Fréderic Dufaux

6.3k citations
187 papers · 3.7k indexed · h-index 30

Fréderic Dufaux

181 papers receiving 3.5k citations

Peers

Fréderic Dufaux
Comparison fields: 5 of 106
  • Computer Vision and Pattern Recognition 3.3k
  • Signal Processing 1.2k
  • Media Technology 627
  • Computer Graphics and Computer-Aided Design 72
  • Acoustics and Ultrasonics 10
Replace Peter Schelkens with:
Peter Schelkens Belgium
Oscar C. Au Hong Kong
Xiaoyan Sun China
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Hitoshi Kiya Japan
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Citations per field
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Citations per year

Countries citing papers authored by Fréderic Dufaux

Since Specialization
Citations

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

Fields of papers citing papers by Fréderic Dufaux

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Fréderic Dufaux, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Fréderic Dufaux Line = papers co-authored together Fréderic Dufaux links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20247
2 20246
3 20233
4 20225
5 202114
6 202013
7 20201
8 20201
9 20201
10 201918
11 201915
12
Integral images compression scheme based on view extraction
20151
13
Emerging Technologies for 3D Video
20130
14
Studying Error Resilience Performance for a Feedback Channel Based Transform Domain Wyner-Ziv Video Codec
200720
15
Motion-compensated wavelet transform coding
19943
16
A new motion field enhancement technique for video coding
19942
17 19944
18
Hybrid video coding based on an efficient subband/wavelet transform and arithmetic coding for generic applications
19931
19
Motion field segmentation and coding by means of vector quantization
19932
20 19914

About Fréderic Dufaux

Fréderic Dufaux is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computer Graphics and Computer-Aided Design, having authored 187 papers that have together received 3.7k indexed citations. Recurring topics across this work include Video Coding and Compression Technologies (74 papers), Advanced Vision and Imaging (60 papers), Advanced Data Compression Techniques (57 papers), Image and Video Quality Assessment (34 papers), Advanced Steganography and Watermarking Techniques (28 papers), Advanced Image Processing Techniques (25 papers), Image and Signal Denoising Methods (21 papers) and Image Enhancement Techniques (21 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.3k citations), Signal Processing (1.2k citations) and Media Technology (627 citations). Fréderic Dufaux has collaborated with scholars based in France, Switzerland and United States. Frequent co-authors include Touradj Ebrahimi, Stefan Winkler, Pina Marziliano, F. Moscheni, Giuseppe Valenzise, Mourad Ouaret, F. Simone, Béatrice Pesquet‐Popescu, Gary J. Sullivan and Stefano Tubaro. Their work appears in journals such as Signal Processing Image Communication, IEEE Transactions on Broadcasting, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Signal Processing Magazine and IEEE Transactions on Image Processing.

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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