Graham W. Taylor

According to our database1, Graham W. Taylor authored at least 65 papers between 2004 and 2019.

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

Timeline

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Bibliography

2019
Discovery Radiomics With CLEAR-DR: Interpretable Computer Aided Diagnosis of Diabetic Retinopathy.
IEEE Access, 2019

2018
Bayesian optimization on graph-structured search spaces: Optimizing deep multimodal fusion architectures.
Neurocomputing, 2018

Designing learned CO2-based occupancy estimation in smart buildings.
IET Wireless Sensor Systems, 2018

Stochastic Layer-Wise Precision in Deep Neural Networks.
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

BLE Beacon Based Patient Tracking in Smart Care Facilities.
Proceedings of the 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, 2018

Distributed Sensor Network for Indirect Occupancy Measurement in Smart Buildings.
Proceedings of the 14th International Wireless Communications & Mobile Computing Conference, 2018

Understanding anatomy classification through attentive response maps.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Quantitatively Evaluating GANs With Divergences Proposed for Training.
Proceedings of the 6th International Conference on Learning Representations, 2018

Attacking Binarized Neural Networks.
Proceedings of the 6th International Conference on Learning Representations, 2018

Glimpse Clouds: Human Activity Recognition From Unstructured Feature Points.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Deep Learning Object Detection Methods for Ecological Camera Trap Data.
Proceedings of the 15th Conference on Computer and Robot Vision, 2018

Convolutional Neural Networks Regularized by Correlated Noise.
Proceedings of the 15th Conference on Computer and Robot Vision, 2018

Generalized Hadamard-Product Fusion Operators for Visual Question Answering.
Proceedings of the 15th Conference on Computer and Robot Vision, 2018

Real-Time End-to-End Action Detection with Two-Stream Networks.
Proceedings of the 15th Conference on Computer and Robot Vision, 2018

Self-Paced Learning with Adaptive Deep Visual Embeddings.
Proceedings of the British Machine Vision Conference 2018, 2018

2017
Domain Adaptation Using Representation Learning for the Classification of Remote Sensing Images.
IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 2017

Deep Multimodal Learning: A Survey on Recent Advances and Trends.
IEEE Signal Process. Mag., 2017

Modeling Grasp Motor Imagery Through Deep Conditional Generative Models.
IEEE Robotics and Automation Letters, 2017

Hand pose estimation through semi-supervised and weakly-supervised learning.
Computer Vision and Image Understanding, 2017

Dataset Augmentation in Feature Space.
Proceedings of the 5th International Conference on Learning Representations, 2017

Modout: Learning Multi-Modal Architectures by Stochastic Regularization.
Proceedings of the 12th IEEE International Conference on Automatic Face & Gesture Recognition, 2017

Structure optimization for deep multimodal fusion networks using graph-induced kernels.
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

Explaining the Unexplained: A CLass-Enhanced Attentive Response (CLEAR) Approach to Understanding Deep Neural Networks.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

The Ciona17 Dataset for Semantic Segmentation of Invasive Species in a Marine Aquaculture Environment.
Proceedings of the 14th Conference on Computer and Robot Vision, 2017

2016
ModDrop: Adaptive Multi-Modal Gesture Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Automatic moth detection from trap images for pest management.
Computers and Electronics in Agriculture, 2016

Learning Human Identity From Motion Patterns.
IEEE Access, 2016

Learning a metric for class-conditional KNN.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Caffeinated FPGAs: FPGA framework For Convolutional Neural Networks.
Proceedings of the 2016 International Conference on Field-Programmable Technology, 2016

Theano-MPI: A Theano-Based Distributed Training Framework.
Proceedings of the Euro-Par 2016: Parallel Processing Workshops, 2016

2015
Semisupervised Hyperspectral Image Classification via Neighborhood Graph Learning.
IEEE Geosci. Remote Sensing Lett., 2015

Generative Class-conditional Autoencoders.
Proceedings of the 3rd International Conference on Learning Representations, 2015

Understanding Minimum Probability Flow for RBMs Under Various Kinds of Dynamics.
Proceedings of the 3rd International Conference on Learning Representations, 2015

Theano-based Large-Scale Visual Recognition with Multiple GPUs.
Proceedings of the 3rd International Conference on Learning Representations, 2015

Scoring and Classifying with Gated Auto-Encoders.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

An Empirical Investigation of Minimum Probability Flow Learning Under Different Connectivity Patterns.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Deep Learning Architectures for Soil Property Prediction.
Proceedings of the 12th Conference on Computer and Robot Vision, 2015

An Integrated System for Mapping Red Clover Ground Cover Using Unmanned Aerial Vehicles: A Case Study in Precision Agriculture.
Proceedings of the 12th Conference on Computer and Robot Vision, 2015

2014
Human body part estimation from depth images via spatially-constrained deep learning.
Pattern Recognition Letters, 2014

Learning Human Pose Estimation Features with Convolutional Networks.
Proceedings of the 2nd International Conference on Learning Representations, 2014

Multi-scale Deep Learning for Gesture Detection and Localization.
Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

Multi-task Learning of Facial Landmarks and Expression.
Proceedings of the Canadian Conference on Computer and Robot Vision, 2014

Hand Segmentation with Structured Convolutional Learning.
Proceedings of the Computer Vision - ACCV 2014, 2014

2013
A Multi-scale Approach to Gesture Detection and Recognition.
Proceedings of the 2013 IEEE International Conference on Computer Vision Workshops, 2013

2012
Analysis of the IJCNN 2011 UTL challenge.
Neural Networks, 2012

ICML2011 Unsupervised and Transfer Learning Workshop.
Proceedings of the Unsupervised and Transfer Learning, 2012

3D skeletal reconstruction from low-resolution multi-view images.
Proceedings of the 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2012

2011
Two Distributed-State Models For Generating High-Dimensional Time Series.
Journal of Machine Learning Research, 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

Unsupervised and transfer learning challenge.
Proceedings of the 2011 International Joint Conference on Neural Networks, 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

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

Body Motion Analysis for Multi-modal Identity Verification.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

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

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

Dynamical binary latent variable models for 3D human pose tracking.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
Products of Hidden Markov Models: It Takes N>1 to Tango.
Proceedings of the UAI 2009, 2009

Factored conditional restricted Boltzmann Machines for modeling motion style.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Modeling pigeon behavior using a Conditional Restricted Boltzmann Machine.
Proceedings of the ESANN 2009, 2009

2008
The Recurrent Temporal Restricted Boltzmann Machine.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Maximum a posteriori ICA: Applying prior knowledge to the separation of acoustic sources.
Proceedings of the IEEE International Conference on Acoustics, 2008

2006
Reinforced Contrast Adaptation.
Int. J. Image Graphics, 2006

Modeling Human Motion Using Binary Latent Variables.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

2004
A Reinforcement Learning Framework for Parameter Control in Computer Vision Applications.
Proceedings of the 1st Canadian Conference on Computer and Robot Vision (CRV 2004) 17-19 May 2004, 2004


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