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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481 to 540 of 1,302
From Synthesis to Removal: Physics-Grounded Reflection Simulation and Diffusion-Based Video Dereflection
Zepeng Wang, Jiagao Hu, Fuhao Li +3
cs.CVcs.AIeess.IVarXiv:2608.11562v12026Spatial-Angular Interaction for Light Field Image Super-Resolution
Yingqian Wang, Longguang Wang, Jungang Yang +3
eess.IVcs.CVarXiv:1912.07849v32019Artificial intelligence in digital pathology: a systematic review and meta-analysis of diagnostic test accuracy
Clare McGenity, Emily L Clarke, Charlotte Jennings +5
physics.med-phcs.AIcs.CVarXiv:2306.07999v32023TotalSegmentator: robust segmentation of 104 anatomical structures in CT images
Jakob Wasserthal, Hanns-Christian Breit, Manfred T. Meyer +9
eess.IVcs.CVarXiv:2208.05868v22022Reading Race: AI Recognises Patient's Racial Identity In Medical Images
Imon Banerjee, Ananth Reddy Bhimireddy, John L. Burns +20
cs.CVcs.CYeess.IVarXiv:2107.10356v12021CovidGAN: Data Augmentation Using Auxiliary Classifier GAN for Improved Covid-19 Detection
Abdul Waheed, Muskan Goyal, Deepak Gupta +3
eess.IVcs.CVcs.LGarXiv:2103.05094v12021Automated diagnosis of COVID-19 with limited posteroanterior chest X-ray images using fine-tuned deep neural networks
Narinder Singh Punn, Sonali Agarwal
eess.IVcs.CVcs.LGarXiv:2004.11676v52020ViPE: Video Pose Engine for 3D Geometric Perception
Jiahui Huang, Qunjie Zhou, Hesam Rabeti +12
cs.CVcs.GRcs.ROarXiv:2508.10934v12025End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection
Rui Qian, Divyansh Garg, Yan Wang +6
cs.CVeess.IVarXiv:2004.03080v22020U-Net and its variants for medical image segmentation: theory and applications
Nahian Siddique, Paheding Sidike, Colin Elkin +1
eess.IVcs.CVcs.LGarXiv:2011.01118v12020So you think you can DAS? A viewpoint on delay-and-sum beamforming
Vincent Perrot, Maxime Polichetti, François Varray +1
eess.SPeess.IVarXiv:2007.11960v32020Deep Learning Meets SAR
Xiao Xiang Zhu, Sina Montazeri, Mohsin Ali +6
eess.IVcs.LGstat.MLarXiv:2006.10027v22020General $E(2)$-Equivariant Steerable CNNs
Maurice Weiler, Gabriele Cesa
cs.CVcs.LGeess.IVarXiv:1911.08251v22019Deep Learning for Segmentation using an Open Large-Scale Dataset in 2D Echocardiography
Sarah Leclerc, Erik Smistad, João Pedrosa +11
eess.IVarXiv:1908.06948v22019LIMO: Lidar-Monocular Visual Odometry
Johannes Graeter, Alexander Wilczynski, Martin Lauer
cs.ROeess.IVarXiv:1807.07524v12018A Review of Convolutional Neural Networks for Inverse Problems in Imaging
Michael T. McCann, Kyong Hwan Jin, Michael Unser
eess.IVcs.CVarXiv:1710.04011v12017EX-FIQA: Leveraging Intermediate Early eXit Representations from Vision Transformers for Face Image Quality Assessment
Guray Ozgur, Tahar Chettaoui, Eduarda Caldeira +4
cs.CVeess.IVarXiv:2604.22842v12026Condition Errors Refinement in Autoregressive Image Generation with Diffusion Loss
Yucheng Zhou, Hao Li, Jianbing Shen
eess.IVcs.CVcs.LGarXiv:2602.07022v12026Movie Gen: A Cast of Media Foundation Models
Adam Polyak, Amit Zohar, Andrew Brown +85
cs.CVcs.AIcs.LGarXiv:2410.13720v22024A high-resolution canopy height model of the Earth
Nico Lang, Walter Jetz, Konrad Schindler +1
cs.CVcs.LGeess.IVarXiv:2204.08322v12022Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems through Stochastic Contraction
Hyungjin Chung, Byeongsu Sim, Jong Chul Ye
eess.IVcs.CVcs.LGarXiv:2112.05146v22021TransMorph: Transformer for unsupervised medical image registration
Junyu Chen, Eric C. Frey, Yufan He +3
eess.IVcs.AIcs.CVarXiv:2111.10480v62021PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parameterized Steady-State PDEs on Irregular Domain
Han Gao, Luning Sun, Jian-Xun Wang
eess.IVphysics.flu-dynarXiv:2004.13145v22020Lightweight Image Super-Resolution with Information Multi-distillation Network
Zheng Hui, Xinbo Gao, Yunchu Yang +1
eess.IVcs.CVcs.MMarXiv:1909.11856v12019Masked Face Recognition for Secure Authentication
Aqeel Anwar, Arijit Raychowdhury
cs.CVcs.LGeess.IVarXiv:2008.11104v12020Monkeypox Skin Lesion Detection Using Deep Learning Models: A Feasibility Study
Shams Nafisa Ali, Md. Tazuddin Ahmed, Joydip Paul +4
cs.CVcs.AIeess.IVarXiv:2207.03342v12022Deep-learning-enabled geometric constraints and phase unwrapping for single-shot absolute 3D shape measurement
Jiaming Qian, Shijie Feng, Tianyang Tao +4
eess.IVarXiv:2001.01439v22020Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review
Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari +12
cs.LGeess.IVarXiv:2007.10785v72020Latent Correlation Representation Learning for Brain Tumor Segmentation with Missing MRI Modalities
Tongxue Zhou, Stéphane Canu, Pierre Vera +1
eess.IVcs.CVarXiv:2104.06231v22021D-UNet: a dimension-fusion U shape network for chronic stroke lesion segmentation
Yongjin Zhou, Weijian Huang, Pei Dong +2
eess.IVcs.CVarXiv:1908.05104v12019Temporal Context Mining for Learned Video Compression
Xihua Sheng, Jiahao Li, Bin Li +3
cs.CVcs.LGeess.IVarXiv:2111.13850v22021Recent advances and clinical applications of deep learning in medical image analysis
Xuxin Chen, Ximin Wang, Ke Zhang +7
cs.CVeess.IVarXiv:2105.13381v32021Dual-Sampling Attention Network for Diagnosis of COVID-19 from Community Acquired Pneumonia
Xi Ouyang, Jiayu Huo, Liming Xia +15
cs.CVeess.IVarXiv:2005.02690v22020Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19
Feng Shi, Jun Wang, Jun Shi +6
eess.IVcs.CVq-bio.QMarXiv:2004.02731v22020Coronavirus (COVID-19) Classification using CT Images by Machine Learning Methods
Mucahid Barstugan, Umut Ozkaya, Saban Ozturk
cs.CVcs.LGeess.IVarXiv:2003.09424v12020Feature Extraction for Hyperspectral Imagery: The Evolution from Shallow to Deep (Overview and Toolbox)
Behnood Rasti, Danfeng Hong, Renlong Hang +4
cs.CVcs.LGeess.IVarXiv:2003.02822v42020Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing
Vishal Monga, Yuelong Li, Yonina C. Eldar
eess.IVcs.CVcs.LGarXiv:1912.10557v32019UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation
Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh +1
eess.IVcs.CVcs.LGarXiv:1912.05074v22019Deep Learning for Hyperspectral Image Classification: An Overview
Shutao Li, Weiwei Song, Leyuan Fang +3
eess.IVcs.CVarXiv:1910.12861v12019Modified U-Net (mU-Net) with Incorporation of Object-Dependent High Level Features for Improved Liver and Liver-Tumor Segmentation in CT Images
Hyunseok Seo, Charles Huang, Maxime Bassenne +2
eess.IVcs.CVcs.LGarXiv:1911.00140v12019Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network
Weixia Zhang, Kede Ma, Jia Yan +2
eess.IVcs.CVcs.MMarXiv:1907.02665v12019Stochastic Super-Resolution for Downscaling Time-Evolving Atmospheric Fields with a Generative Adversarial Network
Jussi Leinonen, Daniele Nerini, Alexis Berne
eess.IVcs.LGphysics.ao-pharXiv:2005.10374v42020CT Super-resolution GAN Constrained by the Identical, Residual, and Cycle Learning Ensemble(GAN-CIRCLE)
Chenyu You, Guang Li, Yi Zhang +9
eess.IVcs.CVcs.LGarXiv:1808.04256v32018Deep learning-based synthetic-CT generation in radiotherapy and PET: a review
Maria Francesca Spadea, Matteo Maspero, Paolo Zaffino +1
physics.med-phcs.LGeess.IVarXiv:2102.02734v22021Time-Dependent Deep Image Prior for Dynamic MRI
Jaejun Yoo, Kyong Hwan Jin, Harshit Gupta +3
eess.IVcs.CVcs.LGarXiv:1910.01684v22019Summaries:한국어Face Mask Detection using Transfer Learning of InceptionV3
G. Jignesh Chowdary, Narinder Singh Punn, Sanjay Kumar Sonbhadra +1
cs.CVeess.IVarXiv:2009.08369v22020SkeleMotion: 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:1907.13025v12019Arbitrary Video Style Transfer via Multi-Channel Correlation
Yingying Deng, Fan Tang, Weiming Dong +3
cs.CVeess.IVarXiv:2009.08003v22020Designing and Training of A Dual CNN for Image Denoising
Chunwei Tian, Yong Xu, Wangmeng Zuo +3
eess.IVcs.CVarXiv:2007.03951v12020Combining 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:1905.13456v32019Federated Learning for Breast Density Classification: A Real-World Implementation
Holger R. Roth, Ken Chang, Praveer Singh +40
eess.IVcs.CVarXiv:2009.01871v32020DenseRaC: Joint 3D Pose and Shape Estimation by Dense Render-and-Compare
Yuanlu Xu, Song-Chun Zhu, Tony Tung
cs.CVcs.LGeess.IVarXiv:1910.00116v22019Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification with Chest CT
Liang Sun, Zhanhao Mo, Fuhua Yan +14
eess.IVcs.CVcs.LGarXiv:2005.03264v12020Large-Scale Screening of COVID-19 from Community Acquired Pneumonia using Infection Size-Aware Classification
Feng Shi, Liming Xia, Fei Shan +7
eess.IVcs.CVcs.LGarXiv:2003.09860v12020Meta-rPPG: Remote Heart Rate Estimation Using a Transductive Meta-Learner
Eugene Lee, Evan Chen, Chen-Yi Lee
cs.CVeess.IVarXiv:2007.06786v12020Machine-Learning-Based Diagnostics of EEG Pathology
Lukas Alexander Wilhelm Gemein, Robin Tibor Schirrmeister, Patryk Chrabąszcz +5
eess.IVcs.LGeess.SParXiv:2002.05115v12020MADGAN: unsupervised Medical Anomaly Detection GAN using multiple adjacent brain MRI slice reconstruction
Changhee Han, Leonardo Rundo, Kohei Murao +7
cs.CVcs.LGeess.IVarXiv:2007.13559v22020Deep Learning on Chest X-ray Images to Detect and Evaluate Pneumonia Cases at the Era of COVID-19
Karim Hammoudi, Halim Benhabiles, Mahmoud Melkemi +4
eess.IVcs.CVcs.LGarXiv:2004.03399v12020TableNet: 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:2001.01469v12020HookNet: multi-resolution convolutional neural networks for semantic segmentation in histopathology whole-slide images
Mart van Rijthoven, Maschenka Balkenhol, Karina Siliņa +2
eess.IVcs.CVcs.LGarXiv:2006.12230v12020