Citation Impact
Citing Papers
Learning Convolutional Feature Hierarchies for Visual Recognition
2010
Dropout: a simple way to prevent neural networks from overfitting
2014 StandoutNobel
Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion
2010 Standout
Rectified Linear Units Improve Restricted Boltzmann Machines
2010 StandoutNobel
Kernel Methods for Deep Learning
2009
Inductive Principles for Restricted Boltzmann Machine Learning
2010
Noise-contrastive estimation: A new estimation principle for unnormalized statistical models
2010
Building high-level features using large scale unsupervised learning
2012
Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation
2016 Standout
Solving Inverse Problems With Piecewise Linear Estimators: From Gaussian Mixture Models to Structured Sparsity
2011
No-Reference Image Quality Assessment in the Spatial Domain
2012 Standout
Blind Image Quality Assessment: From Natural Scene Statistics to Perceptual Quality
2011 Standout
Information Content Weighting for Perceptual Image Quality Assessment
2010 Standout
Human-level control through deep reinforcement learning
2015 StandoutNatureNobel
Divisive normalization image quality metric revisited
2010
A survey on deep learning in medical image analysis
2017 Standout
Brain tumor segmentation with Deep Neural Networks
2016 Standout
Representation learning for mammography mass lesion classification with convolutional neural networks
2016
Man vs. computer: Benchmarking machine learning algorithms for traffic sign recognition
2012 Standout
On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation
2015 Standout
Deep learning
2015 StandoutNatureNobel
Representation Learning: A Review and New Perspectives
2013 Standout
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
2021 Standout
Modeling Natural Images Using Gated MRFs
2013 StandoutNobel
Deep learning in neural networks: An overview
2014 Standout
Deep residual learning for image steganalysis
2017
Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review
2017 Standout
Detecting Recompression of JPEG Images via Periodicity Analysis of Compression Artifacts for Tampering Detection
2011
Eyeriss: An Energy-Efficient Reconfigurable Accelerator for Deep Convolutional Neural Networks
2016 Standout
Blind Image Quality Assessment: A Natural Scene Statistics Approach in the DCT Domain
2012 Standout
Image forgery detection
2009
What is the best multi-stage architecture for object recognition?
2009
Feature selection for steganalysis using the Mahalanobis distance
2010
Quantifying the Dynamics of Protein Self-Organization Using Deep Learning Analysis of Atomic Force Microscopy Data
2020 StandoutNobel
Forgery Authentication in Extreme Wide-Angle Lens Using Distortion Cue and Fake Saliency Map
2012
Generative Adversarial Networks: An Overview
2018 Standout
Image retrieval
2008 Standout
The MNIST Database of Handwritten Digit Images for Machine Learning Research [Best of the Web]
2012 Standout
Exposing Postprocessed Copy–Paste Forgeries Through Transform-Invariant Features
2012
Intrinsic Sensor Noise Features for Forensic Analysis on Scanners and Scanned Images
2009
Accurate Detection of Demosaicing Regularity for Digital Image Forensics
2009
Physics-motivated features for distinguishing photographic images and computer graphics
2005
Information Forensics: An Overview of the First Decade
2013 Standout
The Source Identification Game: An Information-Theoretic Perspective
2013
Global Contrast Based Salient Region Detection
2014 Standout
Energy-Efficient Offloading for Mobile Edge Computing in 5G Heterogeneous Networks
2016 Standout
3D Mesh Labeling via Deep Convolutional Neural Networks
2015
Deep multi-view learning methods: A review
2021
Deep learning for AI
2021 StandoutNobel
Reduced-Reference Image Quality Assessment Using Divisive Normalization-Based Image Representation
2009
ImageNet classification with deep convolutional neural networks
2017 StandoutNobel
Performance study of common image steganography and steganalysis techniques
2006
A Survey on Metaverse: Fundamentals, Security, and Privacy
2022 Standout
Can AI Help in Screening Viral and COVID-19 Pneumonia?
2020 Standout
Copy-move forgery detection and localization by means of robust clustering with J-Linkage
2013
Image Visual Realism: From Human Perception to Machine Computation
2017
Geometric Deep Learning: Going beyond Euclidean data
2017 Standout
Recent advances in deep learning for object detection
2020
Convolutional networks and applications in vision
2010
Data-intensive applications, challenges, techniques and technologies: A survey on Big Data
2014 Standout
Segmentation-Based Image Copy-Move Forgery Detection Scheme
2014 Standout
GAN（Generative Adversarial Nets）
2017 Standout
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning
2018 Standout
A survey of deep neural network architectures and their applications
2016 Standout
Comprehensive Review of Artificial Neural Network Applications to Pattern Recognition
2019 Standout
Nonintrusive component forensics of visual sensors using output images
2007
Image processing for artist identification
2008
Deep learning and its applications to machine health monitoring
2018 Standout
Merging Markov and DCT features for multi-class JPEG steganalysis
2007
A SIFT-Based Forensic Method for Copy–Move Attack Detection and Transformation Recovery
2011
Object Detection With Deep Learning: A Review
2019 Standout
Visualizing non-metric similarities in multiple maps
2011 StandoutNobel
Data-Hiding Codes
2005
Data clustering: 50 years beyond K-means
2009 Standout
A survey on feature selection methods
2013 Standout
Forensic techniques for classifying scanner, computer generated and digital camera images
2008
Image manipulation detection
2006
Rotation Invariant Localization of Duplicated Image Regions Based on Zernike Moments
2013
Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images
2016 Standout
Digital image steganography: Survey and analysis of current methods
2009 Standout
A review on the attention mechanism of deep learning
2021 Standout
Deep learning with convolutional neural networks for EEG decoding and visualization
2017 Standout
Target Classification Using the Deep Convolutional Networks for SAR Images
2016 Standout
A Connection Between Score Matching and Denoising Autoencoders
2011
Image authentication by detecting traces of demosaicing
2008
Influence of embedding strategies on security of steganographic methods in the JPEG domain
2008
Digital image forensics via intrinsic fingerprints
2008
Inductive principles for learning Restricted Boltzmann Machines
2010
Psychophysically Tuned Divisive Normalization Approximately Factorizes the PDF of Natural Images
2010
Why Are There Still So Many Jobs? The History and Future of Workplace Automation
2015 Standout
Texton-based analysis of paintings
2010
Works of Siwei Lyu being referenced
How realistic is photorealistic
2005
Deep feature learning using target priors with applications in ECoG signal decoding for BCI
2013
Modeling Multiscale Subbands of Photographic Images with Fields of Gaussian Scale Mixtures
2009
Nonlinear image representation using divisive normalization
2008
Deep low-rank subspace ensemble for multi-view clustering
2019
Steganalysis Using Higher-Order Image Statistics
2006
Statistically and perceptually motivated nonlinear image representation
2007
Nonlinear Extraction of Independent Components of Natural Images Using Radial Gaussianization
2009
Dependency Reduction with Divisive Normalization: Justification and Effectiveness
2011
A digital technique for art authentication
2004
Region Duplication Detection Using Image Feature Matching
2010
How realistic is photorealistic?
2005
Single-Shot Scale-Aware Network for Real-Time Face Detection
2019
Interpretation and Generalization of Score Matching
2012
Steganalysis using color wavelet statistics and one-class support vector machines
2004