Raquel Urtasun
- Computer Vision and Pattern Recognition top 0.01%
- Aerospace Engineering top 0.05%
- Artificial Intelligence top 0.1%
- Automotive Engineering top 0.1%
- Environmental Engineering top 0.2%
- Co-authors
- Andreas GeigerChristoph StillerPhilip LenzSanja FidlerWenjie LuoAlexander G. SchwingPascal FuaKaustav Kundu
- Topics
- Advanced Neural Network Applications (48 papers)Advanced Image and Video Retrieval Techniques (44 papers)Advanced Vision and Imaging (37 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligencePattern RecognitionInternational Journal of Computer Vision
- Partner nations
- CanadaUnited StatesSwitzerland
In The Last Decade
Raquel Urtasun
188 papers receiving 20.3k citations
Hit Papers
Peers
Comparison fields: 5 of 175
- Computer Vision and Pattern Recognition 15.9k
- Aerospace Engineering 5.0k
- Artificial Intelligence 4.5k
- Automotive Engineering 3.1k
- Environmental Engineering 2.3k
Countries citing papers authored by Raquel Urtasun
This map shows the geographic impact of Raquel Urtasun'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 Raquel Urtasun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raquel Urtasun more than expected).
Fields of papers citing papers by Raquel Urtasun
This network shows the impact of papers produced by Raquel Urtasun. 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 Raquel Urtasun. The network helps show where Raquel Urtasun may publish in the future.
Co-authorship network of co-authors of Raquel Urtasun
This figure shows the co-authorship network connecting the top 25 collaborators of Raquel Urtasun. A scholar is included among the top collaborators of Raquel Urtasun based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Raquel Urtasun. Raquel Urtasun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 12 | |
| 3 | LoCo: Local Contrastive Representation Learning | 2 |
| 4 | Multi-Task Multi-Sensor Fusion for 3D Object Detectionbreakdown → | 490 |
| 5 | 18 | |
| 6 | Leveraging Constraint Logic Programming for Neural Guided Program Synthesis. | 2 |
| 7 | Dimensionality Reduction for Representing the Knowledge of Probabilistic Models | 3 |
| 8 | 110 | |
| 9 | 158 | |
| 10 | Deep Spectral Clustering Learning. | 60 |
| 11 | 12 | |
| 12 | Sequential Inference for Deep Gaussian Process | 6 |
| 13 | Learning Deep Parsimonious Representations | 33 |
| 14 | Proximal Deep Structured Models | 23 |
| 15 | 30 | |
| 16 | Detect What You Can: Detecting and Representing Objects Using Holistic Models and Body Partsbreakdown → | 295 |
| 17 | Efficient Inference of Continuous Markov Random Fields with Polynomial Potentials | 5 |
| 18 | Convex max-product algorithms for continuous MRFs with applications to protein folding | 20 |
| 19 | Factorized Orthogonal Latent Spaces | 52 |
| 20 | Implicitly Constrained Gaussian Process Regression for Monocular Non-Rigid Pose Estimation | 21 |
About Raquel Urtasun
Raquel Urtasun is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Automotive Engineering, having authored 191 papers that have together received 21.2k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (48 papers), Advanced Image and Video Retrieval Techniques (44 papers) and Advanced Vision and Imaging (37 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (15.9k citations), Geology (1.4k citations) and Automotive Engineering (3.1k citations). Raquel Urtasun has collaborated with scholars based in Canada, United States and Switzerland. Frequent co-authors include Andreas Geiger, Christoph Stiller, Philip Lenz, Sanja Fidler, Wenjie Luo, Alexander G. Schwing, Pascal Fua, Kaustav Kundu, Trevor Darrell and Renjie Liao. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and International Journal of Computer Vision.
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.