2026 Lorenzo Torresani: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	60	3158	3066	1529	1472	146	28825

Overview

Lorenzo Torresani is affiliated with Facebook in the United States and has contributed extensively to the field of computer science, with a primary focus on computer vision and pattern recognition. Their research spans over 105 publications across various specialized subfields and topics.

Their areas of specialization include the following subfields:

Computer Vision and Pattern Recognition
Artificial Intelligence
Oncology
Radiology, Nuclear Medicine and Imaging
Cancer Research

The recurring main topics in their work address multiple aspects of machine learning and video analysis, including:

Human Pose and Action Recognition
Multimodal Machine Learning Applications
Domain Adaptation and Few-Shot Learning
Video Analysis and Summarization
AI in cancer detection
Colorectal Cancer Screening and Detection
Radiomics and Machine Learning in Medical Imaging

Lorenzo Torresani has collaborated frequently with several researchers. Their prominent coauthors include:

Gedas Bertasius
Kristen Grauman
Tushar Nagarajan
Saeed Hassanpour
Andrew Westbury

The scientist's publications appear predominantly in well-known venues such as:

arXiv (Cornell University)
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
IEEE Transactions on Pattern Analysis and Machine Intelligence
Journal of Pathology Informatics
SSRN Electronic Journal

Among their recent papers are:

Is Space-Time Attention All You Need for Video Understanding? (2021), published in arXiv (Cornell University)
Ego4D: Around the World in 3,000 Hours of Egocentric Video (2022), presented at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Learning To Recognize Procedural Activities with Distant Supervision (2022), presented at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Long-Short Temporal Contrastive Learning of Video Transformers (2022), presented at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Deformable Video Transformer (2022), presented at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Best Publications

Learning Spatiotemporal Features with 3D Convolutional Networks

Du Tran;Du Tran;Lubomir Bourdev;Rob Fergus;Lorenzo Torresani

9750
Citations
A Closer Look at Spatiotemporal Convolutions for Action Recognition

Du Tran;Heng Wang;Lorenzo Torresani;Jamie Ray;Jamie Ray

3494
Citations
Is Space-Time Attention All You Need for Video Understanding?

Gedas Bertasius;Heng Wang;Lorenzo Torresani

1279
Citations
Video Classification With Channel-Separated Convolutional Networks

Du Tran;Heng Wang;Matt Feiszli;Lorenzo Torresani

619
Citations
Efficient object category recognition using classemes

Lorenzo Torresani;Martin Szummer;Andrew Fitzgibbon

567
Citations
DeepEdge: A multi-scale bifurcated deep network for top-down contour detection

Gedas Bertasius;Jianbo Shi;Lorenzo Torresani

556
Citations
Nonrigid Structure-from-Motion: Estimating Shape and Motion with Hierarchical Priors

L. Torresani;A. Hertzmann;C. Bregler

551
Citations
Feature Correspondence Via Graph Matching: Models and Global Optimization

Lorenzo Torresani;Vladimir Kolmogorov;Carsten Rother

514
Citations
Ego4D: Around the World in 3,000 Hours of Egocentric Video

Kristen Grauman;Andrew Westbury;Eugene Byrne;Zachary Chavis

472
Citations
C3D: Generic Features for Video Analysis.

Du Tran;Lubomir D. Bourdev;Rob Fergus;Lorenzo Torresani

435
Citations
Cooperative Learning of Audio and Video Models from Self-Supervised Synchronization

Bruno Korbar;Du Tran;Lorenzo Torresani

360
Citations
System and method for enabling image recognition and searching of images

Salih Burak Gokturk;Baris Sumengen;Diem Vu;Navneet Dalal

355
Citations
Deep Learning for Classification of Colorectal Polyps on Whole-slide Images.

Bruno Korbar;Andrea M Olofson;Allen P Miraflor;Catherine M Nicka

353
Citations
Tracking and modeling non-rigid objects with rank constraints

L. Torresani;D.B. Yang;E.J. Alexander;C. Bregler

344
Citations
System and method for search portions of objects in images and features thereof

Salih Burak Gokturk;Baris Sumengen;Diem Vu;Navneet Dalal

322
Citations
Exploiting weakly-labeled Web images to improve object classification: a domain adaptation approach

Alessandro Bergamo;Lorenzo Torresani

317
Citations
Self-Supervised Learning by Cross-Modal Audio-Video Clustering

Humam Alwassel;Dhruv Mahajan;Bruno Korbar;Lorenzo Torresani

304
Citations
CarSafe app: alerting drowsy and distracted drivers using dual cameras on smartphones

Chuang-Wen You;Nicholas D. Lane;Fanglin Chen;Rui Wang

298
Citations
HACS: Human Action Clips and Segments Dataset for Recognition and Temporal Localization

Hang Zhao;Antonio Torralba;Lorenzo Torresani;Zhicheng Yan

294
Citations
Large Margin Component Analysis

Lorenzo Torresani;Kuang-chih Lee

288
Citations

Frequent Co-Authors

Jianbo Shi University of Pennsylvania

Andrew Fitzgibbon Graphcore

Christoph Bregler Google

Dragomir Anguelov Waymo

Lubomir Bourdev WaveOne, Inc.

Rob Fergus New York University

Carsten Rother Heidelberg University

Vincent Vanhoucke Google (United States)

Aaron Hertzmann Adobe Systems (United States)

Andrew T. Campbell Dartmouth College

External Links

Personal website of Lorenzo Torresani Google Scholar page

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