataset: A Digital Replica of Indoor Spaces

One-pass Multi-task Networks with Cross-task Guided Attention for Brain Tumor Segmentation

Interpolated Convolutional Networks for 3D Point Cloud Understanding

Combining Noise-to-Image and Image-to-Image GANs: Brain MR Image Augmentation for Tumor Detection

Comparing Energy Efficiency of CPU, GPU and FPGA Implementations for Vision Kernels

Motion-Aware Feature for Improved Video Anomaly Detection

Solar Cell Surface Defect Inspection Based on Multispectral Convolutional Neural Network

Densely Residual Laplacian Super-Resolution

Deep Learning for Classification of Hyperspectral Data: A Comparative Review

EnlightenGAN: Deep Light Enhancement without Paired Supervision

Real-time 3D reconstruction from single-photon lidar data using plug-and-play point cloud denoisers

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

Temporal phase unwrapping using deep learning

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