Lucas Beyer
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 2%
- Radiology, Nuclear Medicine and Imaging top 10%
- Signal Processing top 10%
- Media Technology top 5%
- Co-authors
- Xiaohua ZhaiAlexander KolesnikovNeil HoulsbyBasil MustafaА. И. КолесниковXiao WangDaniel KeysersAndreas Steiner
- Topics
- Domain Adaptation and Few-Shot Learning (9 papers)Advanced Neural Network Applications (7 papers)Multimodal Machine Learning Applications (6 papers)
- Journals
- International Journal of PsychophysiologyIEEE Robotics and Automation LettersJournal of the Audio Engineering Society
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Lucas Beyer
14 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Computer Vision and Pattern Recognition 932
- Artificial Intelligence 775
- Radiology, Nuclear Medicine and Imaging 112
- Signal Processing 99
- Media Technology 85
Countries citing papers authored by Lucas Beyer
This map shows the geographic impact of Lucas Beyer'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 Lucas Beyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lucas Beyer more than expected).
Fields of papers citing papers by Lucas Beyer
This network shows the impact of papers produced by Lucas Beyer. 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 Lucas Beyer. The network helps show where Lucas Beyer may publish in the future.
Co-authorship network of co-authors of Lucas Beyer
This figure shows the co-authorship network connecting the top 25 collaborators of Lucas Beyer. A scholar is included among the top collaborators of Lucas Beyer 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 Lucas Beyer. Lucas Beyer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | Sigmoid Loss for Language Image Pre-Trainingbreakdown → | 173 |
| 3 | 43 | |
| 4 | 123 | |
| 5 | LiT: Zero-Shot Transfer with Locked-image text Tuningbreakdown → | 207 |
| 6 | Scaling Vision Transformersbreakdown → | 430 |
| 7 | An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale | 143 |
| 8 | Effect of a Global Metronome on Ensemble Accuracy in Networked Music Performance | 9 |
| 9 | Large Scale Learning of General Visual Representations for Transfer. | 26 |
| 10 | The Visual Task Adaptation Benchmark | 22 |
| 11 | Revisiting Self-Supervised Visual Representation Learningbreakdown → | 336 |
| 12 | 23 | |
| 13 | 14 | |
| 14 | Living with terror. How to keep a sense of control. | 1 |
| 15 | 1 |
About Lucas Beyer
Lucas Beyer is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction, having authored 15 papers that have together received 1.6k indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (9 papers), Advanced Neural Network Applications (7 papers) and Multimodal Machine Learning Applications (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (932 citations), Artificial Intelligence (775 citations) and Media Technology (85 citations). Lucas Beyer has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Xiaohua Zhai, Alexander Kolesnikov, Neil Houlsby, Basil Mustafa, А. И. Колесников, Xiao Wang, Daniel Keysers, Andreas Steiner, Rohan Anil and Sylvain Gelly. Their work appears in journals such as International Journal of Psychophysiology, IEEE Robotics and Automation Letters and Journal of the Audio Engineering Society.
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.