Antonio Torralba
Impact in
- Computer Vision and Pattern Recognition top 0.01%
- Advanced Image and Video Retrieval Techniques
- Visual Attention and Saliency Detection
- Advanced Neural Network Applications
- Image Retrieval and Classification Techniques
- Multimodal Machine Learning Applications
- Video Surveillance and Tracking Methods
- Human-Computer Interaction top 0.02%
Papers in
-
- Advanced Image and Video Retrieval Techniques 91
- Image Retrieval and Classification Techniques 47
- Multimodal Machine Learning Applications 43
- Visual Attention and Saliency Detection 36
- Advanced Neural Network Applications 31
- Advanced Vision and Imaging 31
- Generative Adversarial Networks and Image Synthesis 27
-
- Domain Adaptation and Few-Shot Learning 23
- Co-authors
- Aude Oliva (46 shared papers)Bolei Zhou (13 shared papers)Àgata Lapedriza (7 shared papers)Aditya Khosla (15 shared papers)William T. Freeman (33 shared papers)Kevin Murphy (8 shared papers)Rob Fergus (6 shared papers)Jianxiong Xiao (14 shared papers)
- Journals
- Journal of Vision (15 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (15 papers)International Journal of Computer Vision (9 papers)ACM Transactions on Graphics (2 papers)Nature Electronics (2 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Antonio Torralba
243 papers receiving 50.7k citations
Antonio Torralba's Hit Papers
Peers
Comparison fields: 5 of 219
- Computer Vision and Pattern Recognition 35.9k
- Human-Computer Interaction 2.9k
- Media Technology 4.2k
- Artificial Intelligence 13.6k
- Cognitive Neuroscience 6.8k
Countries citing papers authored by Antonio Torralba
This map shows the geographic impact of Antonio Torralba's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Antonio Torralba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antonio Torralba more than expected).
Fields of papers citing papers by Antonio Torralba
This network shows the impact of papers produced by Antonio Torralba. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Antonio Torralba. The network helps show where Antonio Torralba may publish in the future.
Co-authors
The 25 scholars most cited alongside Antonio Torralba, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 253 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Learning Deep Features for Discriminative Localization Hit paper breakdown → | 2016 | 6677 |
| 2 | Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope Hit paper breakdown → | 2001 | 4524 |
| 3 | LabelMe: A Database and Web-Based Tool for Image Annotation Hit paper breakdown → | 2007 | 2816 |
| 4 | Places: A 10 Million Image Database for Scene Recognition Hit paper breakdown → | 2017 | 2399 |
| 5 | SUN database: Large-scale scene recognition from abbey to zoo Hit paper breakdown → | 2010 | 1895 |
| 6 | Scene Parsing through ADE20K Dataset Hit paper breakdown → | 2017 | 1824 |
| 7 | Learning Deep Features for Scene Recognition using Places Database Hit paper breakdown → | 2014 | 1560 |
| 8 | Spectral Hashing Hit paper breakdown → | 2008 | 1441 |
| 9 | Learning to predict where humans look Hit paper breakdown → | 2009 | 1335 |
| 10 | 80 Million Tiny Images: A Large Data Set for Nonparametric Object and Scene Recognition Hit paper breakdown → | 2008 | 1272 |
| 11 | Unbiased look at dataset bias Hit paper breakdown → | 2011 | 1267 |
| 12 | Contextual guidance of eye movements and attention in real-world scenes: The role of global features in object search. Hit paper breakdown → | 2006 | 1193 |
| 13 | SIFT Flow: Dense Correspondence across Scenes and Its Applications Hit paper breakdown → | 2010 | 1104 |
| 14 | Semantic Understanding of Scenes Through the ADE20K Dataset Hit paper breakdown → | 2018 | 1021 |
| 15 | Chapter 2 Building the gist of a scene: the role of global image features in recognition Hit paper breakdown → | 2006 | 988 |
| 16 | Recognizing indoor scenes Hit paper breakdown → | 2009 | 906 |
| 17 | Learning the signatures of the human grasp using a scalable tactile glove Hit paper breakdown → | 2019 | 905 |
| 18 | The role of context in object recognition Hit paper breakdown → | 2007 | 674 |
| 19 | Statistics of natural image categories Hit paper breakdown → | 2003 | 604 |
| 20 | Eye Tracking for Everyone Hit paper breakdown → | 2016 | 561 |
About Antonio Torralba
Antonio Torralba is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Cognitive Neuroscience, Aerospace Engineering and Media Technology, having authored 253 papers that have together received 52.5k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (91 papers), Image Retrieval and Classification Techniques (47 papers), Multimodal Machine Learning Applications (43 papers), Visual Attention and Saliency Detection (36 papers), Advanced Neural Network Applications (31 papers), Advanced Vision and Imaging (31 papers), Generative Adversarial Networks and Image Synthesis (27 papers) and Domain Adaptation and Few-Shot Learning (23 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (35.9k citations), Human-Computer Interaction (2.9k citations), Media Technology (4.2k citations), Artificial Intelligence (13.6k citations) and Cognitive Neuroscience (6.8k citations). Antonio Torralba has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Aude Oliva, Bolei Zhou, Àgata Lapedriza, Aditya Khosla, William T. Freeman, Kevin Murphy, Rob Fergus, Jianxiong Xiao, Bryan Russell and Krista A. Ehinger. Their work appears in journals such as Journal of Vision, IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision, ACM Transactions on Graphics and Nature Electronics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.