Scott T. Acton

Scott T. Acton

University of Virginia

H-index: 48

North America-United States

About Scott T. Acton

Scott T. Acton, With an exceptional h-index of 48 and a recent h-index of 24 (since 2020), a distinguished researcher at University of Virginia, specializes in the field of Image Processing, Bioimage Analysis, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

3D far-field Lidar sensing and computational modeling for human identification

Automatic classification of activities in classroom videos

Instructional Activity Recognition Using A Transformer Network with Multi-Semantic Attention

DeepSeeded:: Volumetric segmentation of dense cell populations with a cascade of deep neural networks in bacterial biofilm applications

A semantic and motion-aware spatiotemporal transformer network for action detection

Instructional activity detection using deep neural networks

SDDPM: Speckle Denoising Diffusion Probabilistic Models

Diffusionnet: An Efficient Framework to Classify Single-Molecule Images with Latent Entropy Minimization

Scott T. Acton Information

University

Position

___

Citations(all)

12737

Citations(since 2020)

4084

Cited By

10269

hIndex(all)

48

hIndex(since 2020)

24

i10Index(all)

157

i10Index(since 2020)

67

Email

University Profile Page

University of Virginia

Google Scholar

View Google Scholar Profile

Scott T. Acton Skills & Research Interests

Image Processing

Bioimage Analysis

Machine Learning

Top articles of Scott T. Acton

Title

Journal

Author(s)

Publication Date

3D far-field Lidar sensing and computational modeling for human identification

Applied Optics

A Glandon

L Vidyaratne

NK Dhar

JO Familoni

N Sadeghzadehyazdi

...

2024/3/10

Automatic classification of activities in classroom videos

Computers and Education: Artificial Intelligence

Jonathan K Foster

Matthew Korban

Peter Youngs

Ginger S Watson

Scott T Acton

2024/6/1

Instructional Activity Recognition Using A Transformer Network with Multi-Semantic Attention

Matthew Korban

Scott T Acton

Peter Youngs

Jonathan Foster

2024/3/17

DeepSeeded:: Volumetric segmentation of dense cell populations with a cascade of deep neural networks in bacterial biofilm applications

Expert Systems with Applications

Tanjin Taher Toma

Yibo Wang

Andreas Gahlmann

Scott T Acton

2024/3/15

A semantic and motion-aware spatiotemporal transformer network for action detection

IEEE Transactions on Pattern Analysis and Machine Intelligence

Matthew Korban

Peter Youngs

Scott T Acton

2024/3/14

Instructional activity detection using deep neural networks

Matthew Korban

Peter Youngs

Scott T Acton

2023/6/11

SDDPM: Speckle Denoising Diffusion Probabilistic Models

arXiv preprint arXiv:2311.10868

Soumee Guha

Scott T Acton

2023/11/17

Diffusionnet: An Efficient Framework to Classify Single-Molecule Images with Latent Entropy Minimization

Soumee Guha

Olivia de Cuba

Andreas Gahlmann

Scott T Acton

2023/6/4

An Adaptive and Interpretable Framework for Biomedical Image Analysis

Samarth Singh

Scott T Acton

Shayan Moosa

Natasha D Sheybani

2023/10/29

Taa-gcn: A temporally aware adaptive graph convolutional network for age estimation

Pattern Recognition

Matthew Korban

Peter Youngs

Scott T Acton

2023/2/1

A Multi-Modal Transformer network for action detection

Pattern Recognition

Matthew Korban

Peter Youngs

Scott T Acton

2023/10/1

Guest Editorial Large-Scale Medical Image and Video Analytics for Clinical Decision Support

IEEE Journal of Biomedical and Health Informatics

Marios S Pattichis

Scott T Acton

Constantinos S Pattichis

Andreas S Panayides

2023/1/4

Board 425: Using Neural Networks to Provide Automated Feedback on Elementary Mathematics Instruction

Peter Youngs

Scout Beron Crimmins

Jonathan Foster

Matthew Korban

Scott T Acton

...

2023/6/25

CAT: Centerness-Aware Anchor-Free Tracker

Sensors

Haoyi Ma

Scott T Acton

Zongli Lin

2022/1/4

BCM3D 2.0: accurate segmentation of single bacterial cells in dense biofilms using computationally generated intermediate image representations

npj Biofilms and Microbiomes

Ji Zhang

Yibo Wang

Eric D Donarski

Tanjin T Toma

Madeline T Miles

...

2022/12/18

3D GAN image synthesis and dataset quality assessment for bacterial biofilm

Bioinformatics

Jie Wang

Nazia Tabassum

Tanjin T Toma

Yibo Wang

Andreas Gahlmann

...

2022/10/1

Realistic-shape bacterial biofilm simulator for deep learning-based 3D single-cell segmentation

Tanjin Taher Toma

Yuexuan Wu

Jie Wang

Anuj Srivastava

Andreas Gahlmann

...

2022/3/28

Long-term high-resolution lattice light sheet imaging of bacterial communities in physiologically relevant conditions

Biophysical Journal

Eric D Donarski

Yibo Wang

Ji Zhang

Jie Wang

Scott T Acton

...

2022/2/11

Using skeleton correction to improve flash lidar-based gait recognition

Applied Artificial Intelligence

Nasrin Sadeghzadehyazdi

Tamal Batabyal

Alexander Glandon

Nibir Dhar

Babajide Familoni

...

2022/12/31

Efficient Learning of Transform-Domain LMS Filter Using Graph Laplacian

IEEE transactions on neural networks and learning systems

Tamal Batabyal

Daniel Weller

Jaideep Kapur

Scott T Acton

2022/2/4

See List of Professors in Scott T. Acton University(University of Virginia)