Roberto Cipolla
Impact in
- Computer Vision and Pattern Recognition top 0.02%
- Advanced Vision and Imaging
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Human Pose and Action Recognition
- Optical measurement and interference techniques
- Face and Expression Recognition
Papers in
-
- Advanced Vision and Imaging 181
- Advanced Image and Video Retrieval Techniques 84
- Optical measurement and interference techniques 63
- Human Pose and Action Recognition 51
- Face and Expression Recognition 47
- Video Surveillance and Tracking Methods 43
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- Computer Graphics and Visualization Techniques 44
- Co-authors
- Alex Kendall (9 shared papers)Gabriel Brostow (10 shared papers)Vijay Badrinarayanan (15 shared papers)Jamie Shotton (9 shared papers)Yarin Gal (3 shared papers)Tae‐Kyun Kim (29 shared papers)Julien Fauqueur (3 shared papers)Matthew Koichi Grimes (1 shared paper)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (21 papers)Image and Vision Computing (20 papers)International Journal of Computer Vision (14 papers)Machine Vision and Applications (11 papers)Lecture notes in computer science (54 papers)
- Partner nations
- United KingdomJapanUnited States
In The Last Decade
Roberto Cipolla
394 papers receiving 23.6k citations
Roberto Cipolla's Hit Papers
Peers
Comparison fields: 5 of 193
- Computer Vision and Pattern Recognition 19.4k
- Computer Graphics and Computer-Aided Design 1.4k
- Geology 1.8k
- Human-Computer Interaction 1.7k
- Media Technology 2.0k
Countries citing papers authored by Roberto Cipolla
This map shows the geographic impact of Roberto Cipolla'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 Roberto Cipolla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Cipolla more than expected).
Fields of papers citing papers by Roberto Cipolla
This network shows the impact of papers produced by Roberto Cipolla. 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 Roberto Cipolla. The network helps show where Roberto Cipolla may publish in the future.
Co-authors
The 25 scholars most cited alongside Roberto Cipolla, 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 396 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Multi-task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics Hit paper breakdown → | 2018 | 1823 |
| 2 | PoseNet: A Convolutional Network for Real-Time 6-DOF Camera Relocalization Hit paper breakdown → | 2015 | 1685 |
| 3 | Semantic object classes in video: A high-definition ground truth database Hit paper breakdown → | 2008 | 1101 |
| 4 | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Hit paper breakdown → | 2017 | 1087 |
| 5 | Semantic texton forests for image categorization and segmentation Hit paper breakdown → | 2008 | 833 |
| 6 | Segmentation and Recognition Using Structure from Motion Point Clouds Hit paper breakdown → | 2008 | 797 |
| 7 | Geometric Loss Functions for Camera Pose Regression with Deep Learning Hit paper breakdown → | 2017 | 581 |
| 8 | Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding Hit paper breakdown → | 2017 | 551 |
| 9 | MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving Hit paper breakdown → | 2018 | 507 |
| 10 | Discriminative Learning and Recognition of Image Set Classes Using Canonical Correlations Hit paper breakdown → | 2007 | 494 |
| 11 | Real-time visual tracking of complex structures Hit paper breakdown → | 2002 | 478 |
| 12 | 2006 | 333 | |
| 13 | 2006 | 329 | |
| 14 | 2008 | 300 | |
| 15 | 1997 | 271 | |
| 16 | 2007 | 269 | |
| 17 | 2005 | 264 | |
| 18 | 2008 | 261 | |
| 19 | 2003 | 240 | |
| 20 | 2008 | 237 |
About Roberto Cipolla
Roberto Cipolla is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Aerospace Engineering, Geology and Human-Computer Interaction, having authored 396 papers that have together received 24.7k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (181 papers), Robotics and Sensor-Based Localization (94 papers), Advanced Image and Video Retrieval Techniques (84 papers), Optical measurement and interference techniques (63 papers), Human Pose and Action Recognition (51 papers), Face and Expression Recognition (47 papers), Computer Graphics and Visualization Techniques (44 papers) and Video Surveillance and Tracking Methods (43 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (19.4k citations), Computer Graphics and Computer-Aided Design (1.4k citations), Geology (1.8k citations), Human-Computer Interaction (1.7k citations) and Media Technology (2.0k citations). Roberto Cipolla has collaborated with scholars based in United Kingdom, Japan and United States. Frequent co-authors include Alex Kendall, Gabriel Brostow, Vijay Badrinarayanan, Jamie Shotton, Yarin Gal, Tae‐Kyun Kim, Julien Fauqueur, Matthew Koichi Grimes, Tom W. Drummond and Björn Stenger. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Image and Vision Computing, International Journal of Computer Vision, Machine Vision and Applications and Lecture notes in computer science.
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.