Zobrazeno 1 - 10
of 115
pro vyhledávání: '"Octavia Camps"'
Publikováno v:
2022 IEEE 5th International Conference on Multimedia Information Processing and Retrieval (MIPR).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2997689735c2653e99a72633751622e2
https://doi.org/10.1109/mipr54900.2022.00074
https://doi.org/10.1109/mipr54900.2022.00074
Autor:
Max Torop, Wenqian Liu, Dana H. Brooks, Milind Rajadhyaksha, Jennifer G. Dy, Octavia Camps, Sandesh Ghimire, Kivanc Kose
Publikováno v:
Photonics in Dermatology and Plastic Surgery 2022.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::38cf5d1eabff2ebe55c4a3058d968b64
https://doi.org/10.1117/12.2609885
https://doi.org/10.1117/12.2609885
Publikováno v:
IFAC-PapersOnLine. 53:1138-1143
This paper considers the problem of identifying the linear portion of a Wiener system, for the case of a known, but non-invertible non-linearity. It is well known that this scenario, common in many practical applications, leads to NP-hard problems in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2d1d8a4981d0295dfe30b349b130bf0e
https://doi.org/10.1016/j.ifacol.2020.12.1320
https://doi.org/10.1016/j.ifacol.2020.12.1320
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031200557
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::046701354c1a50c5125adea59b1a011c
https://doi.org/10.1007/978-3-031-20056-4_1
https://doi.org/10.1007/978-3-031-20056-4_1
Publikováno v:
ESANN 2022 proceedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c2639df2036cdca347bf2e4dd00ee220
https://doi.org/10.14428/esann/2022.es2022-12
https://doi.org/10.14428/esann/2022.es2022-12
Autor:
Srikrishna Karanam, Ziyan Wu, Octavia Camps, Mengran Gou, Richard J. Radke, Angels Rates-Borras
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 41:523-536
Person re-identification (re-id) is a critical problem in video analytics applications such as security and surveillance. The public release of several datasets and code for vision algorithms has facilitated rapid progress in this area over the last
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1b4fefb9f3ef2047156e7c075e600c7b
https://doi.org/10.1109/tpami.2018.2807450
https://doi.org/10.1109/tpami.2018.2807450
Autor:
Mario Sznaier, Octavia Camps
Publikováno v:
Encyclopedia of Systems and Control ISBN: 9781447151029
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b8d26104ef6d938c701fb3537fb85ada
https://doi.org/10.1007/978-3-030-44184-5_134
https://doi.org/10.1007/978-3-030-44184-5_134
Autor:
Octavia Camps, Ziyan Wu, Richard J. Radke, Meng Zheng, Runze Li, Wenqian Liu, Srikrishna Karanam, Bir Bhanu
Publikováno v:
CVPR
Recent advances in Convolutional Neural Network (CNN) model interpretability have led to impressive progress in visualizing and understanding model predictions. In particular, gradient-based visual attention methods have driven much recent effort in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f0a65d10eb42fa020945e98a687e216d
https://doi.org/10.1109/cvpr42600.2020.00867
https://doi.org/10.1109/cvpr42600.2020.00867
Publikováno v:
WACV
Despite the advances in Human Activity Recognition, the ability to exploit the dynamics of human body motion in videos has yet to be achieved. In numerous recent works, researchers have used appearance and motion as independent inputs to infer the ac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd5745b657c0e6fbf9b8fbd3f4a729d8
https://doi.org/10.1109/wacv45572.2020.9093500
https://doi.org/10.1109/wacv45572.2020.9093500
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030585198
ECCV (17)
ECCV (17)
Human pose estimation in video relies on local information by either estimating each frame independently or tracking poses across frames. In this paper, we propose a novel method combining local approaches with global context. We introduce a light we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4ee604dd84c4e194d5deaa9b5b0d50e
https://doi.org/10.1007/978-3-030-58520-4_36
https://doi.org/10.1007/978-3-030-58520-4_36