Institution · Valeo (France)
Most cited papers from Valeo (France)
What are the most cited papers from Valeo (France)?
The most cited paper from Valeo (France) is "Deep Reinforcement Learning framework for Autonomous Driving" (Ahmad EL Sallab, Mohammed Abdou, Etienne Perot et al., 2017), with 843 citations. Next come "Back-scattering correction and further extensions of Amiet's trailing-edge noise model. Part 1: theory" (457) and "Effects of home confinement on mental health and lifestyle behaviours during the COVID-19 outbreak: Insight from the ECLB-COVID19 multicenter study" (385).
Showing 50 of 61 papers. Every paper with more than 86 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | Deep Reinforcement Learning framework for Autonomous Driving Ahmad EL Sallab, Mohammed Abdou, Etienne Perot et al. · Electronic Imaging | 29 Jan 2017 | 843 |
| 2 | Back-scattering correction and further extensions of Amiet's trailing-edge noise model. Part 1: theory Michel Roger, Stéphane Moreau · Journal of Sound and Vibration | 17 Feb 2005 | 457 |
| 3 | Effects of home confinement on mental health and lifestyle behaviours during the COVID-19 outbreak: Insight from the ECLB-COVID19 multicenter study Achraf Ammar et al. · Biology of Sport | 26 Aug 2020 | 385 |
| 4 | StyleRig: Rigging StyleGAN for 3D Control Over Portrait Images Ayush Tewari, Mohamed A. Elgharib, Gaurav Bharaj et al. | Jun 2020 | 373 |
| 5 | DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion Arthur Douillard, Alexandre Ramé, Guillaume Couairon et al. · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) | Jun 2022 | 351 |
| 6 | Adversarial frontier stitching for remote neural network watermarking Erwan Le Merrer, Patrick Pérez, Gilles Trédan · Neural Computing and Applications | 17 Aug 2019 | 343 |
| 7 | Intra-Vehicle Networks: A Review Shane Tuohy, Martin Glavin, Ciarán Hughes et al. · IEEE Transactions on Intelligent Transportation Systems | 21 May 2014 | 320 |
| 8 | Sparse and Dense Data with CNNs: Depth Completion and Semantic Segmentation Maximilian Jaritz, Raoul de Charette, Émilie Wirbel et al. | Sep 2018 | 312 |
| 9 | Hierarchical Trajectory Planning of an Autonomous Car Based on the Integration of a Sampling and an Optimization Method Wontaek Lim, Seongjin Lee, Myoungho Sunwoo et al. · IEEE Transactions on Intelligent Transportation Systems | 2018 | 257 |
| 10 | xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation Maximilian Jaritz, Tuan-Hung Vu, Raoul de Charette et al. | Jun 2020 | 230 |
| 11 | TransCenter: Transformers With Dense Representations for Multiple-Object Tracking Yihong Xu, Yutong Ban, Guillaume Delorme et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence | 28 Nov 2022 | 224 |
| 12 | Modeling Magnetic Radiations of Electronic Circuits Using Near-Field Scanning Method Yolanda Vives‐Gilabert, Christian Arcambal, Anne Louis et al. · IEEE Transactions on Electromagnetic Compatibility | May 2007 | 224 |
| 13 | Explainability of Deep Vision-Based Autonomous Driving Systems: Review and Challenges Éloi Zablocki, Hedi Ben-younes, Patrick Pérez et al. · International Journal of Computer Vision | 7 Aug 2022 | 216 |
| 14 | A guide to defining and implementing protocols for the welfare assessment of laboratory animals: eleventh report of the BVAAWF/FRAME/RSPCA/UFAW Joint Working Group on Refinement Penny Hawkins, David B. Morton, Oliver H. P. Burman et al. · Laboratory Animals | 2 Dec 2010 | 212 |
| 15 | Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild Yang Xiao, Renaud Marlet · Lecture notes in computer science | 2020 | 208 |
| 16 | Deep Reinforcement Learning for Autonomous Driving: A Survey Bangalore Ravi Kiran, Ibrahim Sobh, Victor Talpaert et al. · IEEE Transactions on Intelligent Transportation Systems | 10 Feb 2021 | 205 |
| 17 | End-to-End Race Driving with Deep Reinforcement Learning Maximilian Jaritz, Raoul de Charette, Marin Toromanoff et al. | May 2018 | 198 |
| 18 | A Comparative Study of Real-Time Semantic Segmentation for Autonomous Driving Mennatullah Siam, Mostafa Gamal, Moemen Abdel-Razek et al. | Jun 2018 | 182 |
| 19 | Globally altered sleep patterns and physical activity levels by confinement in 5056 individuals: ECLB COVID-19 international online survey Khaled Trabelsi et al. · Biology of Sport | 2021 | 178 |
| 20 | Multi-View PointNet for 3D Scene Understanding Maximilian Jaritz, Jiayuan Gu, Hao Su | Oct 2019 | 173 |
| 21 | Addressing Failure Prediction by Learning Model Confidence Corbi\`ere, Charles, Nicolas Thome, Avner Bar‐Hen et al. · arXiv (Cornell University) | Oct 2019 | 172 |
| 22 | Broadband Self Noise from Loaded Fan Blades Michel Roger, Stéphane Moreau · AIAA Journal | Mar 2004 | 167 |
| 23 | A combined multiphase electric drive and fast battery charger for Electric Vehicles L. Sousa, Benedicte Silvestre, Boris Bouchez | Sep 2010 | 166 |
| 24 | CARRADA Dataset: Camera and Automotive Radar with Range- Angle- Doppler Annotations Arthur Ouaknine, Alasdair Newson, Julien Rebut et al. | 10 Jan 2021 | 159 |
| 25 | Back-scattering correction and further extensions of Amiet's trailing-edge noise model. Part II: Application Stéphane Moreau, Michel Roger · Journal of Sound and Vibration | 31 Jan 2009 | 153 |
| 26 | PIE Ayush Tewari, Mohamed A. Elgharib, B R Mallikarjun et al. · ACM Transactions on Graphics | 27 Nov 2020 | 151 |
| 27 | Cooled EGR for a Turbo SI Engine to Reduce Knocking and Fuel Consumption Sébastien Potteau, Philippe Lutz, S. Leroux et al. · SAE technical papers on CD-ROM/SAE technical paper series | 29 Oct 2007 | 151 |
| 28 | POCO: Point Convolution for Surface Reconstruction Alexandre Boulch, Renaud Marlet · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) | Jun 2022 | 146 |
| 29 | Analysis of Flow Conditions in Freejet Experiments for Studying Airfoil Self-Noise Stéphane Moreau, M. Henner, Gianluca Iaccarino et al. · AIAA Journal | Oct 2003 | 142 |
| 30 | Effect of Airfoil Aerodynamic Loading on Trailing Edge Noise Sources Stéphane Moreau, Michel Roger · AIAA Journal | 2005 | 141 |
| 31 | Competing Broadband Noise Mechanisms in Low-Speed Axial Fans Stéphane Moreau, Michel Roger · AIAA Journal | 19 Dec 2006 | 140 |
| 32 | RangeViT: Towards Vision Transformers for 3D Semantic Segmentation in Autonomous Driving Angelika Ando, Spyros Gidaris, Andrei Bursuc et al. | Jun 2023 | 138 |
| 33 | Méthodes de recherche en management Florence Allard‐Poesi, Véronique Perret · Dunod eBooks | 2 Jul 2014 | 131 |
| 34 | Effect of Angle of Attack and Airfoil Shape on Turbulence-Interaction Noise Stéphane Moreau, Michel Roger | 23 May 2005 | 130 |
| 35 | Raw High-Definition Radar for Multi-Task Learning Julien Rebut, Arthur Ouaknine, Waqas Malik et al. · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) | Jun 2022 | 121 |
| 36 | ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation Tuan-Hung Vu, Himalaya Jain, Maxime Bucher et al. | Jun 2019 | 121 |
| 37 | Study of the microstructure resulting from brazed aluminium materials used in heat exchangers J. Lacaze, S. Tierce, M.‐C. Lafont et al. · Materials Science and Engineering A | 26 Oct 2005 | 121 |
| 38 | A comparison of EBSD based strain indicators for the study of Fe-3Si steel subjected to cyclic loading Claire Schayes, Jérémie Bouquerel, J. Vogt et al. · Materials Characterization | 25 Mar 2016 | 114 |
| 39 | Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data Corentin Sautier, Gilles Puy, Spyros Gidaris et al. · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) | Jun 2022 | 113 |
| 40 | LES Prediction of Wall-Pressure Fluctuations and Noise of a Low-Speed Airfoil Meng Wang, Stéphane Moreau, Gianluca Iaccarino et al. · International Journal of Aeroacoustics | 22 Dec 2008 | 112 |
| 41 | A Direct Digital Technique Implementation of General Discontinuous Pulse Width Modulation Strategy Dung The Nguyen, J. Hobraiche, Nicolas Patin et al. · IEEE Transactions on Industrial Electronics | 3 Jan 2011 | 110 |
| 42 | Double-Phase High-Efficiency, Wide Load Range High- Voltage/Low-Voltage LLC DC/DC Converter for Electric/Hybrid Vehicles Gang Yang, Patrick Dubus, Daniel Sadarnac · IEEE Transactions on Power Electronics | 4 Jun 2014 | 110 |
| 43 | Visual SLAM for Automated Driving: Exploring the Applications of Deep Learning Stefan Milz, Georg Arbeiter, Christian Witt et al. | Jun 2018 | 109 |
| 44 | CB2 receptors as new therapeutic targets for liver diseases Sophie Lotersztajn, Fatima Teixeira-Clerc, B Julien et al. · British Journal of Pharmacology | 22 Oct 2007 | 108 |
| 45 | Localizing Objects with Self-Supervised Transformers and no Labels Oriane Siméoni, Gilles Puy, Huy V. Vo et al. · arXiv (Cornell University) | 29 Sep 2021 | 107 |
| 46 | Addressing Failure Prediction by Learning Model Confidence Charles Corbière, Nicolas Thome, Avner Bar‐Hen et al. · arXiv (Cornell University) | Oct 2019 | 106 |
| 47 | Neural monocular 3D human motion capture with physical awareness Soshi Shimada, Vladislav Golyanik, Weipeng Xu et al. · ACM Transactions on Graphics | 19 Jul 2021 | 105 |
| 48 | Ambiguity in Performance Measurement: A Theoretical Approach to Organisational Uses of Performance Measurement Jarmo Vakkuri, Pentti Meklin · Financial Accountability and Management | 4 Jul 2006 | 105 |
| 49 | Hybrid-Excited Doubly Salient Synchronous Machine With Permanent Magnets Between Adjacent Salient Stator Poles Ibrahim A. A. Afinowi, Z. Q. Zhu, Yongtao Guan et al. · IEEE Transactions on Magnetics | 18 Jun 2015 | 105 |
| 50 | What to Hide from Your Students: Attention-Guided Masked Image Modeling Ioannis Kakogeorgiou, Spyros Gidaris, Bill Psomas et al. · Lecture notes in computer science | 2022 | 100 |
Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for an institution when any of its authors gave it as an affiliation; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.