Lorenzo Torresani

Lorenzo is a Research Scientist at Facebook AI Research (FAIR) and Applied Research (FAIAR). He is also an Associate Professor in the Computer Science Department at Dartmouth. He received a Laurea Degree in computer science with summa cum laude honors from the University of Milan (Italy), and an M.S. and Ph.D. in computer science from Stanford University. Prior to Facebook, Lorenzo worked at several industrial research labs, including Microsoft Research, Like.com, and Digital Persona. His research interests lie in computer vision and deep learning. He is the recipient of a CVPR Best Student Paper prize, a National Science Foundation CAREER Award, a Google Faculty Research Award, three Facebook Faculty Awards, and a Fulbright US Scholar Award.

Lorenzo's Publications

April 07, 2020

RESEARCH

COMPUTER VISION

Video Classification with Channel-Separated Convolutional Networks

Group convolution has been shown to offer great computational savings in various 2D convolutional architectures for image classification. It is natural to ask: 1) if group convolution can help to alleviate the high computational cost of video…

Du Tran, Heng Wang, Lorenzo Torresani, Matt Feiszli,

April 07, 2020

April 07, 2020

RESEARCH

COMPUTER VISION

DistInit: Learning Video Representations Without a Single Labeled Video

Video recognition models have progressed significantly over the past few years, evolving from shallow classifiers trained on hand-crafted features to deep spatiotemporal networks. However, labeled video data required to train such models has…

Rohit Girdhar, Du Tran, Lorenzo Torresani, Deva Ramanan,

April 07, 2020

April 07, 2020

RESEARCH

COMPUTER VISION

SCSampler: Sampling Salient Clips from Video for Efficient Action Recognition

While many action recognition datasets consist of collections of brief, trimmed videos each containing a relevant action, videos in the real-world (e.g., on YouTube) exhibit very different properties: they are often several minutes long, where…

Bruno Korbar, Du Tran, Lorenzo Torresani,

April 07, 2020