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Silvio Savarese

Salesforce (United States) · US
Area of research
Computer Vision and Pattern Recognition · Aerospace Engineering
Research interest
Research interests include Robotics and Sensor-Based Localization, Multimodal Machine Learning Applications, Human Pose and Action Recognition, and Advanced Image and Video Retrieval Techniques.
h-index
94
citations
42,017
works
522
NIH funding
primary concept
email

Recent publications

Biological data annotation via a human-augmenting AI-based labeling system
npj Digital Medicine 2021cited by 41position: middledoi
DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion
2019cited by 1,116position: lastdoi
Active Learning for Convolutional Neural Networks: A Core-Set Approach
International Conference on Learning Representations 2018cited by 482position: last
Generalizing to Unseen Domains via Adversarial Data Augmentation
Neural Information Processing Systems 2018cited by 200position: last
Long-term path prediction in urban scenarios using circular distributions
Image and Vision Computing 2017cited by 45position: middledoi
Social LSTM: Human Trajectory Prediction in Crowded Spaces
2016cited by 3,457position: lastdoi
3D Semantic Parsing of Large-Scale Indoor Spaces
2016cited by 1,903position: lastdoi
3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction
Lecture notes in computer science 2016cited by 1,731position: lastdoi
Learning Transferrable Representations for Unsupervised Domain Adaptation
Neural Information Processing Systems 2016cited by 264position: last
Structural-RNN: Deep Learning on Spatio-Temporal Graphs
2016cited by 82position: middledoi
Watch-n-patch: Unsupervised understanding of actions and relations
2015cited by 129position: middledoi
Unsupervised Semantic Parsing of Video Collections
2015cited by 93position: middledoi
Beyond PASCAL: A benchmark for 3D object detection in the wild
IEEE Winter Conference on Applications of Computer Vision 2014cited by 797position: lastdoi
Monocular Multiview Object Tracking with 3D Aspect Parts
Lecture notes in computer science 2014cited by 39position: lastdoi

Grants

CAREER: Toward Discovering the 3D Geometrical and Semantic Structure of Objects and Scenes
NSF1419433$259,4722013–2015PIRePORTER
CAREER: Toward Discovering the 3D Geometrical and Semantic Structure of Objects and Scenes
NSF1054127$300,4022011–2014PIRePORTER
EAGER: Modeling and Recognizing Collective Activities
NSF1052762$80,0002010–2012PIRePORTER

Frequent collaborators

Ozan Şener · Intel (United States)5 papers (2015–2018)Ashutosh Saxena · CMR University4 papers (2015–2016)Amir Zamir · École Polytechnique Fédérale de Lausanne3 papers (2015–2016)Alexandre Alahi · École Polytechnique Fédérale de Lausanne2 papers (2016–2017)Roozbeh Mottaghi · Seattle University2 papers (2014–2014)Li Fei-Fei · Artificial Intelligence in Medicine (Canada)2 papers (2016–2019)Danfei Xu · Georgia Institute of Technology2 papers (2016–2019)Lara Richer · McGill University Health Centre1 papers (2021–2021)Alexandre Robicquet · Stanford University1 papers (2016–2016)Richard Socher · Salesforce (United States)1 papers (2021–2021)John C. Duchi · University of California, Berkeley1 papers (2018–2018)Roberto Martín-Martín · The University of Texas at Austin1 papers (2019–2019)Pasquale Coscia · University of Padua1 papers (2017–2017)Lamberto Ballan · University of Padua1 papers (2017–2017)Israa Laklouk · University of California, Los Angeles1 papers (2021–2021)Andre Esteva · Alto Neuroscience (United States)1 papers (2021–2021)JunYoung Gwak · University of Seoul1 papers (2016–2016)Kratarth Goel · Université de Montréal1 papers (2016–2016)Christopher Choy · Carnegie Mellon University1 papers (2016–2016)Vignesh Ramanathan · PSG INSTITUTE OF TECHNOLOGY AND APPLIED RESEARCH1 papers (2016–2016)