Clinton Fookes

Clinton Fookes

Queensland University of Technology

H-index: 56

Oceania-Australia

About Clinton Fookes

Clinton Fookes, With an exceptional h-index of 56 and a recent h-index of 46 (since 2020), a distinguished researcher at Queensland University of Technology, specializes in the field of Computer Vision, Machine Learning, Signal Processing, AI, Video Analytics/Biometrics/Medical Imaging.

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

AG-ReID. v2: Bridging Aerial and Ground Views for Person Re-identification

Deep cross-domain transfer for emotion recognition via joint learning

SafeSea: Synthetic Data Generation for Adverse & Low Probability Maritime Conditions

Automatic Radar Signal Detection and FFT Estimation using Deep Learning

Automated Radiomics Based Clinically Significant Prostate Cancer (csPCa) Grade Classification From Biparametric MRI

Deep learning approaches for seizure video analysis: A review

Divide and Conquer: Rethinking the Training Paradigm of Neural Radiance Fields

Multi-Stage Learning for Radar Pulse Activity Segmentation

Clinton Fookes Information

University

Position

___

Citations(all)

11006

Citations(since 2020)

7685

Cited By

5901

hIndex(all)

56

hIndex(since 2020)

46

i10Index(all)

222

i10Index(since 2020)

157

Email

University Profile Page

Queensland University of Technology

Google Scholar

View Google Scholar Profile

Clinton Fookes Skills & Research Interests

Computer Vision

Machine Learning

Signal Processing

AI

Video Analytics/Biometrics/Medical Imaging

Top articles of Clinton Fookes

Title

Journal

Author(s)

Publication Date

AG-ReID. v2: Bridging Aerial and Ground Views for Person Re-identification

IEEE Transactions on Information Forensics and Security

Huy Nguyen

Kien Nguyen

Sridha Sridharan

Clinton Fookes

2024/1/18

Deep cross-domain transfer for emotion recognition via joint learning

Multimedia Tools and Applications

Dung Nguyen

Duc Thanh Nguyen

Sridha Sridharan

Mohamed Abdelrazek

Simon Denman

...

2024/3

SafeSea: Synthetic Data Generation for Adverse & Low Probability Maritime Conditions

Martin Tran

Jordan Shipard

Hermawan Mulyono

Arnold Wiliem

Clinton Fookes

2024

Automatic Radar Signal Detection and FFT Estimation using Deep Learning

arXiv preprint arXiv:2402.19073

Akila Pemasiri

Zi Huang

Fraser Williams

Ethan Goan

Simon Denman

...

2024/2/29

Automated Radiomics Based Clinically Significant Prostate Cancer (csPCa) Grade Classification From Biparametric MRI

Rakibul Islam

Abdullah Nazib

Abu Rumman Refat

Kien Nguyen

Zahidul Islam

...

2024/2/13

Deep learning approaches for seizure video analysis: A review

David Ahmedt-Aristizabal

Mohammad Ali Armin

Zeeshan Hayder

Norberto Garcia-Cairasco

Lars Petersson

...

2024/5/1

Divide and Conquer: Rethinking the Training Paradigm of Neural Radiance Fields

arXiv preprint arXiv:2401.16144

Rongkai Ma

Leo Lebrat

Rodrigo Santa Cruz

Gil Avraham

Yan Zuo

...

2024/1/29

Multi-Stage Learning for Radar Pulse Activity Segmentation

Zi Huang

Akila Pemasiri

Simon Denman

Clinton Fookes

Terrence Martin

2024/4/14

Zoom-shot: Fast and Efficient Unsupervised Zero-Shot Transfer of CLIP to Vision Encoders with Multimodal Loss

arXiv preprint arXiv:2401.11633

Jordan Shipard

Arnold Wiliem

Kien Nguyen Thanh

Wei Xiang

Clinton Fookes

2024/1/22

Multimodal Co-Learning Meets Remote Sensing: Taxonomy, State of the Art, and Future Works

Nhi Kieu

Kien Nguyen

Abdullah Nazib

Tharindu Fernando

Clinton Fookes

...

2024/3/19

Piecewise deterministic Markov processes for Bayesian neural networks

Ethan Goan

Dimitri Perrin

Kerrie Mengersen

Clinton Fookes

2023/7/2

DConv-LSTM-Net: A Novel Architecture for Single and 12-Lead ECG Anomaly Detection.

IEEE Sensors Journal

Theekshana Dissanayake

Tharindu Fernando

Simon Denman

Sridha Sridharan

Clinton Fookes

2023/8/4

Syn3DWound: A Synthetic Dataset for 3D Wound Bed Analysis

arXiv preprint arXiv:2311.15836

Léo Lebrat

Rodrigo Santa Cruz

Remi Chierchia

Yulia Arzhaeva

Mohammad Ali Armin

...

2023/11/27

2.6 Paper E: Affect Recognition from Scalp-EEG using Channel-wise Encoder Networks Coupled with Ge-ometric Deep Learning and Multi-channel Feature Fusion

Improving Information Fusion in Deep Learning

Darshana Priyasad

Tharindu Fernando

Simon Denman

Clinton Fookes

Sridha Sridharan

2023

Dual Memory Fusion for Multimodal Speech Emotion Recognition

Proc. INTERSPEECH

Darshana Priyasad

Tharindu Fernando

Sridha Sridharan

Simon Denman

Clinton Fookes

2023

Generalization Properties of Geometric 3D Deep Learning Models for Medical Segmentation

Léo Lebrat

Rodrigo Santa Cruz

Reuben Dorent

Javier Urriola Yaksic

Alex Pagnozzi

...

2023/4/18

Remembering What Is Important: A Factorised Multi-Head Retrieval and Auxiliary Memory Stabilisation Scheme for Human Motion Prediction

arXiv preprint arXiv:2305.11394

Tharindu Fernando

Harshala Gammulle

Sridha Sridharan

Simon Denman

Clinton Fookes

2023/5/19

Multi-stage stacked temporal convolution neural networks (MS-S-TCNs) for biosignal segmentation and anomaly localization

Pattern Recognition

Theekshana Dissanayake

Tharindu Fernando

Simon Denman

Sridha Sridharan

Clinton Fookes

2023/7/1

Continuous human action recognition for human-machine interaction: a review

ACM Computing Surveys (CSUR)

Harshala Gammulle

David Ahmedt-Aristizabal

Simon Denman

Lachlan Tychsen-Smith

Lars Petersson

...

2023/3/14

Video Question Answering for Surveillance

Muhammad Iqbal Hasan Chowdhury

Kien Nguyen

Clinton Fookes

Sridha Sridharan

2020/8/4

See List of Professors in Clinton Fookes University(Queensland University of Technology)

Co-Authors

H-index: 44
Vinod Chandran

Vinod Chandran

Queensland University of Technology

H-index: 43
Simon Denman

Simon Denman

Queensland University of Technology

H-index: 41
Anthony J Maeder

Anthony J Maeder

Flinders University

H-index: 23
Kien Nguyen Thanh

Kien Nguyen Thanh

Queensland University of Technology

H-index: 22
Tharindu Fernando

Tharindu Fernando

Queensland University of Technology

H-index: 12
David Ryan

David Ryan

Queensland University of Technology

academic-engine