Zobrazeno 1 - 10
of 241
pro vyhledávání: '"Havens, Timothy"'
Autor:
Awad, Ali, Saleem, Ashraf, Paheding, Sidike, Lucas, Evan, Al-Ratrout, Serein, Havens, Timothy C.
Underwater imagery often suffers from severe degradation that results in low visual quality and object detection performance. This work aims to evaluate state-of-the-art image enhancement models, investigate their impact on underwater object detectio
Externí odkaz:
http://arxiv.org/abs/2411.14626
In this paper, we propose an extension to Longformer Encoder-Decoder, a popular sparse transformer architecture. One common challenge with sparse transformers is that they can struggle with encoding of long range context, such as connections between
Externí odkaz:
http://arxiv.org/abs/2410.08971
Autor:
Sethuraman, Advaith V., Sheppard, Anja, Bagoren, Onur, Pinnow, Christopher, Anderson, Jamey, Havens, Timothy C., Skinner, Katherine A.
Publikováno v:
The International Journal of Robotics Research. 2024;0(0)
Open-source benchmark datasets have been a critical component for advancing machine learning for robot perception in terrestrial applications. Benchmark datasets enable the widespread development of state-of-the-art machine learning methods, which re
Externí odkaz:
http://arxiv.org/abs/2401.14546
Autor:
Geglio, Anthony, Hedayati, Eisa, Tascillo, Mark, Anderson, Dyche, Barker, Jonathan, Havens, Timothy C.
Publikováno v:
2022 IEEE Symposium Series on Computational Intelligence (SSCI), Singapore, Singapore, 2022
This work investigates a practical and novel method for automated unsupervised fault detection in vehicles using a fully convolutional autoencoder. The results demonstrate the algorithm we developed can detect anomalies which correspond to powertrain
Externí odkaz:
http://arxiv.org/abs/2202.07592
Light field imaging introduced the capability to refocus an image after capturing. Currently there are two popular methods for refocusing, shift-and-sum and Fourier slice methods. Neither of these two methods can refocus the light field in real-time
Externí odkaz:
http://arxiv.org/abs/2103.16020
Publikováno v:
2021 International Joint Conference on Neural Networks (IJCNN), 2021, pp. 1-9
Light field (LF) imaging has gained significant attention due to its recent success in 3-dimensional (3D) displaying and rendering as well as augmented and virtual reality usage. Nonetheless, because of the two extra dimensions, LFs are much larger t
Externí odkaz:
http://arxiv.org/abs/2010.00062
Autor:
Anderson, Derek, Deardorff, Matthew, Havens, Timothy, Kakula, Siva, Wilkin, Timothy, Islam, Muhammad, Pinar, Anthony, Buck, Andrew
The fuzzy integral is a powerful parametric nonlin-ear function with utility in a wide range of applications, from information fusion to classification, regression, decision making,interpolation, metrics, morphology, and beyond. While the fuzzy integ
Externí odkaz:
http://arxiv.org/abs/2007.02874
Autor:
Islam, Muhammad Aminul, Anderson, Derek T., Pinar, Anthony J., Havens, Timothy C., Scott, Grant, Keller, James M.
Information fusion is an essential part of numerous engineering systems and biological functions, e.g., human cognition. Fusion occurs at many levels, ranging from the low-level combination of signals to the high-level aggregation of heterogeneous de
Externí odkaz:
http://arxiv.org/abs/1905.04394
Autor:
Havens, Timothy J.
Publikováno v:
Journal of Cinema and Media Studies, 2020 Oct 01. 60(1), 158-162.
Externí odkaz:
https://www.jstor.org/stable/27063742
Kernel-based clustering algorithms have the ability to capture the non-linear structure in real world data. Among various kernel-based clustering algorithms, kernel k-means has gained popularity due to its simple iterative nature and ease of implemen
Externí odkaz:
http://arxiv.org/abs/1402.3849