Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Thibaut Lavril"'
Autor:
Lina Mezghani, Sainbayar Sukhbaatar, Thibaut Lavril, Oleksandr Maksymets, Dhruv Batra, Piotr Bojanowski, Karteek Alahari
Publikováno v:
IROS-IEEE/RSJ International Conference on Intelligent Robots and Systems
IROS-IEEE/RSJ International Conference on Intelligent Robots and Systems, Oct 2022, Kyoto, Japan
HAL
IROS-IEEE/RSJ International Conference on Intelligent Robots and Systems, Oct 2022, Kyoto, Japan
HAL
In this work, we address the problem of image-goal navigation in the context of visually-realistic 3D environments. This task involves navigating to a location indicated by a target image in a previously unseen environment. Earlier attempts, includin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::addb3e98f000da27f8491a2fb9633b2e
https://inria.hal.science/hal-03110875
https://inria.hal.science/hal-03110875
Autor:
Brandon Wood, Lowik Chanussot, Weihua Hu, Zachary W. Ulissi, Muhammed Shuaibi, Siddharth Goyal, Devi Parikh, Morgane Riviere, Thibaut Lavril, Anuroop Sriram, C. Lawrence Zitnick, Kevin Tran, Aini Palizhati, Javier Heras-Domingo, Junwoong Yoon, Caleb Ho, Abhishek Das
Catalyst discovery and optimization is key to solving many societal and energy challenges including solar fuels synthesis, long-term energy storage, and renewable fertilizer production. Despite considerable effort by the catalysis community to apply
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea5ff843439f29f4796da51e2972b109
http://arxiv.org/abs/2010.09990
http://arxiv.org/abs/2010.09990
Autor:
Thibault Gisselbrecht, Mathieu Poumeyrol, Thibaut Lavril, Alice Coucke, David Leroy, Mohammed Chlieh
Publikováno v:
ICASSP
We explore the application of end-to-end stateless temporal modeling to small-footprint keyword spotting as opposed to recurrent networks that model long-term temporal dependencies using internal states. We propose a model inspired by the recent succ
Publikováno v:
ICASSP
We propose a practical approach based on federated learning to solve out-of-domain issues with continuously running embedded speech-based models such as wake word detectors. We conduct an extensive empirical study of the federated averaging algorithm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::88f7541a8cbe2e0c27631610f3aa2374
http://arxiv.org/abs/1810.05512
http://arxiv.org/abs/1810.05512
Autor:
Theodore Bluche, Alice Coucke, Adrien Ball, David Leroy, Joseph Dureau, Alexandre Caulier, Clément Doumouro, Thibault Gisselbrecht, Thibaut Lavril, Francesco Caltagirone, Alaa Saade, Maël Primet
Publikováno v:
EMC2@NeurIPS
We consider the problem of performing Spoken Language Understanding (SLU) on small devices typical of IoT applications. Our contributions are twofold. First, we outline the design of an embedded, private-by-design SLU system and show that it has perf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0a4d609986873ea4561bcc9d1c223c0d
Publikováno v:
Journal of Air Transport Management. 26:50-54
This paper measures the willingness-to-pay of passengers for air-rail intermodal products. Several studies have been conducted in Europe to identify ways of improvement for a wider use of air-rail intermodal products. Different solutions have been co