Fabien Racapé

664 total citations
20 papers, 127 citations indexed

About

Fabien Racapé is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Fabien Racapé has authored 20 papers receiving a total of 127 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 10 papers in Signal Processing and 1 paper in Computer Networks and Communications. Recurrent topics in Fabien Racapé's work include Advanced Image Processing Techniques (13 papers), Video Coding and Compression Technologies (10 papers) and Advanced Vision and Imaging (7 papers). Fabien Racapé is often cited by papers focused on Advanced Image Processing Techniques (13 papers), Video Coding and Compression Technologies (10 papers) and Advanced Vision and Imaging (7 papers). Fabien Racapé collaborates with scholars based in United States, Germany and France. Fabien Racapé's co-authors include Hyomin Choi, Shan Liu, Xiang Li, Gagan Rath, Jani Lainema, Xin Zhao, Marie Babel, Hamed R. Tavakoli, Wei Wang and Werner Bailer and has published in prestigious journals such as IEEE Transactions on Circuits and Systems for Video Technology, Signal Processing Image Communication and Annals of Telecommunications.

In The Last Decade

Fabien Racapé

18 papers receiving 122 citations

Peers

Fabien Racapé
Zongyu Guo China
Linsen Song China
Debayan Deb United States
Hongfei Fan China
Runwen Hu China
Omer Bar-Tal Israel
Wenyan Wu China
Andreas Krutz Germany
Samik Banerjee India
Zongyu Guo China
Fabien Racapé
Citations per year, relative to Fabien Racapé Fabien Racapé (= 1×) peers Zongyu Guo

Countries citing papers authored by Fabien Racapé

Since Specialization
Citations

This map shows the geographic impact of Fabien Racapé'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 Fabien Racapé with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabien Racapé more than expected).

Fields of papers citing papers by Fabien Racapé

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fabien Racapé. 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 Fabien Racapé. The network helps show where Fabien Racapé may publish in the future.

Co-authorship network of co-authors of Fabien Racapé

This figure shows the co-authorship network connecting the top 25 collaborators of Fabien Racapé. A scholar is included among the top collaborators of Fabien Racapé 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 Fabien Racapé. Fabien Racapé is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Racapé, Fabien, et al.. (2024). Variable-Rate Learned Image Compression with Multi-Objective Optimization and Quantization-Reconstruction Offsets. arXiv (Cornell University). 193–202. 2 indexed citations
4.
Jiang, Wei, et al.. (2023). Face Restoration-Based Scalable Quality Coding for Video Conferencing. 206–211. 1 indexed citations
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Balcılar, Muhammet, et al.. (2023). Entropy Coding Improvement for Low-complexity Compressive Auto-encoders. 338–338. 2 indexed citations
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Jiang, Wei, Hyomin Choi, & Fabien Racapé. (2023). Adaptive Human-Centric Video Compression for Humans and Machines. 1121–1129. 7 indexed citations
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Choi, Hyomin, et al.. (2022). Frequency-aware Learned Image Compression for Quality Scalability. 1–5. 2 indexed citations
9.
Samek, Wojciech, Karsten Müller, Hamed R. Tavakoli, et al.. (2021). Overview of the Neural Network Compression and Representation (NNR) Standard. IEEE Transactions on Circuits and Systems for Video Technology. 32(5). 3203–3216. 33 indexed citations
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Racapé, Fabien, et al.. (2021). Low Rank Based End-to-End Deep Neural Network Compression. 1. 233–242. 3 indexed citations
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Racapé, Fabien, et al.. (2021). Bi-directional prediction for end-to-end optimized video compression. 3–3. 2 indexed citations
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Zhao, Xin, Shan Liu, Xiang Li, et al.. (2019). Wide Angular Intra Prediction for Versatile Video Coding. 53–62. 34 indexed citations
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Ya, Chen, et al.. (2017). Optimization of Sample Adaptive Band Offset in HEVC. 434–434. 3 indexed citations
15.
Bordes, Philippe, et al.. (2017). Adaptive Clipping in JEM. 33–41. 3 indexed citations
16.
Köppel, Martin, Dimitar Doshkov, Fabien Racapé, Patrick Ndjiki-Nya, & Thomas Wiegand. (2015). On the usage of the 2D-AR-model in texture completion scenarios with causal boundary conditions: A tutorial. Signal Processing Image Communication. 32. 106–120. 2 indexed citations
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Racapé, Fabien, Martin Köppel, Dimitar Doshkov, & Patrick Ndjiki-Nya. (2014). Adaptive 2D-AR framework for texture completion. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1180–1184. 1 indexed citations
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Racapé, Fabien, Dimitar Doshkov, Martin Köppel, & Patrick Ndjiki-Nya. (2014). 2D+t autoregressive framework for video texture completion. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 22. 4657–4661. 4 indexed citations
19.
Racapé, Fabien, Olivier Déforges, Marie Babel, & Dominique Thoreau. (2013). Spatiotemporal texture synthesis and region-based motion compensation for video compression. Signal Processing Image Communication. 28(9). 993–1005. 9 indexed citations
20.
Bosc, Emilie, et al.. (2013). A study of depth/texture bit-rate allocation in multi-view video plus depth compression. Annals of Telecommunications. 68(11-12). 615–625. 10 indexed citations

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.

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2026