H-Index & Metrics Top Publications
Antonio Torralba

Antonio Torralba

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 115 Citations 81,259 274 World Ranking 70 National Ranking 44

Research.com Recognitions

Awards & Achievements

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

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Machine learning

The scientist’s investigation covers issues in Artificial intelligence, Computer vision, Object, Cognitive neuroscience of visual object recognition and Pattern recognition. His Artificial intelligence research incorporates themes from Context and Machine learning. His Computer vision research includes elements of Scene statistics, Visual processing, Categorization and Pattern recognition.

His study in Object is interdisciplinary in nature, drawing from both Image processing, Feature extraction, Parsing and Bundle adjustment. Antonio Torralba combines subjects such as Communication, Image retrieval, Database and Human visual system model with his study of Cognitive neuroscience of visual object recognition. Antonio Torralba has included themes like Artificial neural network, Focus, Representation and Contextual image classification in his Pattern recognition study.

His most cited work include:

  • Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope (5467 citations)
  • Learning Deep Features for Discriminative Localization (3220 citations)
  • LabelMe: A Database and Web-Based Tool for Image Annotation (2315 citations)

What are the main themes of his work throughout his whole career to date?

Antonio Torralba spends much of his time researching Artificial intelligence, Computer vision, Object, Pattern recognition and Machine learning. His study in Image, Object detection, Cognitive neuroscience of visual object recognition, Artificial neural network and Convolutional neural network falls within the category of Artificial intelligence. His research integrates issues of Context, Visualization and Scene statistics in his study of Computer vision.

His Object research is multidisciplinary, incorporating perspectives in Human–computer interaction and Pattern recognition. His Pattern recognition study combines topics from a wide range of disciplines, such as Viola–Jones object detection framework and Feature. His research in Machine learning intersects with topics in Representation and Inference.

He most often published in these fields:

  • Artificial intelligence (79.17%)
  • Computer vision (40.89%)
  • Object (20.57%)

What were the highlights of his more recent work (between 2018-2021)?

  • Artificial intelligence (79.17%)
  • Computer vision (40.89%)
  • Artificial neural network (10.42%)

In recent papers he was focusing on the following fields of study:

Antonio Torralba mainly investigates Artificial intelligence, Computer vision, Artificial neural network, Object and Generative model. His Artificial intelligence study combines topics in areas such as Natural language processing, Machine learning and Pattern recognition. While the research belongs to areas of Computer vision, Antonio Torralba spends his time largely on the problem of Leverage, intersecting his research to questions surrounding Inverse problem and Inverse kinematics.

As a member of one scientific family, Antonio Torralba mostly works in the field of Artificial neural network, focusing on Deep learning and, on occasion, Optical flow, Speech recognition and Pose. The concepts of his Object study are interwoven with issues in Pixel, Task, Human–computer interaction and Image editing. His studies deal with areas such as Ground truth and Feature extraction as well as Visualization.

Between 2018 and 2021, his most popular works were:

  • Semantic Understanding of Scenes Through the ADE20K Dataset (303 citations)
  • What Do Different Evaluation Metrics Tell Us About Saliency Models (261 citations)
  • Learning the signatures of the human grasp using a scalable tactile glove. (167 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Computer vision
  • Machine learning

Antonio Torralba focuses on Artificial intelligence, Object, Artificial neural network, Computer vision and Visualization. Antonio Torralba interconnects Machine learning, Pattern recognition and Natural language processing in the investigation of issues within Artificial intelligence. His work deals with themes such as Pixel, Task and Image editing, which intersect with Object.

His Artificial neural network research includes themes of Generative model and Graph. His research is interdisciplinary, bridging the disciplines of Polygon mesh and Computer vision. His Visualization research integrates issues from Motion, Image segmentation, Object detection, Ground truth and Feature extraction.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

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

Aude Oliva;Antonio Torralba.
International Journal of Computer Vision (2001)

7195 Citations

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

Bryan C. Russell;Antonio Torralba;Kevin P. Murphy;William T. Freeman.
International Journal of Computer Vision (2008)

2988 Citations

Learning Deep Features for Discriminative Localization

Bolei Zhou;Aditya Khosla;Agata Lapedriza;Aude Oliva.
computer vision and pattern recognition (2016)

2525 Citations

Learning Deep Features for Scene Recognition using Places Database

Bolei Zhou;Agata Lapedriza;Jianxiong Xiao;Antonio Torralba.
neural information processing systems (2014)

2490 Citations

Spectral Hashing

Yair Weiss;Antonio Torralba;Rob Fergus.
neural information processing systems (2008)

2472 Citations

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

Jianxiong Xiao;James Hays;Krista A. Ehinger;Aude Oliva.
computer vision and pattern recognition (2010)

2227 Citations

Learning to predict where humans look

Tilke Judd;Krista Ehinger;Fredo Durand;Antonio Torralba.
international conference on computer vision (2009)

1908 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.
Psychological Review (2006)

1846 Citations

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

A. Torralba;R. Fergus;W.T. Freeman.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2008)

1782 Citations

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

Aude Oliva;Antonio Torralba.
Progress in Brain Research (2006)

1536 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

If you think any of the details on this page are incorrect, let us know.

Contact us

Top Scientists Citing Antonio Torralba

Qi Tian

Qi Tian

Huawei Technologies (China)

Publications: 148

Dacheng Tao

Dacheng Tao

University of Sydney

Publications: 141

Li Fei-Fei

Li Fei-Fei

Stanford University

Publications: 131

Kristen Grauman

Kristen Grauman

Facebook (United States)

Publications: 128

Luc Van Gool

Luc Van Gool

ETH Zurich

Publications: 128

Shuicheng Yan

Shuicheng Yan

National University of Singapore

Publications: 116

Trevor Darrell

Trevor Darrell

University of California, Berkeley

Publications: 108

Bernt Schiele

Bernt Schiele

Max Planck Institute for Informatics

Publications: 108

Jiebo Luo

Jiebo Luo

University of Rochester

Publications: 106

Ling Shao

Ling Shao

Inception Institute of Artificial Intelligence

Publications: 104

Devi Parikh

Devi Parikh

Facebook (United States)

Publications: 103

Andrew Zisserman

Andrew Zisserman

University of Oxford

Publications: 101

Chunhua Shen

Chunhua Shen

University of Adelaide

Publications: 98

Alexei A. Efros

Alexei A. Efros

University of California, Berkeley

Publications: 98

Ming-Hsuan Yang

Ming-Hsuan Yang

University of California, Merced

Publications: 94

Something went wrong. Please try again later.