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Research Artificial Intelligence for robotics. Publications Browse over 30 years of science. Blog Facts, opinions and stories. Careers Join us to pave the future with passion. DUSt3R READ MORE 3D RECONSTRUCTION MODELS MADE EASY NAVER LABS EUROPE IS THE BIGGEST INDUSTRIAL RESEARCH LAB IN ARTIFICIAL INTELLIGENCE IN FRANCE. Whole Body Human Mesh Recovery READ MORE WHOLE-BODY HUMAN MESH RECOVERY OF MULTIPLE PERSONS FROM A SINGLE IMAGE NEWS Twitter @naverlabseurope LinkedIn NAVER LABS Europe The Twelfth International Conference on Learning Representations (ICLR) 2024 7 th - 11 th May 2024 ICLR 2024: 6 accepted papers including one spotlight. NAVER has 20 papers this year with 3 spotlights. 7 May 2024 IEEE International Conference on Robotics and Automation (ICRA) 2024 13 th - 17 th May 2024. 3 accepted papers 13 May 2024 The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024 17 th – 21 st June 2024. 6 accepted papers at the conference, a workshop paper and co-organising a workshop 17 June 2024 RECENT PUBLICATIONS Unbiased learning to rank meets reality: lessons from Baidu’s large-scale search dataset Philipp Hager, Romain Deffayet, Jean-Michel Renders, Onno Zoeter, Maarten de Rijke 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’24), Washington, USA, 14-18 July, 2024 DUSt3R: Geometric 3D Vision Made Easy Shuzhe Wang, Vincent Leroy, Yohann Cabon, Boris Chidlovskii, Jérome Revaud The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), Seattle, USA, 17-21 June, 2024 Cross-view and cross-pose completion for 3D human understanding Matthieu Armando, Salma Galaaoui, Fabien Baradel, Thomas Lucas, Vincent Leroy, Romain Brégier, Philippe Weinzaepfel, Gregory Rogez The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), Seattle, USA, 17-21 June, 2024 Task-conditioned adaptation of visual features in multi-task policy learning Pierre Marza, Laetitia Matignon, Olivier Simonin, Christian Wolf The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), Seattle, USA, 17-21 June, 2024 BLOG NAVER LABS Europe @ICLR 2024 An overview of the 6 papers we're presenting at ICLR in Vienna, Austria. In all, NAVER has 20 accepted papers, of which three are spotlights. NAVER LABS Europe at ICASSP 2024 The work we're presenting this year in multi-task, multimodal and multilingual speech processing technologies including some results made available to the community. We’re also co-organizing the popular Self-supervision in Audio Speech and Beyond (SASB) workshop. 3D reconstruction models made easy Dense and Unconstrained Stereo 3D Reconstruction (DUSt3R) is a novel breakthrough approach in 3D reconstruction that works without the camera parameters required by traditional processes. Reset your cookies consent Accept all cookies Personalise cookies NAVER Corp. NAVER LABS Korea Privacy Contact © 2024 NAVER LABS Europe NAVER FRANCE Gender Equality 2024 Details on the gender equality index score 2024 (related to year 2023) for NAVER France of 87/100. Difference in female/male salary: 34/40 points Difference in salary increases female/male: 35/35 points Salary increases upon return from maternity leave: Non calculable Number of employees in under-represented gender in 10 highest salaries: 5/10 points The NAVER France targets set in 2022 (Indicator n°1: +2 points in 2024 and Indicator n°4: +5 points in 2025) have been achieved. ————— Index NAVER France de l’égalité professionnelle entre les femmes et les hommes pour l’année 2024 au titre des données 2023 : 87/100 Détail des indicateurs : Les écarts de salaire entre les femmes et les hommes: 34 sur 40 points Les écarts des augmentations individuelles entre les femmes et les hommes : 35 sur 35 points Toutes les salariées augmentées revenant de congé maternité : Incalculable Le nombre de salarié du sexe sous-représenté parmi les 10 plus hautes rémunérations : 5 sur 10 points Les objectifs de progression de l’Index définis en 2022 (Indicateur n°1 : +2 points en 2024 et Indicateur n°4 : +5 points en 2025) ont été atteints. x NAVER FRANCE Gender Equality 2023 Details on the gender equality index score 2024 (related to year 2023) for NAVER France of 87/100. 1. Difference in female/male salary: 34/40 points 2. Difference in salary increases female/male: 35/35 points 3. Salary increases upon return from maternity leave: Non calculable 4. Number of employees in under-represented gender in 10 highest salaries: 5/10 points The NAVER France targets set in 2022 (Indicator n°1: +2 points in 2024 and Indicator n°4: +5 points in 2025) have been achieved. ——————- Index NAVER France de l’égalité professionnelle entre les femmes et les hommes pour l’année 2024 au titre des données 2023 : 87/100 Détail des indicateurs : 1. Les écarts de salaire entre les femmes et les hommes: 34 sur 40 points 2. Les écarts des augmentations individuelles entre les femmes et les hommes : 35 sur 35 points 3. Toutes les salariées augmentées revenant de congé maternité : Incalculable 4. Le nombre de salarié du sexe sous-représenté parmi les 10 plus hautes rémunérations : 5 sur 10 points Les objectifs de progression de l’Index définis en 2022 (Indicateur n°1 : +2 points en 2024 et Indicateur n°4 : +5 points en 2025) ont été atteints. ×Research Code and dataNews Seminars Events Collaboration Awards Blog Careers Publications Research Blog Careers Publications NAVER LABS Europe 6-8 chemin de Maupertuis 38240 Meylan France Contact x VISION Perception to help robots understand and interact with the environment. Visual perception is a necessary part of any intelligent system that is meant to interact with the world. Robots need to perceive the structure, the objects, and people in their environment to better understand the world and perform the tasks they are assigned. Our research combines expertise in visual representation learning, self-supervised learning and human behaviour understanding to build AI components that help robot understand and navigate in their 3D environment, detect and interact with surrounding objects and people and continuously adapt themselves when deployed in new environments. × INTERACTION Equip robots to interact safely with humans, other robots and systems. For a robot to be useful it must be able to represent its knowledge of the world, share what it learns and interact with other agents, in particular humans. Our research combines expertise in human-robot interaction, natural language processing, speech, information retrieval, data management and low code/no code programming to build AI components that will help next-generation robots perform complex real-world tasks. These components will help robots interact safely with humans and their physical environment, other robots and systems, represent and update their world knowledge and share it with the rest of the fleet. × ACTION Providing embodied agents with sequential decision-making capabilities to safely execute complex tasks in dynamic environments. To make robots autonomous in real-world everyday spaces, they should be able to learn from their interactions within these spaces, how to best execute tasks specified by non-expert users in a safe and reliable way. To do so requires sequential decision-making skills that combine machine learning, adaptive planning and control in uncertain environments as well as solving hard combinatorial optimisation problems. Our research combines expertise in reinforcement learning, computer vision, robotic control, sim2real transfer, large multimodal foundation models and neural combinatorial optimisation to build AI-based architectures and algorithms to improve robot autonomy and robustness when completing everyday complex tasks in constantly changing environments. × Action To make robots autonomous in real-world everyday spaces, they should be able to learn from their interactions within these spaces, how to...