Zobrazeno 1 - 10
of 126
pro vyhledávání: '"Alexei A. Efros"'
Publikováno v:
CVPR
We study the notion of consistency between a 3D shape and a 2D observation and propose a differentiable formulation which allows computing gradients of the 3D shape given an observation from an arbitrary view. We do so by reformulating view consisten
Autor:
Xi Shen, Robin Champenois, Shiry Ginosar, Ilaria Pastrolin, Morgane Rousselot, Oumayma Bounou, Tom Monnier, Spyros Gidaris, François Bougard, Pierre-Guillaume Raverdy, Marie-Françoise Limon, Christine Bénévent, Marc Smith, Olivier Poncet, K. Bender, Béatrice Joyeux-Prunel, Elizabeth Honig, Alexei A. Efros, Mathieu Aubry
Publikováno v:
International Journal of Computer Vision
International Journal of Computer Vision, Springer Verlag, 2022, ⟨10.1007/s11263-022-01576-x⟩
International Journal of Computer Vision, 2022, ⟨10.1007/s11263-022-01576-x⟩
International Journal of Computer Vision, Springer Verlag, 2022, ⟨10.1007/s11263-022-01576-x⟩
International Journal of Computer Vision, 2022, ⟨10.1007/s11263-022-01576-x⟩
International audience; Progress in the digitization of cultural assets leads to online databases that become too large for a human to analyze. Moreover, some analyses might be challenging, even for experts. In this paper, we explore two applications
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031250682
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::00d53f2aa6d8282339196b25d852b623
https://doi.org/10.1007/978-3-031-25069-9_7
https://doi.org/10.1007/978-3-031-25069-9_7
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031197680
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3946a830b4f1af7ce78a33730e7291e1
https://doi.org/10.1007/978-3-031-19769-7_17
https://doi.org/10.1007/978-3-031-19769-7_17
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031197833
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d7aa9b0baf2eeafadc95cae45a92506
https://doi.org/10.1007/978-3-031-19784-0_23
https://doi.org/10.1007/978-3-031-19784-0_23
Autor:
Tim Brooks, Alexei A. Efros
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031197864
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::918ee2eab0d14b2dd2058d58d9837c66
https://doi.org/10.1007/978-3-031-19787-1_29
https://doi.org/10.1007/978-3-031-19787-1_29
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031197833
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::063c232a2d9a9378ca4ed02ef33d0f56
https://doi.org/10.1007/978-3-031-19784-0_36
https://doi.org/10.1007/978-3-031-19784-0_36
Autor:
Vongani H. Maluleke, Neerja Thakkar, Tim Brooks, Ethan Weber, Trevor Darrell, Alexei A. Efros, Angjoo Kanazawa, Devin Guillory
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031197772
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ad09a09da360b1953b72027726364074
https://doi.org/10.1007/978-3-031-19778-9_20
https://doi.org/10.1007/978-3-031-19778-9_20
A video autoencoder is proposed for learning disentan- gled representations of 3D structure and camera pose from videos in a self-supervised manner. Relying on temporal continuity in videos, our work assumes that the 3D scene structure in nearby vide
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a848a4d4830f2c9ee522d68579131c5
http://arxiv.org/abs/2110.02951
http://arxiv.org/abs/2110.02951