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 I am looking for PhD student interns to work on video understanding
       at Facebook in Menlo Park during summer 2018. Send me an email
       with your resume to apply.

  1. Bullet New paper to appear at NIPS 2017:

   Learning to Inpaint for Image Compression,

   with Haris Baig, and Vladlen Koltun.

  1. Bullet In July 2017 I will be joining Facebook to work on exciting new deep learning
       projects (on leave from Dartmouth until the end of 2018).

  1. Bullet I won a Fulbright U.S. Scholar Award to teach and research at Ashesi University
       in Ghana. I look forward to this African adventure!

  1. Bullet We released our new dataset for video comprehension, named VideoMCC.
       It includes over 600 hours of video. Give it a try!

  1. Bullet Two new papers on arXiv:

  1. -   VideoMCC: a New Benchmark for Video Comprehension,
        with Du Tran, Maksim Bolonkin, and Manohar Paluri.

  2. -   BranchConnect:
        Large-Scale Visual Recognition with Learned Branch Connections
        with Karim Ahmed.

  3. Bullet Area chair for ICCV 2017.

  1. Bullet New paper to appear at CVPR 2017:

   Convolutional Random Walk Networks for Semantic Image Segmentation,
   with Gedas Bertasius, Stella Yu and Jianbo Shi.

  1. Bullet New paper at ICLR 2017:

   Recurrent Mixture Density Network for Spatiotemporal Visual Attention,
   with Loris Bazzani and Hugo Larochelle.

  1. Bullet New paper at AISTATS 2017:

   Local Perturb-and-MAP for Structured Prediction,
   with Gedas Bertasius, Qiang Liu and Jianbo Shi.

  1. Bullet New paper to appear in Computer Vision and Image Understanding:

   Multiple Hypothesis Colorization and Its Application to Image Compression,
   with Haris Baig.

  1. Bullet Area chair for CVPR 2017.

  1. Bullet Together with collaborators at Facebook and Google I co-organized the
    1st Workshop on Large Scale Computer Vision Systems (LSCVS), at NIPS 2016.

  1. Bullet New paper at SPIE Symposium on Electronic Imaging 2017:

   Deciphering Severely Degraded License Plates,
   with Shruti Agarwal, Du Tran, and Hany Farid.

  1. Bullet New paper at ECCV 2016:

   Network of Experts for Large-Scale Image Categorization,
   with Karim Ahmed and Haris Baig.

  1. Bullet New paper at CVPR 2016:

   Semantic Segmentation with Boundary Neural Fields,
   with Gedas Bertasius and Jianbo Shi.

  1. Bullet New paper at the 3rd Workshop on Deep Learning in Computer Vision, 2016:

   Deep End2End Voxel2Voxel Prediction,
   with Du Tran, Lubomir Bourdev, Rob Fergus and Manohar Paluri.

  1. Bullet New article in IJCV:

   EXMOVES: Mid-level Features for Efficient Action Recognition and Video Analysis,
   with Du Tran.


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

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