Pascal Fua

56.7k citations
398 papers · 29.8k indexed · 18 hit papers · h-index 73

Pascal Fua

389 papers receiving 28.4k citations

Hit Papers

Context-Aware Crowd Counting46220052026201220192.0k4.0k6.0k

Peers

Pascal Fua
Comparison fields: 5 of 199
  • Computer Vision and Pattern Recognition 22.7k
  • Media Technology 3.2k
  • Geology 2.0k
  • Aerospace Engineering 8.7k
  • Computer Graphics and Computer-Aided Design 994
Replace Aditya Khosla with:
Aditya Khosla United States
Berthold K. P. Horn United States
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Richard Hartley Australia
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Pascal Fua relative to Aditya Khosla United States Aditya Khosla's profile →
Citations per field
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Aditya Khosla · 1×
Citations per year

Countries citing papers authored by Pascal Fua

Since Specialization
Citations

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

Fields of papers citing papers by Pascal Fua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Pascal Fua, 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 Pascal Fua Line = papers co-authored together Pascal Fua links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20240
4 20243
5 20235
6 202316
7 20229
8 20218
9 202129
10
Context-Aware Crowd Countingbreakdown →
2019462
11 201919
12 201965
13 201914
14 2017147
15 201643
16
Kullback-Leibler proximal variational inference
20158
17
Large occlusion completion using normal maps
20101
18
Monocular Model-based 3d Tracking of Rigid Objects (Foundations and Trends in Computer Graphics and Vision(R))
200523
19 200019
20
Local and Global Skeleton Fitting Techniques for Optical Motion Capture , Modeling and Motion Capture Techniques for Virtual Environments
199823

About Pascal Fua

Pascal Fua is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Structural Biology, Biophysics and Geology, having authored 398 papers that have together received 29.8k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (152 papers), Robotics and Sensor-Based Localization (98 papers), Advanced Image and Video Retrieval Techniques (72 papers), Human Pose and Action Recognition (64 papers), Video Surveillance and Tracking Methods (60 papers), 3D Shape Modeling and Analysis (60 papers), Computer Graphics and Visualization Techniques (49 papers) and Medical Image Segmentation Techniques (44 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (22.7k citations), Media Technology (3.2k citations), Geology (2.0k citations), Aerospace Engineering (8.7k citations) and Computer Graphics and Computer-Aided Design (994 citations). Pascal Fua has collaborated with scholars based in Switzerland, United States and France. Frequent co-authors include Vincent Lepetit, Aurélien Lucchi, Radhakrishna Achanta, Kevin Smith, Sabine Süsstrunk, Anil Shaji, Francesc Moreno-Noguer, Mathieu Salzmann, François Fleuret and Engin Tola. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Computer Vision and Image Understanding, International Journal of Computer Vision, Machine Vision and Applications and IEEE Transactions on Medical Imaging.

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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