Frederic Besse
Impact in
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- Advanced Vision and Imaging
- Advanced Image Processing Techniques
- Advanced Image and Video Retrieval Techniques
- Image Enhancement Techniques
- Optical measurement and interference techniques
- Generative Adversarial Networks and Image Synthesis
- Media Technology top 10%
- Image Processing Techniques and Applications
Papers in
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- Generative Adversarial Networks and Image Synthesis 2
- Advanced Image and Video Retrieval Techniques 2
- Advanced Vision and Imaging 2
- Image Processing and 3D Reconstruction 1
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- Reinforcement Learning in Robotics 2
- Data Stream Mining Techniques 1
- Artificial Intelligence in Games 1
- Co-authors
- Andrew Fitzgibbon (2 shared papers)Carsten Rother (2 shared papers)Jan Kautz (2 shared papers)Daan Wierstra (2 shared papers)Karol Gregor (3 shared papers)Danilo Jimenez Rezende (3 shared papers)Ivo Danihelka (1 shared paper)Max Jaderberg (1 shared paper)
- Journals
- International Journal of Computer Vision (1 paper)2011 IEEE/AIAA 30th Digital Avionics Systems Conference (1 paper)Neural Information Processing Systems (2 papers)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Frederic Besse
8 papers receiving 247 citations
Peers
Comparison fields: 5 of 44
- Computer Vision and Pattern Recognition 208
- Media Technology 37
- Computer Graphics and Computer-Aided Design 11
- Artificial Intelligence 62
- Aerospace Engineering 39
Countries citing papers authored by Frederic Besse
This map shows the geographic impact of Frederic Besse'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 Frederic Besse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frederic Besse more than expected).
Fields of papers citing papers by Frederic Besse
This network shows the impact of papers produced by Frederic Besse. 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 Frederic Besse. The network helps show where Frederic Besse may publish in the future.
Co-authors
The 25 scholars most cited alongside Frederic Besse, 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 | 2013 | 123 | |
| 2 | Towards Conceptual Compression | 2016 | 45 |
| 3 | 2016 | 44 | |
| 4 | 2012 | 32 | |
| 5 | Shaping Belief States with Generative Environment Models for RL | 2019 | 7 |
| 6 | 2011 | 4 | |
| 7 | Learning to encode spatial relations from natural language | 2018 | 2 |
| 8 | Learning Dynamic State Abstractions for Model-Based Reinforcement Learning | 2018 | 1 |
About Frederic Besse
Frederic Besse is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Electrical and Electronic Engineering and Biophysics, having authored 8 papers that have together received 258 indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Reinforcement Learning in Robotics (2 papers), Advanced Vision and Imaging (2 papers), Data Stream Mining Techniques (1 paper), Cooperative Communication and Network Coding (1 paper), Image Processing and 3D Reconstruction (1 paper) and Artificial Intelligence in Games (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (208 citations), Media Technology (37 citations), Computer Graphics and Computer-Aided Design (11 citations), Artificial Intelligence (62 citations) and Aerospace Engineering (39 citations). Frederic Besse has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Andrew Fitzgibbon, Carsten Rother, Jan Kautz, Daan Wierstra, Karol Gregor, Danilo Jimenez Rezende, Ivo Danihelka, Max Jaderberg, Chrisantha Fernando and Marc Lanctot. Their work appears in journals such as International Journal of Computer Vision, 2011 IEEE/AIAA 30th Digital Avionics Systems Conference and Neural Information Processing Systems.
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.