Patrick Pérez

14.9k citations
136 papers · 6.3k indexed · 2 hit papers · h-index 39

Patrick Pérez

131 papers receiving 5.9k citations

Hit Papers

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Peers

Patrick Pérez
Comparison fields: 5 of 149
  • Computer Vision and Pattern Recognition 4.4k
  • Media Technology 644
  • Artificial Intelligence 1.8k
  • Computer Graphics and Computer-Aided Design 179
  • Aerospace Engineering 1.0k
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Lingxi Xie China
Tong He China
Jenq–Neng Hwang United States
David Suter Australia
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Patrick Bouthémy France
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Citations per field
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Citations per year

Countries citing papers authored by Patrick Pérez

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Pérez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20246
3 202265
4 202191
5 202144
6 20210
7 2020150
8
Addressing Failure Prediction by Learning Model Confidence
2019118
9
The Semantic Paintbrush
20152
10
The AXES research video search system
20145
11
Distributed Non-convex ADMM-based inference in large-scale random fields.
201414
12
EPML: Expanded Parts based Metric Learning for Occlusion Robust Face Verification
20142
13
Geodesic Image and Video Editing
201130
14 2005257
15 200186
16 20016
17 2000196
18
Unsupervised multispectral segmentation of SPOT images applied to nautical cartography.
19991
19
Markov Random Fields and Images
199855
20
Restriction of a Markov random field on a graph and multiresolution image analysis
19947

About Patrick Pérez

Patrick Pérez is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence, having authored 136 papers that have together received 6.3k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (25 papers), Advanced Image and Video Retrieval Techniques (19 papers), Video Surveillance and Tracking Methods (14 papers), Bayesian Methods and Mixture Models (13 papers), Robotics and Sensor-Based Localization (12 papers), Target Tracking and Data Fusion in Sensor Networks (11 papers), Advanced Neural Network Applications (11 papers) and Domain Adaptation and Few-Shot Learning (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (4.4k citations), Media Technology (644 citations) and Artificial Intelligence (1.8k citations). Patrick Pérez has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include J. Vermaak, Carine Hue, J.-P. Le Cadre, H. Jegou, Jorge Sánchez, Matthijs Douze, C. Schmid, Florent Perronnin, Patrick Bouthémy and Andrew Blake. Their work appears in journals such as IEEE Transactions on Image Processing, ACM Transactions on Graphics, IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and Computer Vision and Image Understanding.

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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