Lorenzo Torresani

Associate Professor of Computer Science

Visual Learning Group
Dartmouth College

6211 Sudikoff Lab, Hanover, NH 03755
Fax: (603) 646.


recent news

  1. Bullet In Winter 2016 I will be teaching a seminar on Visual Recognition.
       The prerequisite is CS 74/174 (Machine Learning) or CS 83/183 (Computer Vision).   

   Due to the class format I can grant permission to register only to a small number of
   students. Send me an email if you are interested in taking this class.

  1. Bullet New paper to appear at WACV 2016:
    Coupled Depth Learning,
       with Haris Baig.

  1. Bullet New paper to appear at ICCV 2015:
    High-for-Low and Low-for-High: Efficient Boundary Detection from Deep Object
       Features and its Applications to High-Level Vision
       with Gedas Bertasius and Jianbo Shi.

  1. Bullet New paper to appear at ICCV 2015:
    Learning Spatiotemporal Features with 3D Convolutional Networks,
       with Du Tran, Lubomir Bourdev, Rob Fergus, and Manohar Paluri.

  2. Bullet New paper on arXiv:
    Self-taught Object Localization with Deep Networks,
       with Loris Bazzani, Alessandro Bergamo and Drago Anguelov.

  1. Bullet Area chair for ICCV 2015.

  1. Bullet New article at CVPR 2015:
    DeepEdge: A Multi-Scale Bifurcated Deep Network for Top-Down Contour Detection,
       with Gedas Bertasius and Jianbo Shi.

  1. Bullet New article in IEEE TPAMI (June 2015):
    What Can Pictures Tell Us About Web Pages? Improving Document Search using
       with S. Rodriguez-Vaamonde, and A. Fitzgibbon.

  1. Bullet Area chair for CVPR 2015.

  1. Bullet Winner of a Google Faculty Research Award.

  1. Bullet Recipient of the Susan and Gib Myers 1964 Dartmouth Faculty Fellowship for the
       2014-2015 academic year.

  2. Bullet New article published in IEEE TPAMI (October 2014):
    Classemes and Other Classifier-based Features for Efficient Object Categorization,
       with A. Bergamo.

  1. Bullet New article at WACV 2014:
    AutoCaption: Automatic Caption Generation for Personal Photos,
       with K. Ramnath, S. Baker, L. Vanderwende, M. El-Saban, S.N. Sinha, A. Kannan, 
       N. Hassan, M. Galley, Y. Yang, D. Ramanan, A. Bergamo.

  1. Bullet New article at ICLR 2014:
    EXMOVES: Classifier-based Features for Scalable Action Recognition,
       with D. Tran.

  1. Bullet Winner of a Neukom 2014 CompX grant.

  1. Bullet Thanks to Nvidia Corporation for supporting our research with a hardware donation.

  1. Bullet New article published in Pattern Recognition (March 2014):
    Learning Discriminative Localization from Weakly Labeled Data,
       with M.H. Nguyen, F. de la Torre, and Carsten Rother.

  1. Bullet New paper published in the Machine Learning Journal (February 2014):
    Learning what is where from unlabeled images: joint localization and clustering of
       foreground objects
       with A. Chandrashekar, and R. Granger.

research overview

My research interests are in computer vision and machine learning. My current work is primarily focused on learning representations for image and video recognition. You can read more about the research of my group here.

previous affiliations

Microsoft Research Cambridge, Machine Learning and Perception
New York University, Computer Science
Stanford University, Computer Science
University of Milan, Computer Science