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Graham W. Taylor

Graham W. Taylor

D-Index & Metrics

Computer Science

D-Index
48
Citations
19225
World Ranking
6011
National Ranking
231

Overview

Graham W. Taylor is affiliated with the University of Guelph in Canada and specializes primarily in computer science. Their research encompasses a significant focus on artificial intelligence, with substantial contributions in related subfields including artificial intelligence, computer vision and pattern recognition, ecological modeling, ecology, and molecular biology.

The scientist's work covers diverse topics such as species distribution and climate change, domain adaptation and few-shot learning, generative adversarial networks and image synthesis, multimodal machine learning applications, AI in cancer detection, advanced image and video retrieval techniques, and adversarial robustness in machine learning.

Key recent publications by Graham W. Taylor include:

  • "Federated learning and differential privacy for medical image analysis," 2022, published in Scientific Reports
  • "Three critical factors affecting automated image species recognition performance for camera traps," 2020, published in Ecology and Evolution
  • "Artificial cognition: How experimental psychology can help generate explainable artificial intelligence," 2020, published in Psychonomic Bulletin & Review
  • "Context-aware Scene Graph Generation with Seq2Seq Transformers," 2021, published in the 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "Federated Learning and Differential Privacy for Medical Image Analysis," 2021, published in Research Square (Research Square)

Graham W. Taylor frequently collaborates with several coauthors, including Joakim Bruslund Haurum, Scott Lowe, Iuliia Zarubiieva, Anne Lynn S. Chang, and B. A. Knyazev.

Notable publication venues where this scientist has contributed include arXiv (Cornell University) with 38 publications, Zenodo (CERN European Organization for Nuclear Research) with 6 publications, the 2021 IEEE/CVF International Conference on Computer Vision (ICCV) with 3 publications, Methods in Ecology and Evolution with 2 publications, and PLoS ONE with 2 publications.

Best Publications

  • Improved Regularization of Convolutional Neural Networks with Cutout.

    Terrance Devries;Graham W. Taylor

  • Deconvolutional networks

    Matthew D. Zeiler;Dilip Krishnan;Graham W. Taylor;Rob Fergus

  • Adaptive deconvolutional networks for mid and high level feature learning

    Matthew D. Zeiler;Graham W. Taylor;Rob Fergus

  • Modeling Human Motion Using Binary Latent Variables

    Graham W. Taylor;Geoffrey E. Hinton;Sam T. Roweis

  • Deep Multimodal Learning: A Survey on Recent Advances and Trends

    Dhanesh Ramachandram;Graham W. Taylor

  • Convolutional learning of spatio-temporal features

    Graham W. Taylor;Rob Fergus;Yann LeCun;Christoph Bregler

  • The Recurrent Temporal Restricted Boltzmann Machine

    Ilya Sutskever;Geoffrey E. Hinton;Graham W. Taylor

  • Factored conditional restricted Boltzmann Machines for modeling motion style

    Graham W. Taylor;Geoffrey E. Hinton

  • Learning Confidence for Out-of-Distribution Detection in Neural Networks.

    Terrance DeVries;Graham W. Taylor

  • Federated learning and differential privacy for medical image analysis

    Unknown

  • ModDrop: Adaptive Multi-Modal Gesture Recognition

    Natalia Neverova;Christian Wolf;Graham Taylor;Florian Nebout

  • Automatic moth detection from trap images for pest management

    Weiguang Ding;Graham Taylor

  • Dataset Augmentation in Feature Space

    Terrance DeVries;Graham W. Taylor

  • Forecasting air quality time series using deep learning.

    Brian S Freeman;Graham Taylor;Bahram Gharabaghi

  • Multi-scale Deep Learning for Gesture Detection and Localization

    Natalia Neverova;Natalia Neverova;Christian Wolf;Christian Wolf;Graham W. Taylor;Florian Nebout

  • Past, Present, and Future Approaches Using Computer Vision for Animal Re-Identification from Camera Trap Data

    Stefan Schneider;Graham W. Taylor;Stefan S. Linquist;Stefan C. Kremer

  • Learning Human Pose Estimation Features with Convolutional Networks

    Arjun Jain;Jonathan Tompson;Mykhaylo Andriluka;Graham W. Taylor

  • Learning Human Identity From Motion Patterns

    Natalia Neverova;Christian Wolf;Griffin Lacey;Lex Fridman

  • Deep Learning on FPGAs: Past, Present, and Future

    Griffin Lacey;Graham W. Taylor;Shawki Areibi

  • Dynamical binary latent variable models for 3D human pose tracking

    Graham W. Taylor;Leonid Sigal;David J. Fleet;Geoffrey E. Hinton

  • Glimpse Clouds: Human Activity Recognition from Unstructured Feature Points

    Fabien Baradel;Christian Wolf;Julien Mille;Graham W. Taylor

Frequent Co-Authors

Christian Wolf
Christian Wolf Institut National des Sciences Appliquées de Lyon
Vittorio Bellotti
Vittorio Bellotti University College London
Mark B. Pepys
Mark B. Pepys University College London
Alexander Wong
Alexander Wong University of Waterloo
Geoffrey E. Hinton
Geoffrey E. Hinton University of Toronto
Rob Fergus
Rob Fergus New York University
Carol V. Robinson
Carol V. Robinson University of Oxford
Aaron Courville
Aaron Courville University of Montreal
Gideon Dror
Gideon Dror Academic College of Tel Aviv-Yafo

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