Rob Fergus

According to our database1, Rob Fergus authored at least 94 papers between 2003 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Homepages:

On csauthors.net:

Bibliography

2018
IntPhys: A Framework and Benchmark for Visual Intuitive Physics Reasoning.
CoRR, 2018

Composable Planning with Attributes.
CoRR, 2018

Modeling Others using Oneself in Multi-Agent Reinforcement Learning.
CoRR, 2018

Stochastic Video Generation with a Learned Prior.
CoRR, 2018

Composable Planning with Attributes.
Proceedings of the 35th International Conference on Machine Learning, 2018

Modeling Others using Oneself in Multi-Agent Reinforcement Learning.
Proceedings of the 35th International Conference on Machine Learning, 2018

Stochastic Video Generation with a Learned Prior.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
Learning by Asking Questions.
CoRR, 2017

Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play.
CoRR, 2017

2016
Learning Multiagent Communication with Backpropagation.
CoRR, 2016

Learning Physical Intuition of Block Towers by Example.
CoRR, 2016

Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks.
CoRR, 2016

Learning Multiagent Communication with Backpropagation.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Learning Simple Algorithms from Examples.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Learning Physical Intuition of Block Towers by Example.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Deep End2End Voxel2Voxel Prediction.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

2015
Simple Baseline for Visual Question Answering.
CoRR, 2015

Beyond Frontal Faces: Improving Person Recognition Using Multiple Cues.
CoRR, 2015

Learning Simple Algorithms from Examples.
CoRR, 2015

Deep End2End Voxel2Voxel Prediction.
CoRR, 2015

Improving Image Classification with Location Context.
CoRR, 2015

Weakly Supervised Memory Networks.
CoRR, 2015

MazeBase: A Sandbox for Learning from Games.
CoRR, 2015

Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks.
CoRR, 2015

End-To-End Memory Networks.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

User Conditional Hashtag Prediction for Images.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Learning Spatiotemporal Features with 3D Convolutional Networks.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Improving Image Classification with Location Context.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-scale Convolutional Architecture.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Beyond frontal faces: Improving Person Recognition using multiple cues.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

End-to-end integration of a Convolutional Network, Deformable Parts Model and non-maximum suppression.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Web scale photo hash clustering on a single machine.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Deep Neural Networks Predict Category Typicality Ratings for Images.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

2014
Learning to Discover Efficient Mathematical Identities.
CoRR, 2014

End-to-End Integration of a Convolutional Network, Deformable Parts Model and Non-Maximum Suppression.
CoRR, 2014

C3D: Generic Features for Video Analysis.
CoRR, 2014

Learning from Noisy Labels with Deep Neural Networks.
CoRR, 2014

Depth Map Prediction from a Single Image using a Multi-Scale Deep Network.
CoRR, 2014

Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture.
CoRR, 2014

Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation.
CoRR, 2014

Deep Poselets for Human Detection.
CoRR, 2014

Learning to Discover Efficient Mathematical Identities.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Depth Map Prediction from a Single Image using a Multi-Scale Deep Network.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Visualizing and Understanding Convolutional Networks.
Proceedings of the Computer Vision - ECCV 2014, 2014

Instance Segmentation of Indoor Scenes Using a Coverage Loss.
Proceedings of the Computer Vision - ECCV 2014, 2014

2013
Learning Binary Hash Codes for Large-Scale Image Search.
Proceedings of the Machine Learning for Computer Vision, 2013

Stochastic Pooling for Regularization of Deep Convolutional Neural Networks
CoRR, 2013

Visualizing and Understanding Convolutional Networks.
CoRR, 2013

Intriguing properties of neural networks.
CoRR, 2013

OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks.
CoRR, 2013

Blind Deconvolution with Re-weighted Sparsity Promotion.
CoRR, 2013

Understanding Deep Architectures using a Recursive Convolutional Network.
CoRR, 2013

Regularization of Neural Networks using DropConnect.
Proceedings of the 30th International Conference on Machine Learning, 2013

Restoring an Image Taken through a Window Covered with Dirt or Rain.
Proceedings of the IEEE International Conference on Computer Vision, 2013

2012
A Hybrid Neural Network-Latent Topic Model.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Differentiable Pooling for Hierarchical Feature Learning
CoRR, 2012

Multidimensional Spectral Hashing.
Proceedings of the Computer Vision - ECCV 2012, 2012

Indoor Segmentation and Support Inference from RGBD Images.
Proceedings of the Computer Vision - ECCV 2012, 2012

Nonparametric image parsing using adaptive neighbor sets.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
Facial Expression Transfer with Input-Output Temporal Restricted Boltzmann Machines.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Indoor scene segmentation using a structured light sensor.
Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

Adaptive deconvolutional networks for mid and high level feature learning.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Learning invariance through imitation.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Blind deconvolution using a normalized sparsity measure.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010
Learning Object Categories From Internet Image Searches.
Proceedings of the IEEE, 2010

Pose-Sensitive Embedding by Nonlinear NCA Regression.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Convolutional Learning of Spatio-temporal Features.
Proceedings of the Computer Vision - ECCV 2010, 2010

Semantic Label Sharing for Learning with Many Categories.
Proceedings of the Computer Vision, 2010

Deconvolutional networks.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Case for Automated Detection of Diabetic Retinopathy.
Proceedings of the Artificial Intelligence for Development, 2010

2009
Dark flash photography.
ACM Trans. Graph., 2009

Fast Image Deconvolution using Hyper-Laplacian Priors.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Semi-Supervised Learning in Gigantic Image Collections.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Learning invariant features through topographic filter maps.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008
80 Million Tiny Images: A Large Data Set for Nonparametric Object and Scene Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., 2008

Spectral Hashing.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Small codes and large image databases for recognition.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007
Image and depth from a conventional camera with a coded aperture.
ACM Trans. Graph., 2007

Weakly Supervised Scale-Invariant Learning of Models for Visual Recognition.
International Journal of Computer Vision, 2007

Learning generative visual models from few training examples: An incremental Bayesian approach tested on 101 object categories.
Computer Vision and Image Understanding, 2007

Object Recognition by Scene Alignment.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

2006
Removing camera shake from a single photograph.
ACM Trans. Graph., 2006

One-Shot Learning of Object Categories.
IEEE Trans. Pattern Anal. Mach. Intell., 2006

A Sparse Object Category Model for Efficient Learning and Complete Recognition.
Proceedings of the Toward Category-Level Object Recognition, 2006

2005
Visual object category recognition.
PhD thesis, 2005

Learning Object Categories from Google's Image Search.
Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV 2005), 2005

A Sparse Object Category Model for Efficient Learning and Exhaustive Recognition.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

2004
Sampling Methods for Unsupervised Learning.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

A Visual Category Filter for Google Images.
Proceedings of the Computer Vision, 2004

Learning Generative Visual Models from Few Training Examples: An Incremental Bayesian Approach Tested on 101 Object Categories.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2004

2003
A Bayesian Approach to Unsupervised One-Shot Learning of Object Categories.
Proceedings of the 9th IEEE International Conference on Computer Vision (ICCV 2003), 2003

Object Class Recognition by Unsupervised Scale-Invariant Learning.
Proceedings of the 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2003), 2003


  Loading...