Raoul de Charette

2.0k total citations · 1 hit paper
23 papers, 816 citations indexed

About

Raoul de Charette is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Raoul de Charette has authored 23 papers receiving a total of 816 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 4 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Raoul de Charette's work include Advanced Vision and Imaging (8 papers), Computer Graphics and Visualization Techniques (4 papers) and Image Enhancement Techniques (4 papers). Raoul de Charette is often cited by papers focused on Advanced Vision and Imaging (8 papers), Computer Graphics and Visualization Techniques (4 papers) and Image Enhancement Techniques (4 papers). Raoul de Charette collaborates with scholars based in France, United States and United Kingdom. Raoul de Charette's co-authors include Fawzi Nashashibi, Émilie Wirbel, Maximilian Jaritz, Tuan-Hung Vu, Patrick Pérez, Xavier Perrotton, Anne Verroust-Blondet, Vicente Milanés, Carlos Flores and Pierre Merdrignac and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Raoul de Charette

22 papers receiving 799 citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

MonoScene: Monocular 3D Semantic Scene Completion

2022 131 citations Raoul de Charette et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) profile →

Peers

Countries citing papers authored by Raoul de Charette

Since Specialization

Citations

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

Fields of papers citing papers by Raoul de Charette

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Raoul de Charette. 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 Raoul de Charette. The network helps show where Raoul de Charette may publish in the future.

Co-authorship network of co-authors of Raoul de Charette

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	LiDPM: Rethinking Point Diffusion for Lidar Scene Completion 2025 ·Tetiana Martyniuk, Gilles Puy, Alexandre Boulch, Renaud Marlet, Raoul de Charette	0
2	Material Palette: Extraction of Materials from a Single Image 2024 ·(unknown), (unknown), Raoul de Charette	6
3	A Simple Recipe for Language-Guided Domain Generalized Segmentation 2024 ·(unknown), Tuan-Hung Vu, Andrei Bursuc, Patrick Pérez, Raoul de Charette	8
4	PaSCo: Urban 3D Panoptic Scene Completion with Uncertainty Awareness 2024 ·(unknown), Angela Dai, Raoul de Charette	10
5	Physics-Informed Guided Disentanglement in Generative Networks 2023 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·(unknown), Pietro Cerri, Raoul de Charette	5
6	Cross-task Attention Mechanism for Dense Multi-task Learning 2023 ·2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) ·(unknown), Tuan-Hung Vu, Raoul de Charette	19
7	3D Semantic Scene Completion: A Survey 2022 ·International Journal of Computer Vision ·(unknown), Raoul de Charette, Anne Verroust-Blondet	60
8	MonoScene: Monocular 3D Semantic Scene Completion breakdown → 2022 ·2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) ·(unknown), Raoul de Charette	131
9	Leveraging Local Domains for Image-to-Image Translation 2022 ·(unknown), (unknown), Massimo Bertozzi, Raoul de Charette	1
10	xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation 2020 ·Maximilian Jaritz, Tuan-Hung Vu, Raoul de Charette, Émilie Wirbel, Patrick Pérez	150
11	LMSCNet: Lightweight Multiscale 3D Semantic Completion 2020 ·arXiv (Cornell University) ·(unknown), Raoul de Charette, Anne Verroust-Blondet	5
12	Physics-Based Rendering for Improving Robustness to Rain 2019 ·arXiv (Cornell University) ·(unknown), Jean‐François Lalonde, Raoul de Charette	4
13	3D Surface Reconstruction from Voxel-based Lidar Data 2019 ·arXiv (Cornell University) ·(unknown), Raoul de Charette, Anne Verroust-Blondet	1
14	WiFi Fingerprinting Localization for Intelligent Vehicles in Car Park 2018 ·HAL (Le Centre pour la Communication Scientifique Directe) ·Van‐Dinh Nguyen, Raoul de Charette, Trung‐Kien Dao, Eric Castelli, (unknown)	1
15	Sparse and Dense Data with CNNs: Depth Completion and Semantic Segmentation 2018 ·HAL (Le Centre pour la Communication Scientifique Directe) ·Maximilian Jaritz, Raoul de Charette, Émilie Wirbel, Xavier Perrotton, Fawzi Nashashibi	8
16	Sparse and Dense Data with CNNs: Depth Completion and Semantic Segmentation 2018 ·arXiv (Cornell University) ·Maximilian Jaritz, Raoul de Charette, Émilie Wirbel, Xavier Perrotton, Fawzi Nashashibi	182
17	A Cooperative Car-Following/Emergency Braking System With Prediction-Based Pedestrian Avoidance Capabilities 2018 ·IEEE Transactions on Intelligent Transportation Systems ·Carlos Flores, Pierre Merdrignac, Raoul de Charette, (unknown), Vicente Milanés, Fawzi Nashashibi	52
18	Fast reactive control for illumination through rain and snow 2012 ·Figshare ·Raoul de Charette, Robert Tamburo, Peter Barnum, Anthony Rowe, Takeo Kanade, Srinivasa G. Narasimhan	23
19	Real time visual traffic lights recognition based on Spot Light Detection and adaptive traffic lights templates 2009 ·Raoul de Charette, Fawzi Nashashibi	18
20	Traffic light recognition using image processing compared to learning processes 2009 ·Raoul de Charette, Fawzi Nashashibi	83

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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