Search Results for author: Scott T. Acton

Found 6 papers, 2 papers with code

SDDPM: Speckle Denoising Diffusion Probabilistic Models

no code implementations17 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.

Image Denoising

A Multi-Modal Transformer Network for Action Detection

no code implementations31 May 2023 Matthew Korban, Scott T. Acton, Peter Youngs

This paper proposes a novel multi-modal transformer network for detecting actions in untrimmed videos.

Action Detection Optical Flow Estimation

TAA-GCN: A Temporally Aware Adaptive Graph Convolutional Network for Age Estimation

1 code implementation15 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).

Age Estimation

An Efficient Convolutional Neural Network for Coronary Heart Disease Prediction

1 code implementation1 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.

Disease Prediction Efficient Neural Network +1

GlidarCo: gait recognition by 3D skeleton estimation and biometric feature correction of flash lidar data

no code implementations16 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.

Gait Recognition

PrecoG: an efficient unitary split preconditioner for the transform-domain LMS filter via graph Laplacian regularization

no code implementations11 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.

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