Citation Impact
Citing Papers
An empirical study of context in object detection
2009
Photo tourism
2006 Standout
Overcoming catastrophic forgetting in neural networks
2017 StandoutNobel
Dropout: a simple way to prevent neural networks from overfitting
2014 StandoutNobel
Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations
2017 Standout
Mastering the game of Go without human knowledge
2017 StandoutNatureNobel
Learning Hierarchical Features for Scene Labeling
2012
What and where: A Bayesian inference theory of attention
2010
SIFT Flow: Dense Correspondence across Scenes and Its Applications
2010
Backpropagation and the brain
2020 StandoutNobel
Dermatologist-level classification of skin cancer with deep neural networks
2017 StandoutNature
Human-level control through deep reinforcement learning
2015 StandoutNatureNobel
CPMC: Automatic Object Segmentation Using Constrained Parametric Min-Cuts
2011
Hybrid computing using a neural network with dynamic external memory
2016 StandoutNatureNobel
A Bayesian model for efficient visual search and recognition
2010
Reinforcement Learning, Fast and Slow
2019 StandoutNobel
High-performance medicine: the convergence of human and artificial intelligence
2018 Standout
Sharing Visual Features for Multiclass and Multiview Object Detection
2007
Exploring Tiny Images: The Roles of Appearance and Contextual Information for Machine and Human Object Recognition
2011
Deep learning and process understanding for data-driven Earth system science
2019 StandoutNature
A guide to deep learning in healthcare
2018 Standout
Why is Real-World Visual Object Recognition Hard?
2008
Mastering the game of Go with deep neural networks and tree search
2016 StandoutNatureNobel
Deep learning
2015 StandoutNatureNobel
Representation Learning: A Review and New Perspectives
2013 Standout
Neuroscience-Inspired Artificial Intelligence
2017 StandoutNobel
Fully Convolutional Networks for Semantic Segmentation
2016 Standout
Semantic guidance of eye movements in real-world scenes
2011
What Learning Systems do Intelligent Agents Need? Complementary Learning Systems Theory Updated
2016 StandoutNobel
Discriminant Saliency, the Detection of Suspicious Coincidences, and Applications to Visual Recognition
2009
Measuring the Objectness of Image Windows
2012
Pedestrian Detection: An Evaluation of the State of the Art
2011 Standout
80 Million Tiny Images: A Large Data Set for Nonparametric Object and Scene Recognition
2008
Training and operation of an integrated neuromorphic network based on metal-oxide memristors
2015 StandoutNature
Prefrontal cortex as a meta-reinforcement learning system
2018 StandoutNobel
The role of context in object recognition
2007
State-of-the-Art in Visual Attention Modeling
2012 Standout
Modeling Natural Images Using Gated MRFs
2013 StandoutNobel
Deep learning in neural networks: An overview
2014 Standout
Machine learning: Trends, perspectives, and prospects
2015 StandoutScience
Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
2006 Standout
Machine learning for data-driven discovery in solid Earth geoscience
2019 StandoutScience
Segmentation as selective search for object recognition
2011
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
2021 Standout
Superparsing
2012
Focal Loss for Dense Object Detection
2018 Standout
Learning Depth from Single Monocular Images Using Deep Convolutional Neural Fields
2015
The Pascal Visual Object Classes Challenge: A Retrospective
2014 Standout
The Pascal Visual Object Classes (VOC) Challenge
2009 Standout
ImageNet Large Scale Visual Recognition Challenge
2015 Standout
Contextualizing object detection and classification
2011
Squeeze-and-Excitation Networks
2019 Standout
Local Features and Kernels for Classification of Texture and Object Categories: An In-Depth Study
2005
Recognition using regions
2009
What can machine learning do? Workforce implications
2017 StandoutScience
Contextualizing Object Detection and Classification
2014
Recognition by association via learning per-exemplar distances
2008
Toward Category-Level Object Recognition
2006
Decomposing a scene into geometric and semantically consistent regions
2009
Putting Objects in Perspective
2008
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
2017 Standout
50 Years of object recognition: Directions forward
2013
The SUN Attribute Database: Beyond Categories for Deeper Scene Understanding
2014
Visual Turing test for computer vision systems
2015
ImageNet Auto-Annotation with Segmentation Propagation
2014
ImageNet classification with deep convolutional neural networks
2017 StandoutNobel
Describing Visual Scenes Using Transformed Objects and Parts
2007
Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
2018 Standout
Beyond Categories: The Visual Memex Model for Reasoning About Object Relationships
2009
OpenSurfaces
2013
Human-level concept learning through probabilistic program induction
2015 StandoutScience
Local Features and Kernels for Classification of Texture and Object Categories: A Comprehensive Study
2006
ImageNet: A large-scale hierarchical image database
2009 Standout
Region-Based Convolutional Networks for Accurate Object Detection and Segmentation
2015 Standout
Robust Higher Order Potentials for Enforcing Label Consistency
2009
Nonparametric Scene Parsing via Label Transfer
2011
Modeling Search for People in 900 Scenes: A combined source model of eye guidance.
2009
Pedestrian detection: A benchmark
2009
Weakly Supervised Scale-Invariant Learning of Models for Visual Recognition
2006
Deep Learning for Generic Object Detection: A Survey
2019 Standout
Context based object categorization: A critical survey
2010
Combining satellite imagery and machine learning to predict poverty
2016 StandoutScience
Efficiently Scaling up Crowdsourced Video Annotation
2012
From machine learning to machine reasoning
2013
Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs
2016 Standout
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
2015 Standout
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
2016 Standout
A Stochastic Grammar of Images
2006
Semantic Understanding of Scenes Through the ADE20K Dataset
2018
Object class detection
2013
Very Deep Convolutional Networks for Large-Scale Image Recognition
2014 Standout
TextonBoost for Image Understanding: Multi-Class Object Recognition and Segmentation by Jointly Modeling Texture, Layout, and Context
2007
Works of Bryan Russell being referenced
Object Recognition by Scene Alignment
2007
Discovering objects and their location in images
2005
LabelMe: A Database and Web-Based Tool for Image Annotation
2007 Standout
LabelMe: Online Image Annotation and Applications
2010
Building a database of 3D scenes from user annotations
2009
Segmenting Scenes by Matching Image Composites
2009
Discovering object categories in image collections
2005
Using Multiple Segmentations to Discover Objects and their Extent in Image Collections
2006