I lead the Machine Learning Research Group at the University of Guelph. I am interested in statistical machine learning and biologically-inspired computer vision, with an emphasis on deep learning and time series analysis.

News

Brief Biography

I received received my PhD in Computer Science from the University of Toronto in 2009, where I was advised by Geoffrey Hinton and Sam Roweis. I spent two years as a postdoc at the Courant Institute of Mathematical Sciences, New York University working with Chris Bregler, Rob Fergus, and Yann LeCun. In 2012, I joined the School of Engineering at the University of Guelph as an Assistant Professor.

Research Highlights

A complete list of my publications is available on Google Scholar.

Natalia Neverova, Christian Wolf, Graham Taylor, and Florian Nebout. Moddrop: adaptive multi-modal gesture recognition. arXiv preprint arXiv:1501.00102, 2014. [ bib | .pdf ]

Jan Rudy, Weiguang Ding, Jiwoong Im, and Graham Taylor. Neural network regularization via robust weight factorization. arXiv preprint arXiv:1412.6630, 2014. [ bib | .pdf ]

Jiwoong Im, Ethan Buchman, and Graham Taylor. Understanding minimum probability flow for RBMs under various kinds of dynamics. arXiv preprint arXiv:1412.6617, 2014. [ bib | .pdf ]

Jan Rudy and Graham Taylor. Generative class-conditional autoencoders. arXiv preprint arXiv:1412.7009, 2014. [ bib | .pdf ]

Weiguang Ding, Ruoyan Wang, Fei Mao, and Graham Taylor. Theano-based large-scale visual recognition with multiple GPUs. arXiv preprint arXiv:1412:2302, 2014. [ bib | .pdf ]

Weiguang Ding and Graham Taylor. Mental rotation by optimizing transforming distance. In Neural Information Processing Systems 27 (NIPS) Workshop on Deep Learning and Representation Learning, 2014. [ bib | .pdf ]

Jiwoong Im and Graham Taylor. Analyzing the dynamics of gated auto-encoders. In Neural Information Processing Systems 27 (NIPS) Workshop on Deep Learning and Representation Learning, 2014. [ bib | .pdf ]

Natalia Neverova, Christian Wolf, and Graham Taylor. Hand segmentation into parts with convolutional learning. In Asian Conference on Computer Vision (ACCV), 2014. [ bib | .pdf ]

Natalia Neverova, Christian Wolf, Graham Taylor, and Florian Nebout. Multi-scale deep learning for gesture detection and localization. In ECCV ChaLearn Workshop on Looking at People, 2014. [ bib | .pdf ]

Terrance Devries, Kumar Biswaranjan, and Graham Taylor. Multi-task learning of facial landmarks and expression. In 14th Canadian Conference on Computer and Robot Vision (CRV), 2014. [ bib | .pdf ]

Arjun Jain, Jonathan Tompson, Mykhaylo Andriluka, Graham Taylor, and Christoph Bregler. Learning human pose estimation features with convolutional networks. In International Conference on Learning Representations (ICLR), 2014. [ bib | .pdf ]

Group Members