Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Christine Kaeser‐Chen"'
Autor:
Damon P. Little, Melissa Tulig, Kiat Chuan Tan, Yulong Liu, Serge Belongie, Christine Kaeser‐Chen, Fabián A. Michelangeli, Kiran Panesar, R.V. Guha, Barbara A. Ambrose
Publikováno v:
Applications in Plant Sciences, Vol 8, Iss 6, Pp n/a-n/a (2020)
Premise Plant biodiversity is threatened, yet many species remain undescribed. It is estimated that >50% of undescribed species have already been collected and are awaiting discovery in herbaria. Robust automatic species identification algorithms usi
Externí odkaz:
https://doaj.org/article/e1155bdcf3204cbb97ee5f26b12cd1c9
Autor:
Barbara A. Ambrose, Serge Belongie, Damon P. Little, Melissa Tulig, Fabián A. Michelangeli, Ramanathan V. Guha, Christine Kaeser-Chen, Yulong Liu, Kiran S. Panesar, Kiat Chuan Tan
Publikováno v:
Applications in Plant Sciences, Vol 8, Iss 6, Pp n/a-n/a (2020)
Applications in Plant Sciences
Applications in Plant Sciences
Premise Plant biodiversity is threatened, yet many species remain undescribed. It is estimated that >50% of undescribed species have already been collected and are awaiting discovery in herbaria. Robust automatic species identification algorithms usi
Publikováno v:
FAT*
Positionality is a person's unique and always partial view of the world which is shaped by social and political contexts. Machine Learning (ML) systems have positionality, too, as a consequence of the choices we make when we develop ML systems. Being
Publikováno v:
EMNLP/IJCNLP (1)
We introduce the new Birds-to-Words dataset of 41k sentences describing fine-grained differences between photographs of birds. The language collected is highly detailed, while remaining understandable to the everyday observer (e.g., "heart-shaped fac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::896a0273366005bf8f7707210b055935
http://arxiv.org/abs/1909.04101
http://arxiv.org/abs/1909.04101
Autor:
Grant Van Horn, Tim Robertson, John Waller, Hartwig Adam, Denis Brulé, Sara Beery, Oisin Mac Aodha, Chenyang Zhang, Christine Kaeser-Chen, Scott Loarie, Yulong Liu, Kiat Chuan Tan, Kyle Copas, Serge Belongie, Pietro Perona, Cédric Deltheil
Publikováno v:
Biodiversity Information Science and Standards 3: e37230
Advances in machine vision technology are rapidly enabling new and innovative uses within the field of biodiversity. Computers are now able to use images to identify tens of thousands of species across a wide range of taxonomic groups in real time, n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f51cc74764cdf11b1ee1e4e95b574451
https://zenodo.org/record/3257870
https://zenodo.org/record/3257870
Publikováno v:
ICIP
We introduce a simple model for the human hand skeleton that is geared toward estimating 3D hand poses from 2D keypoints. The estimation problem arises in AR/VR scenarios where low-cost cameras are used to generate 2D views through which rich interac
Publikováno v:
Computer Vision – ECCV 2018 ISBN: 9783030012151
ECCV (2)
ECCV (2)
Virtual and augmented reality technologies have seen significant growth in the past few years. A key component of such systems is the ability to track the pose of head mounted displays and controllers in 3D space. We tackle the problem of efficient 6
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1fd9829248d1c133ef0dccd3f687880a
https://doi.org/10.1007/978-3-030-01216-8_26
https://doi.org/10.1007/978-3-030-01216-8_26