3 citations · 10 across the 17 of their papers we have counts for
18 papers
Deep Temporal Sequence Classification and Mathematical Modeling for Cell Tracking in Dense 3D Microscopy Videos of Bacterial Biofilms
Tanjin Taher Toma, Yibo Wang, Andreas Gahlmann +1
Automatic cell tracking in dense environments is plagued by inaccurate correspondences and misidentification of parent-offspring relationships. In this paper, we introduce a novel…
SDDPM: Speckle Denoising Diffusion Probabilistic Models
Soumee Guha, Scott T. Acton
Coherent imaging systems, such as medical ultrasound and synthetic aperture radar (SAR), are subject to corruption from speckle due to sub-resolution scatterers. Since speckle is m…
A Multi-Modal Transformer Network for Action Detection
Matthew Korban, Scott T. Acton, Peter Youngs
This paper proposes a novel multi-modal transformer network for detecting actions in untrimmed videos. To enrich the action features, our transformer network utilizes a new multi-m…
TAA-GCN: A Temporally Aware Adaptive Graph Convolutional Network for Age Estimation
Matthew Korban, Peter Young, Scott T. Acton
This paper proposes a novel age estimation algorithm, the Temporally-Aware Adaptive Graph Convolutional Network (TAA-GCN). Using a new representation based on graphs, the TAA-GCN u…
An Efficient Convolutional Neural Network for Coronary Heart Disease Prediction
Aniruddha Dutta, Tamal Batabyal, Meheli Basu +1
This study proposes an efficient neural network with convolutional layers to classify significantly class-imbalanced clinical data. The data are curated from the National Health an…
GlidarCo: gait recognition by 3D skeleton estimation and biometric feature correction of flash lidar data
Nasrin Sadeghzadehyazdi, Tamal Batabyal, Nibir K. Dhar +3
Gait recognition using noninvasively acquired data has been attracting an increasing interest in the last decade. Among various modalities of data sources, it is experimentally fou…