Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Jeff Donahue"'
Autor:
Francois Rigaut, Gabriel Perez, Cristian Moreno, Vanessa Montes, Lindsay Magill, Joy Chavez, Christine Cunningham, Paul Hirst, Michiel van der Hoeven, Pablo Díaz, Marcos A. van Dam, Allen K. Hankla, Vincent Garrel, Paul Collins, Rodrigo Carrasco, Morten Andersen, Scot Kleinman, Constanza Araujo, Emmanuel Chirre, Gaetano Sivo, R. G. M. Rutten, Angelic Ebbers, Jeff Donahue, Gianluca Lombardi, Benoit Neichel, Eduardo Marin, Ariel Lopez, Manuel Lazo, Vicente Vergara
Publikováno v:
Adaptive Optics Systems VI
Adaptive Optics Systems VI, Jun 2018, Austin, United States. pp.25, ⟨10.1117/12.2312090⟩
Adaptive Optics Systems VI, Jun 2018, Austin, United States. pp.25, ⟨10.1117/12.2312090⟩
Adaptive Optics (AO) systems aim at detecting and correcting for optical distortions induced by atmospheric turbulences. The Gemini Multi Conjugated AO System GeMS is operational and regularly used for science observations since 2013 delivering close
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::af79f6176e58a389366c211bdc0f3b57
https://hal.archives-ouvertes.fr/hal-02361151
https://hal.archives-ouvertes.fr/hal-02361151
Autor:
Paul Collins, Morten Andersen, Brian Chinn, Emmanuel Chirre, Nicholas Herrald, Rodolfo Angeloni, Gabriel Perez, Vanessa Montes, Vincente Vergara, Paul Hirst, Jeff Donahue, Francois Rigaut, Pablo Díaz, Benoit Neichel, Gaetano Sivo, Marcos A. van Dam, Celine d'Orgeville, Manuel Lazo, Ian Price, Rodrigo Carrasco, Cristian Moreno, Pedro Gigoux, Carlos Figueroa, R. G. M. Rutten, Angelic Ebbers, Francis Bennet, Eduardo Marin, Vincent Garrel, Eduardo Toro
Publikováno v:
Scopus-Elsevier
Based on observations obtained at the Gemini Observatory, which is operated by the Association of Universities for Research in Astronomy, Inc., under a cooperative agreement with the NSF on behalf of the Gemini partnership: the National Science Found
Autor:
Trevor Darrell, Dmitry Kislyuk, Eric Tzeng, Michael Feng, Yushi Jing, Andrew Zhai, Jeff Donahue, Yue Li Du
Publikováno v:
WWW (Companion Volume)
Over the past three years Pinterest has experimented with several visual search and recommendation systems, from enhancing existing products such as Related Pins (2014), to powering new products such as Similar Looks (2015), Flashlight (2016), and Le
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::581bc545b1514cb484c9febef153bee2
Publikováno v:
International Journal of Computer Vision. 109:28-41
1We address the problem of visual domain adaptation for transferring object models from one dataset or visual domain to another. We introduce a unified flexible model for both supervised and semi-supervised learning that allows us to learn transforma
Autor:
Caroline Kulcsár, Cristian Moreno, Vincent Garrel, Vanessa Montes, Pedro Gigoux, Benoit Neichel, Chad Trujillo, Jean-Marc Conan, Rémy Juvénal, Jeff Donahue, Marcos A. van Dam, Gaetano Sivo, Rodrigo Carrasco, Henri-François Raynaud, Lucie Leboulleux, Cyril Petit, Eduardo Marin, William Rambold
Publikováno v:
Proc. SPIE
SPIE Astronomical Telescopes + Instrumentation, Adaptive Optics Systems V
SPIE Astronomical Telescopes + Instrumentation, Adaptive Optics Systems V, Oct 2016, Edinburgh, United Kingdom. pp.99094Y, ⟨10.1117/12.2233191⟩
SPIE Proceedings
SPIE Astronomical Telescopes + Instrumentation, Adaptive Optics Systems V, SPIE, Oct 2016, Edimbourg, United Kingdom. pp.99094Y, ⟨10.1117/12.2233191⟩
SPIE Astronomical Telescopes + Instrumentation, Adaptive Optics Systems V
SPIE Astronomical Telescopes + Instrumentation, Adaptive Optics Systems V, Oct 2016, Edinburgh, United Kingdom. pp.99094Y, ⟨10.1117/12.2233191⟩
SPIE Proceedings
SPIE Astronomical Telescopes + Instrumentation, Adaptive Optics Systems V, SPIE, Oct 2016, Edimbourg, United Kingdom. pp.99094Y, ⟨10.1117/12.2233191⟩
International audience; AO systems aim at detecting and correcting for optical distortions induced by atmospheric turbulences. They are also extremely sensitive to extraneous sources of perturbation such as vibrations, which degrade the performance.
Autor:
Subhashini Venugopalan, Kate Saenko, Sergio Guadarrama, Trevor Darrell, Marcus Rohrbach, Jeff Donahue, Lisa Anne Hendricks
Publikováno v:
CVPR
Models based on deep convolutional networks have dominated recent image interpretation tasks; we investigate whether models which are also recurrent, or "temporally deep", are effective for tasks involving sequences, visual and otherwise. We develop
Autor:
Vanessa Montes, S. Mark Ammons, Constanza Araujo Hauck, Francois Rigaut, Celine d'Orgeville, Rémy Juvénal, Manuel Lazo, Caroline Kulcsár, Pedro Gigoux, Eduardo Marin, Gaetano Sivo, Jeff Donahue, Marcos A. van Dam, Chadwick A. Trujillo, Vincent Garrel, Benoit Neichel, Eleazar R. Carrasco Damele, Cristian Moreno
Publikováno v:
SPIE Proceedings
SPIE Astronomical Telescopes + Instrumentation, Adaptive Optics Systems V
SPIE Astronomical Telescopes + Instrumentation, Adaptive Optics Systems V, Jul 2016, Edinburgh, United Kingdom. pp.99092F, ⟨10.1117/12.2233747⟩
SPIE Astronomical Telescopes + Instrumentation, Adaptive Optics Systems V
SPIE Astronomical Telescopes + Instrumentation, Adaptive Optics Systems V, Jul 2016, Edinburgh, United Kingdom. pp.99092F, ⟨10.1117/12.2233747⟩
GeMS, the Gemini South MCAO System, has now been in operation for 3 years with the near infrared imager GSAOI. We first review the performance obtained by the system, the science cases and the current operational model. In the very near future, GeMS
Publikováno v:
CVPR
We present an unsupervised visual feature learning algorithm driven by context-based pixel prediction. By analogy with auto-encoders, we propose Context Encoders -- a convolutional neural network trained to generate the contents of an arbitrary image
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ac4462b5e819c32ffdc44e62e6cf548
Autor:
Marcus Rohrbach, Bernt Schiele, Trevor Darrell, Zeynep Akata, Jeff Donahue, Lisa Anne Hendricks
Publikováno v:
Computer Vision – ECCV 2016 ISBN: 9783319464923
ECCV (4)
ECCV (4)
Clearly explaining a rationale for a classification decision to an end user can be as important as the decision itself. Existing approaches for deep visual recognition are generally opaque and do not output any justification text; contemporary vision
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a0b9d23a1390783d97fb861e7555b8dc
https://doi.org/10.1007/978-3-319-46493-0_1
https://doi.org/10.1007/978-3-319-46493-0_1
Publikováno v:
IEEE transactions on pattern analysis and machine intelligence. 38(1)
Object detection performance, as measured on the canonical PASCAL VOC Challenge datasets, plateaued in the final years of the competition. The best-performing methods were complex ensemble systems that typically combined multiple low-level image feat