Nicolas Pugeault

Nicolas Pugeault

University of Glasgow

H-index: 30

Europe-United Kingdom

About Nicolas Pugeault

Nicolas Pugeault, With an exceptional h-index of 30 and a recent h-index of 17 (since 2020), a distinguished researcher at University of Glasgow, specializes in the field of Computer Vision, Machine Learning, Cognitive Robotics.

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

The Bad Batches: Enhancing Self-Supervised Learning in Image Classification Through Representative Batch Curation

Generative Adversarial Networks for Facial Expression Recognition in the Wild

School of Computing Science

The role of noise in denoising models for anomaly detection in medical images

Investigating the chaotic dynamics produced by deep reinforcement learning controllers

Can learning regression features by computer vision improve the generalisation of geostastistical interpolators?

Denoising autoencoders for unsupervised anomaly detection in brain MRI

Bayesian deep learning for spatial interpolation in the presence of auxiliary information

Nicolas Pugeault Information

University

Position

Reader School of Computing Science

Citations(all)

2810

Citations(since 2020)

1173

Cited By

2039

hIndex(all)

30

hIndex(since 2020)

17

i10Index(all)

50

i10Index(since 2020)

22

Email

University Profile Page

University of Glasgow

Google Scholar

View Google Scholar Profile

Nicolas Pugeault Skills & Research Interests

Computer Vision

Machine Learning

Cognitive Robotics

Top articles of Nicolas Pugeault

Title

Journal

Author(s)

Publication Date

The Bad Batches: Enhancing Self-Supervised Learning in Image Classification Through Representative Batch Curation

arXiv preprint arXiv:2403.19579

Ozgu Goksu

Nicolas Pugeault

2024/3/28

Generative Adversarial Networks for Facial Expression Recognition in the Wild

International Journal of Computing and Digital Systems

Luma Alharbawee

Nicolas Pugeault

2024/1/9

School of Computing Science

Iadh Ounis

Roderick Murray-Smith

Joemon Jose

Craig MacDonald

Nicolas Pugeault

...

2023/6/27

The role of noise in denoising models for anomaly detection in medical images

Medical Image Analysis

Antanas Kascenas

Pedro Sanchez

Patrick Schrempf

Chaoyang Wang

William Clackett

...

2023/12/1

Investigating the chaotic dynamics produced by deep reinforcement learning controllers

Rory Young

Nicolas Pugeault

2023/10/13

Can learning regression features by computer vision improve the generalisation of geostastistical interpolators?

EGU General Assembly Conference Abstracts

Charlie Kirkwood

Theo Economou

Henry Odbert

Nicolas Pugeault

2023/5

Denoising autoencoders for unsupervised anomaly detection in brain MRI

Antanas Kascenas

Nicolas Pugeault

Alison Q O’Neil

2022/12/4

Bayesian deep learning for spatial interpolation in the presence of auxiliary information

Mathematical Geosciences

Charlie Kirkwood

Theo Economou

Nicolas Pugeault

Henry Odbert

2022/4

Anomaly detection via context and local feature matching

Antanas Kascenas

Rory Young

Bjørn Sand Jensen

Nicolas Pugeault

Alison Q O’Neil

2022/3/28

A deep mixture density network for outlier-corrected interpolation of crowd-sourced weather data

arXiv preprint arXiv:2201.10544

Charlie Kirkwood

Theo Economou

Henry Odbert

Nicolas Pugeault

2022/1/25

A framework for probabilistic weather forecast post-processing across models and lead times using machine learning

Philosophical Transactions of the Royal Society A

Charlie Kirkwood

Theo Economou

Henry Odbert

Nicolas Pugeault

2021/4/5

Bayesian deep learning for large scale environmental data modelling

Charlie Kirkwood

Theo Economou

Henry Odbert

Nicolas Pugeault

2021/3/24

Transformer-encoder detector module: Using context to improve robustness to adversarial attacks on object detection

Faisal Alamri

Sinan Kalkan

Nicolas Pugeault

2021/1/10

A benchmark of dynamic versus static methods for facial action unit detection

The Journal of Engineering

L Alharbawee

N Pugeault

2021/5

Improving object detection performance using scene contextual constraints

IEEE Transactions on Cognitive and Developmental Systems

Faisal Alamri

Nicolas Pugeault

2020/7/9

SeDAR: reading floorplans like a human—using deep learning to enable human-inspired localisation

International Journal of Computer Vision

Oscar Mendez

Simon Hadfield

Nicolas Pugeault

Richard Bowden

2020/5

Image captioning through image transformer

Sen He

Wentong Liao

Hamed R Tavakoli

Michael Yang

Bodo Rosenhahn

...

2020

Real-time facial expression recognition “in the wild” by disentangling 3d expression from identity

Mohammad Rami Koujan

Luma Alharbawee

Giorgos Giannakakis

Nicolas Pugeault

Anastasios Roussos

2020/11/16

Collaborative deep learning models to handle class imbalance in flowcam plankton imagery

Ieee Access

Thomas Kerr

James R Clark

Elaine S Fileman

Claire E Widdicombe

Nicolas Pugeault

2020/9/7

Bayesian deep learning for mapping via auxiliary information: a new era for geostatistics?

arXiv preprint arXiv:2008.07320

Charlie Kirkwood

Theo Economou

Nicolas Pugeault

2020/8/17

See List of Professors in Nicolas Pugeault University(University of Glasgow)

Co-Authors

H-index: 73
Danica Kragic

Danica Kragic

Kungliga Tekniska högskolan

H-index: 59
Richard Bowden

Richard Bowden

University of Surrey

H-index: 58
Tamim Asfour

Tamim Asfour

Karlsruher Institut für Technologie

H-index: 43
Norbert Krueger

Norbert Krueger

Syddansk Universitet

H-index: 41
Justus Piater

Justus Piater

Universität Innsbruck

H-index: 27
Ron Petrick

Ron Petrick

Heriot-Watt University

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