Andrea Vedaldi
Impact in
- Computer Vision and Pattern Recognition top 0.01%
- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Face recognition and analysis
- Image Retrieval and Classification Techniques
- Face and Expression Recognition
- Human Pose and Action Recognition
- Media Technology top 0.05%
Papers in
-
- Advanced Image and Video Retrieval Techniques 55
- Advanced Vision and Imaging 31
- Advanced Neural Network Applications 28
- Human Pose and Action Recognition 25
- Generative Adversarial Networks and Image Synthesis 20
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- Domain Adaptation and Few-Shot Learning 27
- Co-authors
- Andrew Zisserman (34 shared papers)Omkar Parkhi (8 shared papers)Brian Fulkerson (2 shared papers)Karel Lenc (4 shared papers)Victor Lempitsky (8 shared papers)Dmitry Ulyanov (5 shared papers)Aravindh Mahendran (2 shared papers)Max Jaderberg (3 shared papers)
- Journals
- International Journal of Computer Vision (6 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (6 papers)Computer Vision and Image Understanding (2 papers)Lecture notes in computer science (14 papers)Medical Image Analysis (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Andrea Vedaldi
156 papers receiving 24.9k citations
Andrea Vedaldi's Hit Papers
Peers
Comparison fields: 5 of 201
- Computer Vision and Pattern Recognition 19.3k
- Media Technology 2.8k
- Signal Processing 2.4k
- Artificial Intelligence 7.1k
- Computer Graphics and Computer-Aided Design 675
Countries citing papers authored by Andrea Vedaldi
This map shows the geographic impact of Andrea Vedaldi'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 Andrea Vedaldi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrea Vedaldi more than expected).
Fields of papers citing papers by Andrea Vedaldi
This network shows the impact of papers produced by Andrea Vedaldi. 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 Andrea Vedaldi. The network helps show where Andrea Vedaldi may publish in the future.
Co-authors
The 25 scholars most cited alongside Andrea Vedaldi, 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 164 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Deep Face Recognition Hit paper breakdown → | 2015 | 3072 |
| 2 | Vlfeat Hit paper breakdown → | 2010 | 1906 |
| 3 | MatConvNet Hit paper breakdown → | 2015 | 1722 |
| 4 | Describing Textures in the Wild Hit paper breakdown → | 2014 | 1243 |
| 5 | Deep Image Prior Hit paper breakdown → | 2018 | 1055 |
| 6 | End-to-end representation learning for Correlation Filter based tracking Hit paper breakdown → | 2017 | 1035 |
| 7 | Understanding deep image representations by inverting them Hit paper breakdown → | 2015 | 968 |
| 8 | Explainable AI: Interpreting, Explaining and Visualizing Deep Learning Hit paper breakdown → | 2019 | 901 |
| 9 | Synthetic Data for Text Localisation in Natural Images Hit paper breakdown → | 2016 | 836 |
| 10 | Reading Text in the Wild with Convolutional Neural Networks Hit paper breakdown → | 2015 | 754 |
| 11 | Speeding up Convolutional Neural Networks with Low Rank Expansions Hit paper breakdown → | 2014 | 745 |
| 12 | Cats and dogs Hit paper breakdown → | 2012 | 745 |
| 13 | The devil is in the details: an evaluation of recent feature encoding methods Hit paper breakdown → | 2011 | 534 |
| 14 | Multiple kernels for object detection Hit paper breakdown → | 2009 | 499 |
| 15 | Improved Texture Networks: Maximizing Quality and Diversity in Feed-Forward Stylization and Texture Synthesis Hit paper breakdown → | 2017 | 497 |
| 16 | Efficient Additive Kernels via Explicit Feature Maps Hit paper breakdown → | 2011 | 450 |
| 17 | Class segmentation and object localization with superpixel neighborhoods Hit paper breakdown → | 2009 | 446 |
| 18 | Deep filter banks for texture recognition and segmentation Hit paper breakdown → | 2015 | 430 |
| 19 | Objects in Context Hit paper breakdown → | 2007 | 420 |
| 20 | Deep Image Prior Hit paper breakdown → | 2020 | 394 |
About Andrea Vedaldi
Andrea Vedaldi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Mechanics, Aerospace Engineering and Computer Graphics and Computer-Aided Design, having authored 164 papers that have together received 25.8k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (55 papers), Advanced Vision and Imaging (31 papers), Advanced Neural Network Applications (28 papers), Domain Adaptation and Few-Shot Learning (27 papers), Human Pose and Action Recognition (25 papers), 3D Shape Modeling and Analysis (21 papers), Generative Adversarial Networks and Image Synthesis (20 papers) and Robotics and Sensor-Based Localization (17 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (19.3k citations), Media Technology (2.8k citations), Signal Processing (2.4k citations), Artificial Intelligence (7.1k citations) and Computer Graphics and Computer-Aided Design (675 citations). Andrea Vedaldi has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Andrew Zisserman, Omkar Parkhi, Brian Fulkerson, Karel Lenc, Victor Lempitsky, Dmitry Ulyanov, Aravindh Mahendran, Max Jaderberg, Subhransu Maji and Mircea Cimpoi. Their work appears in journals such as International Journal of Computer Vision, IEEE Transactions on Pattern Analysis and Machine Intelligence, Computer Vision and Image Understanding, Lecture notes in computer science and Medical Image Analysis.
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.