no code implementations • 17 Nov 2023 • Soumee Guha, Scott T. Acton
In the forward process, we apply multiplicative noise to a given image and prove that the forward process is Gaussian.
no code implementations • 31 May 2023 • Matthew Korban, Scott T. Acton, Peter Youngs
This paper proposes a novel multi-modal transformer network for detecting actions in untrimmed videos.
2 code implementations • 15 May 2023 • Matthew Korban, Peter Young, Scott T. Acton
This paper proposes a novel age estimation algorithm, the Temporally-Aware Adaptive Graph Convolutional Network (TAA-GCN).
1 code implementation • 1 Sep 2019 • Aniruddha Dutta, Tamal Batabyal, Meheli Basu, Scott T. Acton
Despite a 35:1 (Non-CHD:CHD) ratio in the NHANES dataset, the investigation confirms that our proposed CNN architecture has the classification power of 77% to correctly classify the presence of CHD and 81. 8% the absence of CHD cases on a testing data, which is 85. 70% of the total dataset.
no code implementations • 16 May 2019 • Nasrin Sadeghzadehyazdi, Tamal Batabyal, Nibir K. Dhar, B. O. Familoni, K. M. Iftekharuddin, Scott T. Acton
Model-based gait recognition methods that exploit features from a fitted model, like skeleton, are recognized for their view and scale-invariant properties.
no code implementations • 11 Dec 2018 • Tamal Batabyal, Daniel S. Weller, Jaideep Kapur, Scott T. Acton
However, in reality if the class of input data is not known beforehand, it is difficult to decide which transformation to use.