Zobrazeno 1 - 10
of 256
pro vyhledávání: '"Nuno Vasconcelos"'
Autor:
Kevin T. Le, Zhouyuan Yuan, Areeb Syed, Devin Ratelle, Eric C. Orenstein, Melissa L. Carter, Sarah Strang, Kasia M. Kenitz, Pedro Morgado, Peter J. S. Franks, Nuno Vasconcelos, Jules S. Jaffe
Publikováno v:
Frontiers in Marine Science, Vol 9 (2022)
To understand ocean health, it is crucial to monitor photosynthetic marine plankton – the microorganisms that form the base of the marine food web and are responsible for the uptake of atmospheric carbon. With the recent development of in situ micr
Externí odkaz:
https://doaj.org/article/a5f19f1441df4e4e8b31e3dae3b045ec
Autor:
Pei Wang, Nuno Vasconcelos
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. :1-18
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::245bdf5a63bcba038754085212a3dc38
https://doi.org/10.1109/tpami.2023.3241106
https://doi.org/10.1109/tpami.2023.3241106
Autor:
Muyang Lin, Ziyang Zhang, Xiaoxiang Gao, Yizhou Bian, Ray S. Wu, Geonho Park, Zhiyuan Lou, Zhuorui Zhang, Xiangchen Xu, Xiangjun Chen, Andrea Kang, Xinyi Yang, Wentong Yue, Lu Yin, Chonghe Wang, Baiyan Qi, Sai Zhou, Hongjie Hu, Hao Huang, Mohan Li, Yue Gu, Jing Mu, Albert Yang, Amer Yaghi, Yimu Chen, Yusheng Lei, Chengchangfeng Lu, Ruotao Wang, Joseph Wang, Shu Xiang, Erik B. Kistler, Nuno Vasconcelos, Sheng Xu
Publikováno v:
Nature Biotechnology.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c3ad585ced5b77b51e57c655ddde0e2a
https://doi.org/10.1038/s41587-023-01800-0
https://doi.org/10.1038/s41587-023-01800-0
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031250842
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8c447c9cf8919b29b31548b443658940
https://doi.org/10.1007/978-3-031-25085-9_1
https://doi.org/10.1007/978-3-031-25085-9_1
Autor:
Jiacheng Cheng, Nuno Vasconcelos
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd10fe74fca70fbf1b509b202a7965af
https://doi.org/10.1109/cvpr52688.2022.01334
https://doi.org/10.1109/cvpr52688.2022.01334
Autor:
Yi Li, Nuno Vasconcelos
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d8bd7fa53c47c59d2abe8414ed86d720
https://doi.org/10.1109/cvpr52688.2022.01868
https://doi.org/10.1109/cvpr52688.2022.01868
Autor:
Pei Wang, Zhaowei Cai, Hao Yang, Gurumurthy Swaminathan, Nuno Vasconcelos, Bernt Schiele, Stefano Soatto
Publikováno v:
IEEE/CVF Conference on Computer Vision and Pattern Recognition
We consider the problem of omni-supervised object detection, which can use unlabeled, fully labeled and weakly labeled annotations, such as image tags, counts, points, etc., for object detection. This is enabled by a unified architecture, Omni-DETR,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cede7892bcd7ba37b64ba23cc705473a
http://arxiv.org/abs/2203.16089
http://arxiv.org/abs/2203.16089
Publikováno v:
International Journal of Computer Vision. 129:419-438
Image hash codes are produced by binarizing the embeddings of convolutional neural networks (CNN) trained for either classification or retrieval. While proxy embeddings achieve good performance on both tasks, they are non-trivial to binarize, due to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ba9ba1d35af360f76c9637b58938b2c3
https://doi.org/10.1007/s11263-020-01362-7
https://doi.org/10.1007/s11263-020-01362-7
Autor:
Jordan A. Carlson, Bo Liu, J. Aaron Hipp, Vincent S. Staggs, James F. Sallis, Jacqueline Kerr, A. M. Y. Papa, Nuno Vasconcelos, Kelsey Dean
Publikováno v:
Med Sci Sports Exerc
Medicine and science in sports and exercise, vol 52, iss 9
Medicine and science in sports and exercise, vol 52, iss 9
Purpose To test the validity of the Ecological Video Identification of Physical Activity (EVIP) computer vision algorithms for automated video-based ecological assessment of physical activity in settings such as parks and schoolyards. Methods Twenty-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::59e307c5d09c8f1ab6291ed0f65a7ce0
https://doi.org/10.1249/mss.0000000000002341
https://doi.org/10.1249/mss.0000000000002341
Autor:
Yunsheng Li, Yinpeng Chen, Xiyang Dai, Dongdong Chen, Mengchen Liu, Pei Yu, Ying Jin, Lu Yuan, Zicheng Liu, Nuno Vasconcelos
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031198052
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a0a1e05c6517a274f037b5af17ee20b
https://doi.org/10.1007/978-3-031-19806-9_32
https://doi.org/10.1007/978-3-031-19806-9_32