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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721 to 780 of 1,302

Video Compression With Rate-Distortion Autoencoders
Amirhossein Habibian, Ties van Rozendaal, Jakub M. Tomczak +1
eess.IVcs.LGstat.MLarXiv:1908.05717v22019
DeepRED: Deep Image Prior Powered by RED
Gary Mataev, Michael Elad, Peyman Milanfar
cs.CVeess.IVarXiv:1903.10176v32019
The Topology ToolKit
Julien Tierny, Guillaume Favelier, Joshua A. Levine +2
cs.GRcs.CGcs.CVarXiv:1805.09110v22018
Interpolated Convolutional Networks for 3D Point Cloud Understanding
Jiageng Mao, Xiaogang Wang, Hongsheng Li
cs.CVcs.CGeess.IVarXiv:1908.04512v12019
Bi-Temporal Semantic Reasoning for the Semantic Change Detection in HR Remote Sensing Images
Lei Ding, Haitao Guo, Sicong Liu +3
cs.CVeess.IVarXiv:2108.06103v42021
Deep Learning Enables Automatic Detection and Segmentation of Brain Metastases on Multi-Sequence MRI
Endre Grøvik, Darvin Yi, Michael Iv +3
eess.IVcs.LGstat.MLarXiv:1903.07988v12019
Deep Equilibrium Architectures for Inverse Problems in Imaging
Davis Gilton, Gregory Ongie, Rebecca Willett
eess.IVcs.CVarXiv:2102.07944v22021
Neural Image Compression for Gigapixel Histopathology Image Analysis
David Tellez, Geert Litjens, Jeroen van der Laak +1
cs.CVeess.IVarXiv:1811.02840v22018
Image Generation from Layout
Bo Zhao, Lili Meng, Weidong Yin +1
cs.CVeess.IVarXiv:1811.11389v32018
MedKLIP: Medical Knowledge Enhanced Language-Image Pre-Training in Radiology
Chaoyi Wu, Xiaoman Zhang, Ya Zhang +2
eess.IVcs.CLcs.CVarXiv:2301.02228v32023
Automatic heterogeneous quantization of deep neural networks for low-latency inference on the edge for particle detectors
Claudionor N. Coelho, Aki Kuusela, Shan Li +7
physics.ins-detcs.LGeess.IVarXiv:2006.10159v32020
StreamingT2V: Consistent, Dynamic, and Extendable Long Video Generation from Text
Roberto Henschel, Levon Khachatryan, Hayk Poghosyan +5
cs.CVcs.AIcs.CLarXiv:2403.14773v22024
A complete data processing workflow for CryoET and subtomogram averaging
Muyuan Chen, James M. Bell, Xiaodong Shi +3
q-bio.QMeess.IVarXiv:1902.03978v12019
Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge
Florian Knoll, Tullie Murrell, Anuroop Sriram +8
eess.IVcs.CVarXiv:2001.02518v12020
Automated Methods for Detection and Classification Pneumonia based on X-Ray Images Using Deep Learning
Khalid El Asnaoui, Youness Chawki, Ali Idri
eess.IVcs.CVarXiv:2003.14363v12020
HDNet: High-resolution Dual-domain Learning for Spectral Compressive Imaging
Xiaowan Hu, Yuanhao Cai, Jing Lin +5
eess.IVcs.CVarXiv:2203.02149v22022
AGIQA-3K: An Open Database for AI-Generated Image Quality Assessment
Chunyi Li, Zicheng Zhang, Haoning Wu +5
cs.CVcs.AIeess.IVarXiv:2306.04717v22023
LEDNet: Joint Low-light Enhancement and Deblurring in the Dark
Shangchen Zhou, Chongyi Li, Chen Change Loy
eess.IVcs.CVarXiv:2202.03373v22022
Federated Learning for Computational Pathology on Gigapixel Whole Slide Images
Ming Y. Lu, Dehan Kong, Jana Lipkova +5
eess.IVcs.CVcs.LGarXiv:2009.10190v22020
MedMamba: Vision Mamba for Medical Image Classification
Yubiao Yue, Zhenzhang Li
eess.IVcs.CVcs.LGarXiv:2403.03849v52024
A Comparative Study of Fingerprint Image-Quality Estimation Methods
Fernando Alonso-Fernandez, Julian Fierrez, Javier Ortega-Garcia +4
cs.CVeess.IVarXiv:2111.07432v12021
Learning for Video Compression with Hierarchical Quality and Recurrent Enhancement
Ren Yang, Fabian Mentzer, Luc Van Gool +1
eess.IVcs.CVarXiv:2003.01966v72020
Localizing Visual Sounds the Hard Way
Honglie Chen, Weidi Xie, Triantafyllos Afouras +3
cs.CVeess.ASeess.IVarXiv:2104.02691v12021
SGUIE-Net: Semantic Attention Guided Underwater Image Enhancement with Multi-Scale Perception
Qi Qi, Kunqian Li, Haiyong Zheng +3
eess.IVcs.CVarXiv:2201.02832v12022
Non-line-of-sight Imaging
D. Faccio, A. Velten, G. Wetzstein
physics.opticseess.IVarXiv:2005.08026v12020
DC-UNet: Rethinking the U-Net Architecture with Dual Channel Efficient CNN for Medical Images Segmentation
Ange Lou, Shuyue Guan, Murray Loew
eess.IVcs.CVarXiv:2006.00414v12020
Explainable Medical Imaging AI Needs Human-Centered Design: Guidelines and Evidence from a Systematic Review
Haomin Chen, Catalina Gomez, Chien-Ming Huang +1
cs.HCcs.CVcs.LGarXiv:2112.12596v42021
Practical Blind Image Denoising via Swin-Conv-UNet and Data Synthesis
Kai Zhang, Yawei Li, Jingyun Liang +6
cs.CVcs.GReess.IVarXiv:2203.13278v42022
Practical Full Resolution Learned Lossless Image Compression
Fabian Mentzer, Eirikur Agustsson, Michael Tschannen +2
eess.IVcs.CVcs.LGarXiv:1811.12817v32018
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
Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis
Benjamin Lambert, Florence Forbes, Alan Tucholka +3
eess.IVcs.AIcs.CVarXiv:2210.03736v12022
Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation
Zhonghao Wang, Mo Yu, Yunchao Wei +5
cs.CVcs.LGeess.IVarXiv:2003.08040v32020
BRACS: A Dataset for BReAst Carcinoma Subtyping in H&E Histology Images
Nadia Brancati, Anna Maria Anniciello, Pushpak Pati +10
q-bio.QMcs.AIcs.CVarXiv:2111.04740v12021
Towards Data-Efficient Learning: A Benchmark for COVID-19 CT Lung and Infection Segmentation
Jun Ma, Yixin Wang, Xingle An +10
eess.IVcs.CVcs.LGarXiv:2004.12537v22020
Deep 1D-Convnet for accurate Parkinson disease detection and severity prediction from gait
Imanne El Maachi, Guillaume-Alexandre Bilodeau, Wassim Bouachir
cs.LGcs.CVeess.IVarXiv:1910.11509v42019
GNN3DMOT: Graph Neural Network for 3D Multi-Object Tracking with Multi-Feature Learning
Xinshuo Weng, Yongxin Wang, Yunze Man +1
cs.CVcs.LGeess.IVarXiv:2006.07327v12020
EDiffSR: An Efficient Diffusion Probabilistic Model for Remote Sensing Image Super-Resolution
Yi Xiao, Qiangqiang Yuan, Kui Jiang +3
eess.IVcs.CVarXiv:2310.19288v12023
OmniMedVQA: A New Large-Scale Comprehensive Evaluation Benchmark for Medical LVLM
Yutao Hu, Tianbin Li, Quanfeng Lu +4
eess.IVcs.CVarXiv:2402.09181v22024
Deep Learning for Neuroimaging-based Diagnosis and Rehabilitation of Autism Spectrum Disorder: A Review
Marjane Khodatars, Afshin Shoeibi, Delaram Sadeghi +12
cs.LGeess.IVstat.MLarXiv:2007.01285v42020
Transformer for Image Quality Assessment
Junyong You, Jari Korhonen
cs.CVcs.LGeess.IVarXiv:2101.01097v22020
Target detection in synthetic aperture radar imagery: a state-of-the-art survey
Khalid El-Darymli, Peter McGuire, Desmond Power +1
eess.IVarXiv:1804.04719v12018
Enhanced Invertible Encoding for Learned Image Compression
Yueqi Xie, Ka Leong Cheng, Qifeng Chen
eess.IVcs.CVarXiv:2108.03690v12021
Bringing Old Photos Back to Life
Ziyu Wan, Bo Zhang, Dongdong Chen +4
cs.CVcs.GReess.IVarXiv:2004.09484v12020
Graph Spectral Image Processing
Gene Cheung, Enrico Magli, Yuichi Tanaka +1
eess.IVeess.SParXiv:1801.04749v22018
DU-GAN: Generative Adversarial Networks with Dual-Domain U-Net Based Discriminators for Low-Dose CT Denoising
Zhizhong Huang, Junping Zhang, Yi Zhang +1
eess.IVcs.CVphysics.med-pharXiv:2108.10772v22021
S2Looking: A Satellite Side-Looking Dataset for Building Change Detection
Li Shen, Yao Lu, Hao Chen +6
cs.CVcs.AIeess.IVarXiv:2107.09244v32021
DO-Conv: Depthwise Over-parameterized Convolutional Layer
Jinming Cao, Yangyan Li, Mingchao Sun +5
cs.CVeess.IVarXiv:2006.12030v12020
An Explainable Machine Learning Model for Early Detection of Parkinson's Disease using LIME on DaTscan Imagery
Pavan Rajkumar Magesh, Richard Delwin Myloth, Rijo Jackson Tom
cs.CVcs.LGeess.IVarXiv:2008.00238v12020
SNIPS: Solving Noisy Inverse Problems Stochastically
Bahjat Kawar, Gregory Vaksman, Michael Elad
eess.IVcs.CVarXiv:2105.14951v22021
Monkeypox virus detection using pre-trained deep learning-based approaches
Chiranjibi Sitaula, Tej Bahadur Shahi
eess.IVcs.CVcs.LGarXiv:2209.04444v22022
Image Quality Assessment using Contrastive Learning
Pavan C. Madhusudana, Neil Birkbeck, Yilin Wang +2
cs.CVcs.MMeess.IVarXiv:2110.13266v12021
Lossy Image Compression with Conditional Diffusion Models
Ruihan Yang, Stephan Mandt
eess.IVcs.CVcs.LGarXiv:2209.06950v82022
Is Someone Speaking? Exploring Long-term Temporal Features for Audio-visual Active Speaker Detection
Ruijie Tao, Zexu Pan, Rohan Kumar Das +3
eess.AScs.SDeess.IVarXiv:2107.06592v22021
ArtFlow: Unbiased Image Style Transfer via Reversible Neural Flows
Jie An, Siyu Huang, Yibing Song +3
cs.CVeess.IVarXiv:2103.16877v22021
Dual Adversarial Network: Toward Real-world Noise Removal and Noise Generation
Zongsheng Yue, Qian Zhao, Lei Zhang +1
cs.CVeess.IVarXiv:2007.05946v12020
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
Deep learning-based survival prediction for multiple cancer types using histopathology images
Ellery Wulczyn, David F. Steiner, Zhaoyang Xu +7
q-bio.QMcs.LGeess.IVarXiv:1912.07354v12019
Multiscale Point Cloud Geometry Compression
Jianqiang Wang, Dandan Ding, Zhu Li +1
eess.IVcs.CVarXiv:2011.03799v12020
Learned Video Compression
Oren Rippel, Sanjay Nair, Carissa Lew +3
eess.IVcs.CVcs.LGarXiv:1811.06981v12018
Video Inpainting of Complex Scenes
Alasdair Newson, Andrés Almansa, Matthieu Fradet +2
cs.CVcs.MMeess.IVarXiv:1503.05528v22015

Image and Video Processing

Video Compression With Rate-Distortion Autoencoders

DeepRED: Deep Image Prior Powered by RED

The Topology ToolKit

Interpolated Convolutional Networks for 3D Point Cloud Understanding

Bi-Temporal Semantic Reasoning for the Semantic Change Detection in HR Remote Sensing Images

Deep Learning Enables Automatic Detection and Segmentation of Brain Metastases on Multi-Sequence MRI

Deep Equilibrium Architectures for Inverse Problems in Imaging

Neural Image Compression for Gigapixel Histopathology Image Analysis

Image Generation from Layout

MedKLIP: Medical Knowledge Enhanced Language-Image Pre-Training in Radiology

Automatic heterogeneous quantization of deep neural networks for low-latency inference on the edge for particle detectors

StreamingT2V: Consistent, Dynamic, and Extendable Long Video Generation from Text

A complete data processing workflow for CryoET and subtomogram averaging

Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge

Automated Methods for Detection and Classification Pneumonia based on X-Ray Images Using Deep Learning

HDNet: High-resolution Dual-domain Learning for Spectral Compressive Imaging

AGIQA-3K: An Open Database for AI-Generated Image Quality Assessment

LEDNet: Joint Low-light Enhancement and Deblurring in the Dark

Federated Learning for Computational Pathology on Gigapixel Whole Slide Images

MedMamba: Vision Mamba for Medical Image Classification

A Comparative Study of Fingerprint Image-Quality Estimation Methods

Learning for Video Compression with Hierarchical Quality and Recurrent Enhancement

Localizing Visual Sounds the Hard Way

SGUIE-Net: Semantic Attention Guided Underwater Image Enhancement with Multi-Scale Perception

Non-line-of-sight Imaging

DC-UNet: Rethinking the U-Net Architecture with Dual Channel Efficient CNN for Medical Images Segmentation

Explainable Medical Imaging AI Needs Human-Centered Design: Guidelines and Evidence from a Systematic Review

Practical Blind Image Denoising via Swin-Conv-UNet and Data Synthesis

Practical Full Resolution Learned Lossless Image Compression

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

Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis

Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation

BRACS: A Dataset for BReAst Carcinoma Subtyping in H&E Histology Images

Towards Data-Efficient Learning: A Benchmark for COVID-19 CT Lung and Infection Segmentation

Deep 1D-Convnet for accurate Parkinson disease detection and severity prediction from gait

GNN3DMOT: Graph Neural Network for 3D Multi-Object Tracking with Multi-Feature Learning

EDiffSR: An Efficient Diffusion Probabilistic Model for Remote Sensing Image Super-Resolution

OmniMedVQA: A New Large-Scale Comprehensive Evaluation Benchmark for Medical LVLM

Deep Learning for Neuroimaging-based Diagnosis and Rehabilitation of Autism Spectrum Disorder: A Review

Transformer for Image Quality Assessment

Target detection in synthetic aperture radar imagery: a state-of-the-art survey

Enhanced Invertible Encoding for Learned Image Compression

Bringing Old Photos Back to Life

Graph Spectral Image Processing

DU-GAN: Generative Adversarial Networks with Dual-Domain U-Net Based Discriminators for Low-Dose CT Denoising

S2Looking: A Satellite Side-Looking Dataset for Building Change Detection

DO-Conv: Depthwise Over-parameterized Convolutional Layer

An Explainable Machine Learning Model for Early Detection of Parkinson's Disease using LIME on DaTscan Imagery

SNIPS: Solving Noisy Inverse Problems Stochastically

Monkeypox virus detection using pre-trained deep learning-based approaches

Image Quality Assessment using Contrastive Learning

Lossy Image Compression with Conditional Diffusion Models

Is Someone Speaking? Exploring Long-term Temporal Features for Audio-visual Active Speaker Detection

ArtFlow: Unbiased Image Style Transfer via Reversible Neural Flows

Dual Adversarial Network: Toward Real-world Noise Removal and Noise Generation

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

Deep learning-based survival prediction for multiple cancer types using histopathology images

Multiscale Point Cloud Geometry Compression

Learned Video Compression

Video Inpainting of Complex Scenes