NIPS Proceedingsβ

Andrew Zisserman

13 Papers

  • Spatial Transformer Networks (2015)
  • Two-Stream Convolutional Networks for Action Recognition in Videos (2014)
  • Deep Fisher Networks for Large-Scale Image Classification (2013)
  • Pylon Model for Semantic Segmentation (2011)
  • Learning To Count Objects in Images (2010)
  • Simultaneous Object Detection and Ranking with Weak Supervision (2010)
  • Segmenting Scenes by Matching Image Composites (2009)
  • Structured output regression for detection with partial truncation (2009)
  • Supervised Dictionary Learning (2008)
  • Learning Visual Attributes (2007)
  • Bayesian Image Super-resolution, Continued (2006)
  • Sampling Methods for Unsupervised Learning (2004)
  • A Sampled Texture Prior for Image Super-Resolution (2003)