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
- Co-authors
- Aude OlivaBolei ZhouÀgata LapedrizaAditya KhoslaWilliam T. FreemanKevin MurphyRob FergusJianxiong Xiao
- Journals
- Journal of Vision (15 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (15 papers)International Journal of Computer Vision (9 papers)Network Computation in Neural Systems (2 papers)Nature Communications (2 papers)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Antonio Torralba
240 papers receiving 49.7k citations
Hit Papers
Peers
Comparison fields: 5 of 219
- Computer Vision and Pattern Recognition 35.7k
- Human-Computer Interaction 2.9k
- Media Technology 4.2k
- Artificial Intelligence 13.5k
- 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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 10 | |
| 4 | 2024 | 8 | |
| 5 | 2022 | 19 | |
| 6 | Estimating Generalization under Distribution Shifts via Domain-Invariant Representations | 2020 | 1 |
| 7 | Grounding Spoken Words in Unlabeled Video | 2019 | 9 |
| 8 | 2018 | 175 | |
| 9 | Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids | 2018 | 26 |
| 10 | 2017 | 100 | |
| 11 | Unsupervised learning of spoken language with visual context | 2016 | 112 |
| 12 | SUN Database: Exploring a Large Collection of Scene Categories | 2014 | 9 |
| 13 | 2012 | 26 | |
| 14 | Transfer Learning by Borrowing Examples for Multiclass Object Detection | 2011 | 62 |
| 15 | Spectral Hashing Hit paper breakdown → | 2008 | 1437 |
| 16 | Object Recognition by Scene Alignment | 2007 | 75 |
| 17 | Using the Forest to See the Trees: A Graphical Model Relating Features, Objects, and Scenes | 2003 | 219 |
| 18 | Graphical Model For Recognizing Scenes and Objects. | 2003 | 20 |
| 19 | Shape Recipes: Scene Representations that Refer to the Image | 2002 | 12 |
| 20 | Contextual Modulation of Target Saliency | 2001 | 17 |
About Antonio Torralba
Antonio Torralba is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Media Technology, Human-Computer Interaction and Artificial Intelligence, having authored 250 papers that have together received 51.5k 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 (35.7k citations), Human-Computer Interaction (2.9k citations), Media Technology (4.2k citations), Artificial Intelligence (13.5k citations) and Cognitive Neuroscience (6.8k citations). Antonio Torralba has collaborated with scholars based in United States, Canada and France. 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, Network Computation in Neural Systems and Nature Communications.
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.