NIPS Proceedingsβ

Antonio Torralba

22 Papers

  • Generating Videos with Scene Dynamics (2016)
  • SoundNet: Learning Sound Representations from Unlabeled Video (2016)
  • Unsupervised Learning of Spoken Language with Visual Context (2016)
  • Learning visual biases from human imagination (2015)
  • Skip-Thought Vectors (2015)
  • Where are they looking? (2015)
  • Learning Deep Features for Scene Recognition using Places Database (2014)
  • Localizing 3D cuboids in single-view images (2012)
  • Memorability of Image Regions (2012)
  • Learning to Learn with Compound HD Models (2011)
  • Transfer Learning by Borrowing Examples for Multiclass Object Detection (2011)
  • Understanding the Intrinsic Memorability of Images (2011)
  • Nonparametric Bayesian Texture Learning and Synthesis (2009)
  • Semi-Supervised Learning in Gigantic Image Collections (2009)
  • Unsupervised Detection of Regions of Interest Using Iterative Link Analysis (2009)
  • Spectral Hashing (2008)
  • Object Recognition by Scene Alignment (2007)
  • Describing Visual Scenes using Transformed Dirichlet Processes (2005)
  • Contextual Models for Object Detection Using Boosted Random Fields (2004)
  • Using the Forest to See the Trees: A Graphical Model Relating Features, Objects, and Scenes (2003)
  • Shape Recipes: Scene Representations that Refer to the Image (2002)
  • Contextual Modulation of Target Saliency (2001)