Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Landry Kezebou"'
Publikováno v:
AI, Vol 2, Iss 4, Pp 684-704 (2021)
The concept of searching and localizing vehicles from live traffic videos based on descriptive textual input has yet to be explored in the scholarly literature. Endowing Intelligent Transportation Systems (ITS) with such a capability could help solve
Externí odkaz:
https://doaj.org/article/7b15088983c747958c19b0c1a9ad6b49
Autor:
Foram Sanghavi, Obafemi Jinadu, Victor Oludare, Karen Panetta, Landry Kezebou, Susan B. Roberts
Publikováno v:
Sensors, Vol 23, Iss 17, p 7418 (2023)
Rapid significant weight fluctuations can indicate severe health conditions such as edema due to congestive heart failure or severe dehydration that could require prompt intervention. Daily body weighing does not accurately represent the patient’s
Externí odkaz:
https://doaj.org/article/5a588bcd845d4720bd9e6928af32fef6
Publikováno v:
IEEE Access, Vol 9, Pp 39500-39517 (2021)
Currently published tone mapping operators (TMO) are often evaluated on a very limited test set of high dynamic range (HDR) images. Thus, the resulting performance index is highly subject to extensive hyperparameter tuning, and many TMOs exhibit sub-
Externí odkaz:
https://doaj.org/article/6f495f8b1bec42e790350d9e26ac8c71
Comprehensive Underwater Object Tracking Benchmark Dataset and Underwater Image Enhancement With GAN
Publikováno v:
IEEE Journal of Oceanic Engineering. 47:59-75
Current state-of-the-art object tracking methods have largely benefited from the public availability of numerous benchmark datasets. However, the focus has been on open-air imagery and much less on underwater visual data. Inherent underwater distorti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::911608e5cc76348d8532c378c62c5012
https://doi.org/10.1109/joe.2021.3086907
https://doi.org/10.1109/joe.2021.3086907
Publikováno v:
Multimodal Image Exploitation and Learning 2022.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2955445dad4ad98813c2b4610f611019
https://doi.org/10.1117/12.2618943
https://doi.org/10.1117/12.2618943
Publikováno v:
Multimodal Image Exploitation and Learning 2022.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3333a271aaa5f03e646fac7d67891107
https://doi.org/10.1117/12.2618901
https://doi.org/10.1117/12.2618901
Publikováno v:
IEEE Access, Vol 9, Pp 39500-39517 (2021)
Currently published tone mapping operators (TMO) are often evaluated on a very limited test set of high dynamic range (HDR) images. Thus, the resulting performance index is highly subject to extensive hyperparameter tuning, and many TMOs exhibit sub-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e19315057237f2cd8ec29885edf67c3
https://ieeexplore.ieee.org/document/9371686/
https://ieeexplore.ieee.org/document/9371686/
Publikováno v:
2021 IEEE International Symposium on Technologies for Homeland Security (HST).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::394b2c73eca386ad952d3cbb0e905dd3
https://doi.org/10.1109/hst53381.2021.9619823
https://doi.org/10.1109/hst53381.2021.9619823
Publikováno v:
Multimodal Image Exploitation and Learning 2021.
The devastating aftermath of a natural disaster is often challenging to assess, and inaccuracies are bound to occur when an assessment is done manually due to the inevitable human-in-the-loop errors. Timely and accurate evaluation of the extent of da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d039757fbaae29e13aafbf00467908f
https://doi.org/10.1117/12.2586232
https://doi.org/10.1117/12.2586232
Publikováno v:
Multimodal Image Exploitation and Learning 2021.
Recognizing the model of a vehicle in natural scene images is an important and challenging task for real-life applications. Current methods perform well under controlled conditions, such as frontal and horizontal view-angles or under optimal lighting
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6e95531cba212b7abe9d9c0eb95ecb3
https://doi.org/10.1117/12.2586036
https://doi.org/10.1117/12.2586036