2026 Antonio Torralba: 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	143	50	47	29	27	388	122708

Research.com Recognitions

2026 - Research.com Computer Science in United States Leader Award
2025 - Research.com Computer Science in United States Leader Award
2023 - Research.com Computer Science in United States Leader Award
2022 - Research.com Computer Science in United States Leader Award
2021 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to scene recognition, large-scale visual datasets, and transfer learning.
2010 - IAPR J. K. Aggarwal Prize "For algorithms and representations to exploit context in computer vision."

Overview

Antonio Torralba is affiliated with MIT in the United States and specializes in computer science. Their research portfolio encompasses a substantial number of publications, with a particular focus on computer vision and artificial intelligence within the broader fields of computer science.

Torralba's work extensively covers subfields such as:

Computer Vision and Pattern Recognition
Artificial Intelligence
Signal Processing
Control and Systems Engineering
Computational Mechanics

Their research interests include key topics such as:

Generative Adversarial Networks and Image Synthesis
Multimodal Machine Learning Applications
Advanced Vision and Imaging
Topic Modeling
Domain Adaptation and Few-Shot Learning
Human Pose and Action Recognition
Advanced Image and Video Retrieval Techniques

Antonio Torralba has published research in various venues, with notable frequent publications in:

arXiv (Cornell University)
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
2021 IEEE/CVF International Conference on Computer Vision (ICCV)
IEEE Transactions on Pattern Analysis and Machine Intelligence
Lecture Notes in Computer Science

Some of their recent published papers include:

"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)
"Understanding the role of individual units in a deep neural network" (2020), published in Proceedings of the National Academy of Sciences
"Learning human-environment interactions using conformal tactile textiles" (2021), published in Nature Electronics
"Using AI and Social Media Multimodal Content for Disaster Response and Management: Opportunities, Challenges, and Future Directions" (2020), published in Information Processing & Management
"Dataset Distillation by Matching Training Trajectories" (2022), presented at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Frequent co-authors collaborating with Antonio Torralba include:

Joshua B. Tenenbaum
Chuang Gan
Jacob Andreas
David Bau
Sanja Fidler

Throughout their career, Torralba has received recognitions such as:

Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) in 2021, cited for significant contributions to scene recognition, large-scale visual datasets, and transfer learning
IAPR J. K. Aggarwal Prize in 2010 for work on algorithms and representations to exploit context in computer vision

Best Publications

Learning Deep Features for Discriminative Localization

Bolei Zhou;Aditya Khosla;Agata Lapedriza;Aude Oliva

10765
Citations
Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope

Aude Oliva;Antonio Torralba

8409
Citations
LabelMe: A Database and Web-Based Tool for Image Annotation

Bryan C. Russell;Antonio Torralba;Kevin P. Murphy;William T. Freeman

4931
Citations
Places: A 10 Million Image Database for Scene Recognition

Bolei Zhou;Agata Lapedriza;Aditya Khosla;Aude Oliva

4065
Citations
SUN database: Large-scale scene recognition from abbey to zoo

Jianxiong Xiao;James Hays;Krista A. Ehinger;Aude Oliva

3663
Citations
Learning Deep Features for Scene Recognition using Places Database

Bolei Zhou;Agata Lapedriza;Jianxiong Xiao;Antonio Torralba

3309
Citations
Scene Parsing through ADE20K Dataset

Bolei Zhou;Hang Zhao;Xavier Puig;Sanja Fidler

3033
Citations
Spectral Hashing

Yair Weiss;Antonio Torralba;Rob Fergus

2873
Citations
Unbiased look at dataset bias

Antonio Torralba;Alexei A. Efros

2675
Citations
Learning to predict where humans look

Tilke Judd;Krista Ehinger;Fredo Durand;Antonio Torralba

2485
Citations
80 Million Tiny Images: A Large Data Set for Nonparametric Object and Scene Recognition

A. Torralba;R. Fergus;W.T. Freeman

2319
Citations
Aligning Books and Movies: Towards Story-Like Visual Explanations by Watching Movies and Reading Books

Yukun Zhu;Ryan Kiros;Rich Zemel;Ruslan Salakhutdinov

2302
Citations
Contextual guidance of eye movements and attention in real-world scenes: the role of global features in object search.

Antonio Torralba;Aude Oliva;Monica S. Castelhano;John M. Henderson

2196
Citations
Skip-thought vectors

Ryan Kiros;Yukun Zhu;Ruslan Salakhutdinov;Richard S. Zemel

2155
Citations
SIFT Flow: Dense Correspondence across Scenes and Its Applications

Ce Liu;Jenny Yuen;Antonio Torralba

2040
Citations
Building the gist of a scene: the role of global image features in recognition.

Aude Oliva;Antonio Torralba

1949
Citations
Recognizing indoor scenes

Ariadna Quattoni;Antonio Torralba

1818
Citations
Semantic Understanding of Scenes Through the ADE20K Dataset

Bolei Zhou;Hang Zhao;Xavier Puig;Tete Xiao

1709
Citations
Network Dissection: Quantifying Interpretability of Deep Visual Representations

David Bau;Bolei Zhou;Aditya Khosla;Aude Oliva

1356
Citations
The role of context in object recognition

Aude Oliva;Antonio Torralba

1316
Citations
Generating Videos with Scene Dynamics

Carl Vondrick;Hamed Pirsiavash;Antonio Torralba

1205
Citations
LabelMe: A Database and Web-based Tool for

Bryan C. Russell;Antonio Torralba;Kevin P. Murphy;William T. Freeman

0
Citations

Frequent Co-Authors

Aude Oliva MIT

William T. Freeman MIT

Carl Vondrick Columbia University

Bolei Zhou University of California, Los Angeles

Aditya Khosla MIT

Joshua B. Tenenbaum MIT

Hamed Pirsiavash University of California, Davis

Jiajun Wu Stanford University

Jun-Yan Zhu Carnegie Mellon University

Sanja Fidler University of Toronto

External Links

Personal website of Antonio Torralba Google Scholar page

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