NIPS Proceedingsβ

Trevor Darrell

22 Papers

  • Do Convnets Learn Correspondence? (2014)
  • LSDA: Large Scale Detection through Adaptation (2014)
  • Weakly-supervised Discovery of Visual Pattern Configurations (2014)
  • Visual Concept Learning: Combining Machine Vision and Bayesian Generalization on Concept Hierarchies (2013)
  • Learning with Recursive Perceptual Representations (2012)
  • Timely Object Recognition (2012)
  • Heavy-tailed Distances for Gradient Based Image Descriptors (2011)
  • Factorized Latent Spaces with Structured Sparsity (2010)
  • Size Matters: Metric Visual Search Constraints from Monocular Metadata (2010)
  • An Additive Latent Feature Model for Transparent Object Recognition (2009)
  • Filtering Abstract Senses From Image Search Results (2009)
  • Learning to Hash with Binary Reconstructive Embeddings (2009)
  • Unsupervised Learning of Visual Sense Models for Polysemous Words (2008)
  • Approximate Correspondences in High Dimensions (2006)
  • Conditional Random Fields for Object Recognition (2004)
  • Location Estimation with a Differential Update Network (2002)
  • Recovering Articulated Model Topology from Observed Rigid Motion (2002)
  • Learning Joint Statistical Models for Audio-Visual Fusion and Segregation (2000)
  • Example-Based Image Synthesis of Articulated Figures (1998)
  • Active Gesture Recognition using Learned Visual Attention (1995)
  • Correlation and Interpolation Networks for Real-time Expression Analysis/Synthesis (1994)
  • Against Edges: Function Approximation with Multiple Support Maps (1991)