Learning Hierarchical Spatio-temporal Features for Action Recognition with Independent Subspace Analysis. I used to be an amateur actor in England.
PhD Student at Department of Electrical Engineering, Stanford University.
Address: Room 124, Gates Building, Stanford CA 94305.
Email: wzou [---@---] stanford.edu
I did my undergraduate at Fitzwilliam College, University of Cambridge. Now I am studying towards a Ph.D. at Stanford.
Progressive Development of the Number Sense in a Deep Neural Network.
Will Y. Zou, James L. McClelland.
Abstract/Poster, CogSci 2013. [Link]
Deep Learning of Invariant Features via Simulated Fixations in Video.
Will Y. Zou, Shenghuo Zhu, Andrew Y. Ng, Kai Yu.
NIPS, 2012. [PDF]
[Demo code] [Invariance visualizations]
Also appeared in NIPS workshop on deep learning and unsupervised feature learning, 2011 [PDF]
Haptic Belt with Pedestrian Detection.
Quoc V. Le, Morgan Quigley, Jean Feng, Justin Chen, Will Y. Zou, Marc Rasi, Tiffany Low, Andrew Y. Ng
NIPS, 2011 (Demonstrations).[Poster]
Quoc.V. Le, Will.Y. Zou, Serena.Y. Yeung, Andrew.Y. Ng.
CVPR, 2011. (Oral presentation) [PDF]
[Appendix], [Code], [Notes].
[Features] already trained on Hollywood2
Dasher in Chinese
Cavendish Laboratory, Cambridge
Efficient implementation of Bayesian Sets
Machine Learning Group, Cambridge, with Xyggy
Learning Hierarchical Spatio-temporal Features for Action Recognition with Independent Subspace Analysis.
I used to be an amateur actor in England.