Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Lucas Smaira"'
Autor:
Arjun Gopalan, Qin Cao, Chris Bregler, Georg Fritz Osang, Vaiva Imbrasaite, Jannis Bulian, Ricardo Abasolo Marino, Gabriel Ilharco, Roma Patel, Lucas Smaira, Gabriel Fedrigo Barcik, Afsaneh Hajiamin Shirazi, Felipe Ferreira, Jared Frank, Arsha Nagrani, Cesar Ilharco, Blaz Bratanic, Thomas Leung, Christina Funk
Publikováno v:
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: Tutorial Abstracts.
How information is created, shared and consumed has changed rapidly in recent decades, in part thanks to new social platforms and technologies on the web. With ever-larger amounts of unstructured and limited labels, organizing and reconciling informa
Autor:
Jean-Baptiste Alayrac, Andrew Zisserman, Lucas Smaira, Ivan Laptev, Josef Sivic, Antoine Miech
Publikováno v:
CVPR 2020-IEEE Conference on Computer Vision and Pattern Recognition
CVPR 2020-IEEE Conference on Computer Vision and Pattern Recognition, Jun 2020, Seattle / Virtual, United States
CVPR
CVPR 2020-IEEE Conference on Computer Vision and Pattern Recognition, Jun 2020, Seattle / Virtual, United States
CVPR
Annotating videos is cumbersome, expensive and not scalable. Yet, many strong video models still rely on manually annotated data. With the recent introduction of the HowTo100M dataset, narrated videos now offer the possibility of learning video repre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::29ec1d48b3d728bdba9d2fd617cb6ced
https://inria.hal.science/hal-01569540v2/file/miech17ICCV.pdf
https://inria.hal.science/hal-01569540v2/file/miech17ICCV.pdf
Autor:
Gunnar A. Sigurdsson, Lucas Smaira, Joao Carreira, Mateusz Malinowski, Aida Nematzadeh, Andrew Zisserman, Jean-Baptiste Alayrac, Phil Blunsom
Publikováno v:
CVPR
There are thousands of actively spoken languages on Earth, but a single visual world. Grounding in this visual world has the potential to bridge the gap between all these languages. Our goal is to use visual grounding to improve unsupervised word map
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::13c0357766a36d68461f0583e2d626c1
http://arxiv.org/abs/2003.05078
http://arxiv.org/abs/2003.05078