recent news

1. In Spring 2013 I will be teaching a new course on Deep Learning.
   

1. Software for extraction of classemes, PiCoDes & meta-classes.
   

1. new paper to appear at CVPR 2013:
      Leveraging Structure from Motion to Learn Discriminative Codebooks for Scalable
      Landmark Classification,
      with A. Bergamo, and S. Sinha.
   

1. new paper to appear at MobiSys 2013:
      CarSafe App: Alerting Drowsy and Distracted Drivers using Dual Cameras on
      Smartphones,
      with C.W. You, N. Lane, F. Chen, R. Wang, Z. Chen, T. Bao, Y. Cheng, M. Lin,
      and A. Campbell.
   

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

1. new paper published in IEEE TPAMI:
      A Dual Decomposition Approach to Feature Correspondence,
      with V. Kolmogorov, and C. Rother.
   

1. Invited speaker at the NIPS 2012 Workshop “Big Data Meets Computer Vision”.
   

1. new paper at ECCV 2012.
   

   Measuring Image Distances via Embedding in a Semantic Manifold,

   with C. Fang.

1. new paper at CVPR 2012:
      Meta-Class Features for Large-Scale Object Categorization on a Budget,
      with A. Bergamo.
   

1. new paper at HotMobile 2012:
      WalkSafe: A Pedestrian Safety App for Mobile Phone Users Who Walk and Talk While Crossing Roads,
      with T. Wang, G. Cardone, A. Corradi, and A.T. Campbell.
   

research overview

My research interests are in computer vision, machine learning, and computer animation.
My current work is aimed at designing machine learning algorithms for scalable object recognition and image retrieval. I am also interested in the problem of learning models of human motion using video or motion capture data. You can read more about the research of my group here.

previous affiliations

Microsoft Research Cambridge, Machine Learning and Perception
Riya/Like.com
New York University, Computer Science
Stanford University, Computer Science
DigitalPersona
IRST
University of Milan, Computer Science