Global 3D Rigid Registration of Medical Images. - Clinton Fookes; John A. Williams 001; Mohammed Bennamoun (ICIP, 2000)

Improved Stereo Image Matching Using Mutual Information and Hierarchical Prior Probabilities. - Clinton Fookes; Mohammed Bennamoun; A. Lamanna (ICPR (2), 2002)

Segmentation-based image compression using BTC-VQ technique. - Qosai Kanafani; Azeddine Beghdadi; Clinton Fookes (ISSPA (1), 2003)

Non-Rigid Image Registration and the Use of Mutual Information. - Clinton Fookes; Mohammed Bennamoun (Aust. J. Intell. Inf. Process. Syst., 2003)

Rigid Medical Image Registration And Its Association With Mutual Information. - Clinton Fookes; Mohammed Bennamoun (Int. J. Pattern Recognit. Artif. Intell., 2003)

Face Recognition from 3D Data using Iterative Closest Point Algorithm and Gaussian Mixture Models. - Jamie Cook; Vinod Chandran; Sridha Sridharan; Clinton Fookes (3DPVT, 2004)

Multi-Spectral Stereo Image Matching using Mutual Information. - Clinton Fookes; Anthony J. Maeder; Sridha Sridharan; Jamie Cook (3DPVT, 2004)

Quadrature-Based Image Registration Method using Mutual Information. - Clinton Fookes; Anthony J. Maeder (ISBI, 2004)

Optimal grid point selection for improved nonrigid medical image registration. - Clinton Fookes; Anthony J. Maeder (Image Processing, 2004)

Gabor Filter Bank Representation for 3D Face Recognition. - Jamie Cook; Vinod Chandran; Sridha Sridharan; Clinton Fookes (DICTA, 2005)

A Multi-Class Tracker Using a Scalable Condensation Filter. - Simon Denman; Vinod Chandran; Sridha Sridharan; Clinton Fookes (AVSS, 2006)

Multi-view Intelligent Vehicle Surveillance System. - Simon Denman; Clinton Fookes; Jamie Cook; Chris Davoren; Anthony Mamic; Graeme Farquharson; Daniel Chen 002; Brenden Chen; Sridha Sridharan (AVSS, 2006)

The Role of Motion Models in Super-Resolving Surveillance Video for Face Recognition. - Frank Lin; Clinton Fookes; Vinod Chandran; Sridha Sridharan (AVSS, 2006)

Human Face Reconstruction Using Bayesian Deformable Models. - George Mamic; Clinton Fookes; Sridha Sridharan (AVSS, 2006)

3D Face Recognition using Log-Gabor Templates. - Jamie Cook; Vinod Chandran; Clinton Fookes (BMVC, 2006)

What Is the Average Human Face? - George Mamic; Clinton Fookes; Sridha Sridharan (PSIVT, 2006)

Super-Resolved Faces for Improved Face Recognition from Surveillance Video. - Frank Lin; Clinton Fookes; Vinod Chandran; Sridha Sridharan (ICB, 2007)

Improved GrabCut Segmentation via GMM Optimisation. - Daniel Chen 002; Brenden Chen; George Mamic; Clinton Fookes; Sridha Sridharan (DICTA, 2008)

Normalisation and Recognition of 3D Face Data Using Robust Hausdorff Metric. - Clinton Fookes; George Mamic; Chris McCool; Sridha Sridharan (DICTA, 2008)

3D face verification using a free-parts approach. - Chris McCool; Vinod Chandran; Sridha Sridharan; Clinton Fookes (Pattern Recognit. Lett., 2008)

Dynamic Performance Measures for Object Tracking Systems. - Simon Denman; Clinton Fookes; Sridha Sridharan; Ruan Lakemond (AVSS, 2009)

Affine Adaptation of Local Image Features Using the Hessian Matrix. - Ruan Lakemond; Clinton Fookes; Sridha Sridharan (AVSS, 2009)

Soft-Biometrics: Unconstrained Authentication in a Surveillance Environment. - Simon Denman; Clinton Fookes; Alina Bialkowski; Sridha Sridharan (DICTA, 2009)

Improved Simultaneous Computation of Motion Detection and Optical Flow for Object Tracking. - Simon Denman; Clinton Fookes; Sridha Sridharan (DICTA, 2009)

Dense Correspondence Extraction in Difficult Uncalibrated Scenarios. - Ruan Lakemond; Clinton Fookes; Sridha Sridharan (DICTA, 2009)

Crowd Counting Using Multiple Local Features. - David Ryan; Simon Denman; Clinton Fookes; Sridha Sridharan (DICTA, 2009)

PhD forum: Multiple camera management using wide base-line matching. - Ruan Lakemond; Clinton Fookes; Sridha Sridharan (ICDSC, 2009)

Exploring visual features through Gabor representations for facial expression detection. - Sien W. Chew; Patrick Lucey; Sridha Sridharan; Clinton Fookes (AVSP, 2010)

Cascading appearance-based features for visual voice activity detection. - Rajitha Navarathna; David Dean; Patrick Lucey; Sridha Sridharan; Clinton Fookes (AVSP, 2010)

Multi-Modal Object Tracking using Dynamic Performance Metrics. - Simon Denman; Clinton Fookes; Sridha Sridharan; David Ryan (AVSS, 2010)

Crowd Counting Using Group Tracking and Local Features. - David Ryan; Simon Denman; Clinton Fookes; Sridha Sridharan (AVSS, 2010)

Accurate Silhouettes for Surveillance - Improved Motion Segmentation Using Graph Cuts. - Daniel Chen 002; Simon Denman; Clinton Fookes; Sridha Sridharan (DICTA, 2010)

Accurate silhouette segmentation using motion detection and graph cuts. - Daniel Chen 002; Simon Denman; Clinton Fookes (ISSPA, 2010)

Labelled silhouettes for human pose estimation. - Daniel Chen 002; Clinton Fookes (ISSPA, 2010)

Eigengaze - covert behavioral biometric exploiting visual attention characteristics. - Clinton Fookes; Sridha Sridharan (ISSPA, 2010)

Lip detection for audio-visual speech recognition in-car environment. - Rajitha Navarathna; Patrick Lucey; David Dean; Clinton Fookes; Sridha Sridharan (ISSPA, 2010)

Fusing shrinking and expanding active contour models for robust iris segementation. - Kien Nguyen Thanh; Clinton Fookes; Sridha Sridharan (ISSPA, 2010)

Robust mean super-resolution for less cooperative NIR iris recognition at a distance and on the move. - Kien Nguyen Thanh; Clinton Fookes; Sridha Sridharan (SoICT, 2010)

Multi-spectral fusion for surveillance systems. - Simon Denman; Todd Lamb; Clinton Fookes; Vinod Chandran; Sridha Sridharan (Comput. Electr. Eng., 2010)

Determining operational measures from multi-camera surveillance systems using soft biometrics. - Simon Denman; Alina Bialkowski; Clinton Fookes; Sridha Sridharan (AVSS, 2011)

Textures of optical flow for real-time anomaly detection in crowds. - David Ryan; Simon Denman; Clinton Fookes; Sridha Sridharan (AVSS, 2011)

3D ellipsoid fitting for multi-view gait recognition. - Sabesan Sivapalan; Daniel Chen 002; Simon Denman; Sridha Sridharan; Clinton Fookes (AVSS, 2011)

Evaluating Automatic Road Detection across a Large Aerial Imagery Collection. - Xufeng Guo; David Dean; Simon Denman; Clinton Fookes; Sridha Sridharan (DICTA, 2011)

Practical Improvements to Simultaneous Computation of Multi-view Geometry and Radial Lens Distortion. - Ruan Lakemond; Clinton Fookes; Sridha Sridharan (DICTA, 2011)

Negative Determinant of Hessian Features. - Ruan Lakemond; Clinton Fookes; Sridha Sridharan (DICTA, 2011)

Visual Voice Activity Detection Using Frontal versus Profile Views. - Rajitha Navarathna; David Dean; Sridha Sridharan; Clinton Fookes; Patrick Lucey (DICTA, 2011)

Scene Invariant Crowd Counting. - David Ryan; Simon Denman; Sridha Sridharan; Clinton Fookes (DICTA, 2011)

Compressive Sensing for Gait Recognition. - Sabesan Sivapalan; Rajib Kumar Rana; Daniel Chen 002; Sridha Sridharan; Simon Denman; Clinton Fookes (DICTA, 2011)

An Exploration of Feature Detector Performance in the Thermal-Infrared Modality. - Stephen Vidas; Ruan Lakemond; Simon Denman; Clinton Fookes; Sridha Sridharan; Tim Wark (DICTA, 2011)

Unusual Event Detection in Crowded Scenes Using Bag of LBPs in Spatio-Temporal Patches. - Jingxin Xu; Simon Denman; Clinton Fookes; Sridha Sridharan (DICTA, 2011)

Activity Modelling in Crowded Environments: A Soft-Decision Approach. - Jingxin Xu; Simon Denman; Sridha Sridharan; Clinton Fookes (DICTA, 2011)

Gait energy volumes and frontal gait recognition using depth images. - Sabesan Sivapalan; Daniel Chen 002; Simon Denman; Sridha Sridharan; Clinton Fookes (IJCB, 2011)

Check-in processing: simulation of passengers with advanced traits. - Wenbo Ma; Tristan Kleinschmidt; Clinton Fookes; Prasad K. D. V. Yarlagadda (WSC, 2011)

Quality-Driven Super-Resolution for Less Constrained Iris Recognition at a Distance and on the Move. - Kien Nguyen Thanh; Clinton Fookes; Sridha Sridharan; Simon Denman (IEEE Trans. Inf. Forensics Secur., 2011)

Use of brain computer interface to drive: preliminary results. - Deanna Hood; Damian Joseph; Andry Rakotonirainy; Sridha Sridharan; Clinton Fookes (AutomotiveUI, 2012)

Unusual Scene Detection Using Distributed Behaviour Model and Sparse Representation. - Jingxin Xu; Simon Denman; Clinton Fookes; Sridha Sridharan (AVSS, 2012)

Activity Analysis in Complicated Scenes Using DFT Coefficients of Particle Trajectories. - Jingxin Xu; Simon Denman; Sridha Sridharan; Clinton Fookes (AVSS, 2012)

Feature-domain super-resolution framework for Gabor-based face and iris recognition. - Kien Nguyen Thanh; Sridha Sridharan; Simon Denman; Clinton Fookes (CVPR, 2012)

A Database for Person Re-Identification in Multi-Camera Surveillance Networks. - Alina Bialkowski; Simon Denman; Sridha Sridharan; Clinton Fookes; Patrick Lucey (DICTA, 2012)

Can You Describe Him for Me? A Technique for Semantic Person Search in Video. - Simon Denman; Michael Halstead; Alina Bialkowski; Clinton Fookes; Sridha Sridharan (DICTA, 2012)

Anomalous Event Detection Using a Semi-Two Dimensional Hidden Markov Model. - Hajananth Nallaivarothayan; David Ryan; Simon Denman; Sridha Sridharan; Clinton Fookes (DICTA, 2012)

The Backfilled GEI - A Cross-Capture Modality Gait Feature for Frontal and Side-View Gait Recognition. - Sabesan Sivapalan; Daniel Chen 002; Simon Denman; Sridha Sridharan; Clinton Fookes (DICTA, 2012)

Spatio Temporal Feature Evaluation for Action Recognition. - Sabanadesan Umakanthan; Simon Denman; Sridha Sridharan; Clinton Fookes; Tim Wark (DICTA, 2012)

On the Statistical Determination of Optimal Camera Configurations in Large Scale Surveillance Networks. - Junbin Liu; Clinton Fookes; Tim Wark; Sridha Sridharan (ECCV (1), 2012)

Quality based frame selection for video face recognition. - Kaneswaran Anantharajah; Simon Denman; Sridha Sridharan; Clinton Fookes; Dian Tjondronegoro (ICSPCS, 2012)

Efficient real-time face detection for high resolution surveillance applications. - Xin Cheng; Ruan Lakemond; Clinton Fookes; Sridha Sridharan (ICSPCS, 2012)

Modelling Passengers Flow at Airport Terminals - Individual Agent Decision Model for Stochastic Passenger Behaviour. - Wenbo Ma; Clinton Fookes; Tristan Kleinschmidt; Prasad K. D. V. Yarlagadda (SIMULTECH, 2012)

SAIVT-QUT@TRECVid 2012: Interactive Surveillance Event Detection. - Jingxin Xu; Simon Denman; Sridha Sridharan; Clinton Fookes (TRECVID, 2012)

Hessian-Based Affine Adaptation of Salient Local Image Features. - Ruan Lakemond; Sridha Sridharan; Clinton Fookes (J. Math. Imaging Vis., 2012)

Evaluation of image resolution and super-resolution on face recognition performance. - Clinton Fookes; Frank Lin; Vinod Chandran; Sridha Sridharan (J. Vis. Commun. Image Represent., 2012)

A Mask-Based Approach for the Geometric Calibration of Thermal-Infrared Cameras. - Stephen Vidas; Ruan Lakemond; Simon Denman; Clinton Fookes; Sridha Sridharan; Tim Wark (IEEE Trans. Instrum. Meas., 2012)

Identifying Customer Behaviour and Dwell Time Using Soft Biometrics. - Simon Denman; Alina Bialkowski; Clinton Fookes; Sridha Sridharan (Video Analytics for Business Intelligence, 2012)

Scene Invariant Crowd Counting and Crowd Occupancy Analysis. - David Ryan; Simon Denman; Sridha Sridharan; Clinton Fookes (Video Analytics for Business Intelligence, 2012)

Histogram of Weighted Local Directions for Gait Recognition. - Sabesan Sivapalan; Daniel Chen 002; Simon Denman; Sridha Sridharan; Clinton Fookes (CVPR Workshops, 2013)

Quality Based Frame Selection for Face Clustering in News Video. - Kaneswaran Anantharajah; Simon Denman; Dian Tjondronegoro; Sridha Sridharan; Clinton Fookes; Xufeng Guo (DICTA, 2013)

An Evaluation of Different Features and Learning Models for Anomalous Event Detection. - Hajananth Nallaivarothayan; David Ryan; Simon Denman; Sridha Sridharan; Clinton Fookes (DICTA, 2013)

Semi-Binary Based Video Features for Activity Representation. - Sabanadesan Umakanthan; Simon Denman; Clinton Fookes; Sridha Sridharan (DICTA, 2013)

Deformable face ensemble alignment with robust grouped-L1 anchors. - Xin Cheng; Clinton Fookes; Sridha Sridharan; Jason Saraghi; Simon Lucey (FG, 2013)

Liveness detection based on 3D face shape analysis. - Andrea Lagorio; Massimo Tistarelli; Marinella Cadoni; Clinton Fookes; Sridha Sridharan (IWBF, 2013)

Feature-domain super-resolution for iris recognition. - Kien Nguyen Thanh; Clinton Fookes; Sridha Sridharan; Simon Denman (Comput. Vis. Image Underst., 2013)

Evaluation of two-view geometry methods with automatic ground-truth generation. - Ruan Lakemond; Clinton Fookes; Sridha Sridharan (Image Vis. Comput., 2013)

An MRF based abnormal event detection approach using motion and appearance features. - Hajananth Nallaivarothayan; Clinton Fookes; Simon Denman; Sridha Sridharan (AVSS, 2014)

Automatic UAV Forced Landing Site Detection Using Machine Learning. - Xufeng Guo; Simon Denman; Clinton Fookes; Luis Mejías; Sridha Sridharan (DICTA, 2014)

Supervised Latent Dirichlet Allocation Models for Efficient Activity Representation. - Sabanadesan Umakanthan; Simon Denman; Clinton Fookes; Sridha Sridharan (DICTA, 2014)

Locating People in Video from Semantic Descriptions: A New Database and Approach. - Michael Halstead; Simon Denman; Sridha Sridharan; Clinton Fookes (ICPR, 2014)

Multiple Instance Dictionary Learning for Activity Representation. - Sabanadesan Umakanthan; Simon Denman; Clinton Fookes; Sridha Sridharan (ICPR, 2014)

SAIVT-ADMRG @ MediaEval 2014 Social Event Detection. - Simon Denman; David Dean; Clinton Fookes; Sridha Sridharan (MediaEval, 2014)

Analysis of passenger group behaviour and its impact on passenger flow using an agent-based model. - Lin Cheng; Clinton Fookes; Vikas Reddy; Prasad K. D. V. Yarlagadda (SIMULTECH, 2014)

Agent-based modelling of aircraft boarding methods. - Serter Iyigunlu; Clinton Fookes; Prasad K. D. V. Yarlagadda (SIMULTECH, 2014)

Social signal processing for pain monitoring using a hidden conditional random field. - Afsane Ghasemi; Xinyu Wei; Patrick Lucey; Sridha Sridharan; Clinton Fookes (SSP, 2014)

Activity recognition using binary tree SVM. - Sabanadesan Umakanthan; Simon Denman; Clinton Fookes; Sridha Sridharan (SSP, 2014)

Local inter-session variability modelling for object classification. - Kaneswaran Anantharajah; ZongYuan Ge; Chris McCool; Simon Denman; Clinton Fookes; Peter Corke; Dian Tjondronegoro; Sridha Sridharan (WACV, 2014)

Scene invariant multi camera crowd counting. - David Ryan; Simon Denman; Clinton Fookes; Sridha Sridharan (Pattern Recognit. Lett., 2014)

Real-time video event detection in crowded scenes using MPEG derived features: A multiple instance learning approach. - Jingxin Xu; Simon Denman; Vikas Reddy; Clinton Fookes; Sridha Sridharan (Pattern Recognit. Lett., 2014)

Optimal Camera Planning Under Versatile User Constraints in Multi-Camera Image Processing Systems. - Junbin Liu; Sridha Sridharan; Clinton Fookes; Tim Wark (IEEE Trans. Image Process., 2014)

Large scale monitoring of crowds and building utilisation: A new database and distributed approach. - Simon Denman; Clinton Fookes; David Ryan; Sridha Sridharan (AVSS, 2015)

Learning Temporal Alignment Uncertainty for Efficient Event Detection. - Iman Abbasnejad; Sridha Sridharan; Simon Denman; Clinton Fookes; Simon Lucey (DICTA, 2015)

Robust Automatic Face Clustering in News Video. - Kaneswaran Anantharajah; Simon Denman; Dian Tjondronegoro; Sridha Sridharan; Clinton Fookes (DICTA, 2015)

Closed-Form Solutions for Low-Rank Non-Rigid Reconstruction. - Jack Valmadre; Sridha Sridharan; Simon Denman; Clinton Fookes; Simon Lucey (DICTA, 2015)

Searching for semantic person queries using channel representations. - Simon Denman; Michael Halstead; Clinton Fookes; Sridha Sridharan (ICASSP, 2015)

Detecting rare events using Kullback-Leibler divergence. - Jingxin Xu; Simon Denman; Clinton Fookes; Sridha Sridharan (ICASSP, 2015)

Combat sports analytics: Boxing punch classification using overhead depthimagery. - Soudeh Kasiri Bidhendi; Clinton Fookes; Stuart Morgan; David T. Martin; Sridha Sridharan (ICIP, 2015)

Improving deep convolutional neural networks with unsupervised feature learning. - Kien Nguyen Thanh; Clinton Fookes; Sridha Sridharan (ICIP, 2015)

Class-specific sparse codes for representing activities. - Sabanadesan Umakanthan; Simon Denman; Clinton Fookes; Sridha Sridharan (ICIP, 2015)

Complete-linkage clustering for voice activity detection in audio and visual speech. - Houman Ghaemmaghami; David Dean; Shahram Kalantari; Sridha Sridharan; Clinton Fookes (INTERSPEECH, 2015)

Cross database training of audio-visual hidden Markov models for phone recognition. - Shahram Kalantari; David Dean; Houman Ghaemmaghami; Sridha Sridharan; Clinton Fookes (INTERSPEECH, 2015)

Acoustic Adaptation in Cross Database Audio Visual SHMM Training for Phonetic Spoken Term Detection. - Shahram Kalantari; David Dean; Sridha Sridharan; Houman Ghaemmaghami; Clinton Fookes (SLAM@ACM Multimedia, 2015)

An evaluation of crowd counting methods, features and regression models. - David Ryan; Simon Denman; Sridha Sridharan; Clinton Fookes (Comput. Vis. Image Underst., 2015)

A framework for model integration and holistic modelling of socio-technical systems. - Paul Pao-Yen Wu; Clinton Fookes; Jegar Pitchforth; Kerrie L. Mengersen (Decis. Support Syst., 2015)

Automatic surveillance in transportation hubs: No longer just about catching the bad guy. - Simon Denman; Tristan Kleinschmidt; David Ryan; Paul Barnes; Sridha Sridharan; Clinton Fookes (Expert Syst. Appl., 2015)

Searching for people using semantic soft biometric descriptions. - Simon Denman; Michael Halstead; Clinton Fookes; Sridha Sridharan (Pattern Recognit. Lett., 2015)

An Efficient and Robust System for Multiperson Event Detection in Real-World Indoor Surveillance Scenes. - Jingxin Xu; Simon Denman; Sridha Sridharan; Clinton Fookes (IEEE Trans. Circuits Syst. Video Technol., 2015)

Score-Level Multibiometric Fusion Based on Dempster-Shafer Theory Incorporating Uncertainty Factors. - Kien Nguyen Thanh; Simon Denman; Sridha Sridharan; Clinton Fookes (IEEE Trans. Hum. Mach. Syst., 2015)

Complex Event Detection Using Joint Max Margin and Semantic Features. - Iman Abbasnejad; Sridha Sridharan; Simon Denman; Clinton Fookes; Simon Lucey (DICTA, 2016)

Vertical Axis Detection for Sport Video Analytics. - Rui Zeng; Ruan Lakemond; Simon Denman; Sridha Sridharan; Clinton Fookes; Stuart Morgan (DICTA, 2016)

Deeper and wider fully convolutional network coupled with conditional random fields for scene labeling. - Kien Nguyen Thanh; Clinton Fookes; Sridha Sridharan (ICIP, 2016)

A robust UAV landing site detection system using mid-level discriminative patches. - Xufeng Guo; Simon Denman; Clinton Fookes; Sridha Sridharan (ICPR, 2016)

Speakers In The Wild (SITW): The QUT Speaker Recognition System. - Houman Ghaemmaghami; Md. Hafizur Rahman; Ivan Himawan; David Dean; Ahilan Kanagasundaram; Sridha Sridharan; Clinton Fookes (INTERSPEECH, 2016)

Short Utterance Variance Modelling and Utterance Partitioning for PLDA Speaker Verification. - Ahilan Kanagasundaram; David Dean; Sridha Sridharan; Clinton Fookes; Ivan Himawan (INTERSPEECH, 2016)

Discovery of facial motions using deep machine perception. - Afsaneh Ghasemi; Simon Denman; Sridha Sridharan; Clinton Fookes (WACV, 2016)

Domain adaptation based Speaker Recognition on Short Utterances. - Ahilan Kanagasundaram; David Dean; Sridha Sridharan; Clinton Fookes (CoRR, 2016)

DNN based Speaker Recognition on Short Utterances. - Ahilan Kanagasundaram; David Dean; Sridha Sridharan; Clinton Fookes (CoRR, 2016)

Improving Short Utterance PLDA Speaker Verification using SUV Modelling and Utterance Partitioning Approach. - Ahilan Kanagasundaram; David Dean; Sridha Sridharan; Clinton Fookes (CoRR, 2016)

Automatic Event Detection for Signal-based Surveillance. - Jingxin Xu; Clinton Fookes; Sridha Sridharan (CoRR, 2016)

Recent Advances in Camera Planning for Large Area Surveillance: A Comprehensive Review. - Junbin Liu; Sridha Sridharan; Clinton Fookes (ACM Comput. Surv., 2016)

Detecting rare events using Kullback-Leibler divergence: A weakly supervised approach. - Jingxin Xu; Simon Denman; Clinton Fookes; Sridha Sridharan (Expert Syst. Appl., 2016)

A flexible hierarchical approach for facial age estimation based on multiple features. - Jhony K. Pontes; Alceu S. Britto Jr.; Clinton Fookes; Alessandro L. Koerich (Pattern Recognit., 2016)

Discovering Team Structures in Soccer from Spatiotemporal Data. - Alina Bialkowski; Patrick Lucey; Peter Carr 001; Iain A. Matthews; Sridha Sridharan; Clinton Fookes (IEEE Trans. Knowl. Data Eng., 2016)

Compact Model Representation for 3D Reconstruction. - Jhony Kaesemodel Pontes; Chen Kong; Anders P. Eriksson; Clinton Fookes; Sridha Sridharan; Simon Lucey (3DV, 2017)

Two-stage facial age prediction using group-specific features. - Jhony K. Pontes; Clinton Fookes; Alceu S. Britto Jr.; Alessandro L. Koerich (ICASSP, 2017)

Deep features-based expression-invariant tied factor analysis for emotion recognition. - Sarasi Munasinghe; Clinton Fookes; Sridha Sridharan (IJCB, 2017)

Using Synthetic Data to Improve Facial Expression Analysis with 3D Convolutional Networks. - Iman Abbasnejad; Sridha Sridharan; Dung Nguyen Tien; Simon Denman; Clinton Fookes; Simon Lucey (ICCV Workshops, 2017)

Going Deeper: Autonomous Steering with Neural Memory Networks. - Tharindu Fernando; Simon Denman; Sridha Sridharan; Clinton Fookes (ICCV Workshops, 2017)

Probabilistic Surfel Fusion for Dense LiDAR Mapping. - Chanoh Park; Soohwan Kim; Peyman Moghadam; Clinton Fookes; Sridha Sridharan (ICCV Workshops, 2017)

A cascaded long short-term memory (LSTM) driven generic visual question answering (VQA). - Iqbal Chowdhury; Kien Nguyen 001; Clinton Fookes; Sridha Sridharan (ICIP, 2017)

Deep discovery of facial motions using a shallow embedding layer. - Afsaneh Ghasemi; Mahsa Baktashmotlagh; Simon Denman; Sridha Sridharan; Dung Nguyen Tien; Clinton Fookes (ICIP, 2017)

Single image depth prediction using super-column super-pixel features. - Xufeng Guo; Kien Nguyen 001; Simon Denman; Clinton Fookes; Sridha Sridharan (ICIP, 2017)

Facial analysis in the wild with LSTM networks. - Sarasi Kankanamge; Clinton Fookes; Sridha Sridharan (ICIP, 2017)

Gate connected convolutional neural network for object tracking. - Thanikasalam Kokul; Clinton Fookes; Sridha Sridharan; Amirthalingam Ramanan; U. A. J. Pinidiyaarachchi (ICIP, 2017)

From Affine Rank Minimization Solution to Sparse Modeling. - Iman Abbasnejad; Sridha Sridharan; Simon Denman; Clinton Fookes; Simon Lucey (WACV, 2017)

Two Stream LSTM: A Deep Fusion Framework for Human Action Recognition. - Harshala Gammulle; Simon Denman; Sridha Sridharan; Clinton Fookes (WACV, 2017)

Deep Context Modeling for Semantic Segmentation. - Kien Nguyen Thanh; Clinton Fookes; Sridha Sridharan (WACV, 2017)

Deep Spatio-Temporal Features for Multimodal Emotion Recognition. - Dung Nguyen Tien; Kien Nguyen Thanh; Sridha Sridharan; Afsane Ghasemi; David Dean; Clinton Fookes (WACV, 2017)

Joint Max Margin and Semantic Features for Continuous Event Detection in Complex Scenes. - Iman Abbasnejad; Sridha Sridharan; Simon Denman; Clinton Fookes; Simon Lucey (CoRR, 2017)

Soft + Hardwired Attention: An LSTM Framework for Human Trajectory Prediction and Abnormal Event Detection. - Tharindu Fernando; Simon Denman; Sridha Sridharan; Clinton Fookes (CoRR, 2017)

Fine-grained action recognition of boxing punches from depth imagery. - Soudeh Kasiri Bidhendi; Clinton Fookes; Sridha Sridharan; Stuart Morgan (Comput. Vis. Image Underst., 2017)

A study on the effects of using short utterance length development data in the design of GPLDA speaker verification systems. - Ahilan Kanagasundaram; David Dean; Sridha Sridharan; Houman Ghaemmaghami; Clinton Fookes (Int. J. Speech Technol., 2017)

Long range iris recognition: A survey. - Kien Nguyen Thanh; Clinton Fookes; Raghavender R. Jillela; Sridha Sridharan; Arun Ross (Pattern Recognit., 2017)

Locating People in Surveillance Video Using Soft Biometric Traits. - Simon Denman; Michael Halstead; Clinton Fookes; Sridha Sridharan (Handbook of Biometrics for Forensic Science, 2017)

GD-GAN: Generative Adversarial Networks for Trajectory Prediction and Group Detection in Crowds. - Tharindu Fernando; Simon Denman; Sridha Sridharan; Clinton Fookes (ACCV (1), 2018)

Multi-level Sequence GAN for Group Activity Recognition. - Harshala Gammulle; Simon Denman; Sridha Sridharan; Clinton Fookes (ACCV (1), 2018)

Learning Free-Form Deformations for 3D Object Reconstruction. - Dominic Jack; Jhony K. Pontes; Sridha Sridharan; Clinton Fookes; Sareh Shirazi; Frédéric Maire; Anders P. Eriksson (ACCV (2), 2018)

Image2Mesh: A Learning Framework for Single Image 3D Reconstruction. - Jhony K. Pontes; Chen Kong; Sridha Sridharan; Simon Lucey; Anders P. Eriksson; Clinton Fookes (ACCV (1), 2018)

Rethinking Planar Homography Estimation Using Perspective Fields. - Rui Zeng; Simon Denman; Sridha Sridharan; Clinton Fookes (ACCV (6), 2018)

Learning Temporal Strategic Relationships using Generative Adversarial Imitation Learning. - Tharindu Fernando; Simon Denman; Sridha Sridharan; Clinton Fookes (AAMAS, 2018)

Semantic Person Retrieval in Surveillance Using Soft Biometrics: AVSS 2018 Challenge II. - Michael Halstead; Simon Denman; Clinton Fookes; Yingli Tian; Mark S. Nixon (AVSS, 2018)

Deep Decision Trees for Discriminative Dictionary Learning With Adversarial Multi-Agent Trajectories. - Tharindu Fernando; Sridha Sridharan; Clinton Fookes; Simon Denman (CVPR Workshops, 2018)

Skeleton Driven Non-Rigid Motion Tracking and 3D Reconstruction. - Shafeeq Elanattil; Peyman Moghadam; Simon Denman; Sridha Sridharan; Clinton Fookes (DICTA, 2018)

Deep Classification of Epileptic Signals. - David Ahmedt-Aristizabal; Clinton Fookes; Kien Nguyen 001; Sridha Sridharan (EMBC, 2018)

Deep Motion Analysis for Epileptic Seizure Classification. - David Ahmedt-Aristizabal; Kien Nguyen 001; Simon Denman; Sridha Sridharan; Sasha Dionisio; Clinton Fookes (EMBC, 2018)

Performance of Registration Tools on High-Resolution 3D Brain Images. - Abdullah Nazib; James Galloway; Clinton Fookes; Dimitri Perrin (EMBC, 2018)

Calibrating Cameras in Poor-Conditioned Pitch-Based Sports Games. - Rui Zeng; Ruan Lakemond; Simon Denman; Sridha Sridharan; Clinton Fookes; Stuart Morgan (ICASSP, 2018)

Hierarchical Relational Attention for Video Question Answering. - Muhammad Iqbal Hasan Chowdhury; Kien Nguyen 001; Sridha Sridharan; Clinton Fookes (ICIP, 2018)

Deep Match Tracker: Classifying when Dissimilar, Similarity Matching when Not. - Thanikasalam Kokul; Clinton Fookes; Sridha Sridharan; Amirthalingam Ramanan; U. A. J. Pinidiyaarachchi (ICIP, 2018)

Non-rigid Reconstruction with a Single Moving RGB-D Camera. - Shafeeq Elanattil; Peyman Moghadam; Sridha Sridharan; Clinton Fookes; Mark Cox (ICPR, 2018)

Meta Transfer Learning for Facial Emotion Recognition. - Dung Nguyen Tien; Kien Nguyen 001; Sridha Sridharan; Iman Abbasnejad; David Dean; Clinton Fookes (ICPR, 2018)

Elastic LiDAR Fusion: Dense Map-Centric Continuous-Time SLAM. - Chanoh Park; Peyman Moghadam; Soohwan Kim; Alberto Elfes; Clinton Fookes; Sridha Sridharan (ICRA, 2018)

Employing Phonetic Information in DNN Speaker Embeddings to Improve Speaker Recognition Performance. - Md. Hafizur Rahman; Ivan Himawan; Mitchell McLaren; Clinton Fookes; Sridha Sridharan (INTERSPEECH, 2018)

Domain-invariant I-vector Feature Extraction for PLDA Speaker Verification. - Md. Hafizur Rahman; Ivan Himawan; David Dean; Clinton Fookes; Sridha Sridharan (Odyssey, 2018)

Pedestrian Trajectory Prediction with Structured Memory Hierarchies. - Tharindu Fernando; Simon Denman; Sridha Sridharan; Clinton Fookes (ECML/PKDD (1), 2018)

Investigating Deep Neural Networks for Speaker Diarization in the DIHARD Challenge. - Ivan Himawan; Md. Hafizur Rahman; Sridha Sridharan; Clinton Fookes; Ahilan Kanagasundaram (SLT, 2018)

Tracking by Prediction: A Deep Generative Model for Mutli-person Localisation and Tracking. - Tharindu Fernando; Simon Denman; Sridha Sridharan; Clinton Fookes (WACV, 2018)

Task Specific Visual Saliency Prediction with Memory Augmented Conditional Generative Adversarial Networks. - Tharindu Fernando; Simon Denman; Sridha Sridharan; Clinton Fookes (WACV, 2018)

A Deep Four-Stream Siamese Convolutional Neural Network with Joint Verification and Identification Loss for Person Re-Detection. - Amena Khatun; Simon Denman; Sridha Sridharan; Clinton Fookes (WACV, 2018)

Iris Recognition With Off-the-Shelf CNN Features: A Deep Learning Perspective. - Kien Nguyen Thanh; Clinton Fookes; Arun Ross; Sridha Sridharan (IEEE Access, 2018)

Fruit Quantity and Quality Estimation using a Robotic Vision System. - Michael Halstead; Chris McCool; Simon Denman; Tristan Perez; Clinton Fookes (CoRR, 2018)

Semantic Correspondence: A Hierarchical Approach. - Akila Pemasiri; Kien Nguyen 001; Sridha Sridharan; Clinton Fookes (CoRR, 2018)

Performance of Image Registration Tools on High-Resolution 3D Brain Images. - Abdullah Nazib; James Galloway; Clinton Fookes; Dimitri Perrin (CoRR, 2018)

A Comparative Analysis of Registration Tools: Traditional vs Deep Learning Approach on High Resolution Tissue Cleared Data. - Abdullah Nazib; Clinton Fookes; Dimitri Perrin (CoRR, 2018)

Deep spatio-temporal feature fusion with compact bilinear pooling for multimodal emotion recognition. - Dung Nguyen Tien; Kien Nguyen 001; Sridha Sridharan; David Dean; Clinton Fookes (Comput. Vis. Image Underst., 2018)

Human-level face verification with intra-personal factor analysis and deep face representation. - Sarasi Munasinghe; Clinton Fookes; Sridha Sridharan (IET Biom., 2018)

Tree Memory Networks for modelling long-term temporal dependencies. - Tharindu Fernando; Simon Denman; Aaron McFadyen; Sridha Sridharan; Clinton Fookes (Neurocomputing, 2018)

Soft + Hardwired attention: An LSTM framework for human trajectory prediction and abnormal event detection. - Tharindu Fernando; Simon Denman; Sridha Sridharan; Clinton Fookes (Neural Networks, 2018)

Super-resolution for biometrics: A comprehensive survey. - Kien Nguyen Thanh; Clinton Fookes; Sridha Sridharan; Massimo Tistarelli; Mark S. Nixon (Pattern Recognit., 2018)

Fruit Quantity and Ripeness Estimation Using a Robotic Vision System. - Michael Halstead; Christopher McCool; Simon Denman; Tristan Perez; Clinton Fookes (IEEE Robotics Autom. Lett., 2018)

Learning Salient Features for Multimodal Emotion Recognition with Recurrent Neural Networks and Attention Based Fusion. - Darshana Priyasad; Tharindu Fernando; Simon Denman; Sridha Sridharan; Clinton Fookes (AVSP, 2019)

Forecasting Future Action Sequences with Neural Memory Networks. - Harshala Gammulle; Simon Denman; Sridha Sridharan; Clinton Fookes (BMVC, 2019)

Unified 2D and 3D Hand Pose Estimation from a Single Visible or X-ray Image. - Akila Pemasiri; Kien Nguyen 001; Sridha Sridharan; Clinton Fookes (BMVC, 2019)

Vision-Based Mouth Motion Analysis in Epilepsy: A 3D Perspective. - David Ahmedt-Aristizabal; Kien Nguyen 001; Simon Denman; M. Saquib Sarfraz; Sridha Sridharan; Sasha Dionisio; Clinton Fookes (EMBC, 2019)

Motion Signatures for the Analysis of Seizure Evolution in Epilepsy. - David Ahmedt-Aristizabal; M. Saquib Sarfraz; Simon Denman; Kien Nguyen 001; Clinton Fookes; Sasha Dionisio; Rainer Stiefelhagen (EMBC, 2019)

A Vision-based System for Breathing Disorder Identification: A Deep Learning Perspective. - Manuel Martínez 001; David Ahmedt-Aristizabal; Tilman Väth; Clinton Fookes; Andreas Benz; Rainer Stiefelhagen (EMBC, 2019)

Investigating Domain Sensitivity of DNN Embeddings for Speaker Recognition Systems. - Md. Hafizur Rahman; Ivan Himawan; Sridha Sridharan; Clinton Fookes (ICASSP, 2019)

Predicting the Future: A Jointly Learnt Model for Action Anticipation. - Harshala Gammulle; Simon Denman; Sridha Sridharan; Clinton Fookes (ICCV, 2019)

Neighbourhood Context Embeddings in Deep Inverse Reinforcement Learning for Predicting Pedestrian Motion Over Long Time Horizons. - Tharindu Fernando; Simon Denman; Sridha Sridharan; Clinton Fookes (ICCV Workshops, 2019)

MTRNet: A Generic Scene Text Eraser. - Osman Tursun; Rui Zeng; Simon Denman; Sabesan Sivapalan; Sridha Sridharan; Clinton Fookes (ICDAR, 2019)

A Study of x-Vector Based Speaker Recognition on Short Utterances. - Ahilan Kanagasundaram; Sridha Sridharan; Sriram Ganapathy; Prachi Singh; Clinton Fookes (INTERSPEECH, 2019)

Towards Extreme-Resolution Image Registration with Deep Learning. - Abdullah Nazib; Clinton Fookes; Dimitri Perrin (ISBI, 2019)

Semantic Segmentation Of Hands In Multimodal Images: A Region New-Based CNN Approach. - Akila Pemasiri; David Ahmedt-Aristizabal; Kien Nguyen 001; Sridha Sridharan; Sasha Dionisio; Clinton Fookes (ISBI, 2019)

Coupled Generative Adversarial Network for Continuous Fine-Grained Action Segmentation. - Harshala Gammulle; Tharindu Fernando; Simon Denman; Sridha Sridharan; Clinton Fookes (WACV, 2019)

Semantic Correspondence in the Wild. - Akila Pemasiri; Kien Nguyen Thanh; Sridha Sridharan; Clinton Fookes (WACV, 2019)

Multi-Component Image Translation for Deep Domain Generalization. - Mohammad Mahfujur Rahman; Clinton Fookes; Mahsa Baktashmotlagh; Sridha Sridharan (WACV, 2019)

On Minimum Discrepancy Estimation for Deep Domain Adaptation. - Mohammad Mahfujur Rahman; Clinton Fookes; Mahsa Baktashmotlagh; Sridha Sridharan (CoRR, 2019)

Dense Deformation Network for High Resolution Tissue Cleared Image Registration. - Abdullah Nazib; Clinton Fookes; Dimitri Perrin (CoRR, 2019)

Neural Memory Plasticity for Anomaly Detection. - Tharindu Fernando; Simon Denman; David Ahmedt-Aristizabal; Sridha Sridharan; Kristin R. Laurens; Patrick J. Johnston; Clinton Fookes (CoRR, 2019)

Exploiting Human Social Cognition for the Detection of Fake and Fraudulent Faces via Memory Networks. - Tharindu Fernando; Clinton Fookes; Simon Denman; Sridha Sridharan (CoRR, 2019)

Neural Memory Networks for Robust Classification of Seizure Type. - David Ahmedt-Aristizabal; Tharindu Fernando; Simon Denman; Lars Petersson; Matthew J. Aburn; Clinton Fookes (CoRR, 2019)

Deep domain adaptation for anti-spoofing in speaker verification systems. - Ivan Himawan; Fernando Villavicencio; Sridha Sridharan; Clinton Fookes (Comput. Speech Lang., 2019)

Multimodal clothing recognition for semantic search in unconstrained surveillance imagery. - Michael Halstead; Simon Denman; Sridha Sridharan; Yingli Tian; Clinton Fookes (J. Vis. Commun. Image Represent., 2019)

Sparse over-complete patch matching. - Akila Pemasiri; Kien Nguyen Thanh; Sridha Sridharan; Clinton Fookes (Pattern Recognit. Lett., 2019)

Robust Photogeometric Localization Over Time for Map-Centric Loop Closure. - Chanoh Park; Soohwan Kim; Peyman Moghadam; Jiadong Guo; Sridha Sridharan; Clinton Fookes (IEEE Robotics Autom. Lett., 2019)

Scene Invariant Virtual Gates Using DNNs. - Simon Denman; Clinton Fookes; Prasad K. D. V. Yarlagadda; Sridha Sridharan (IEEE Trans. Circuits Syst. Video Technol., 2019)

Understanding Patients' Behavior: Vision-Based Analysis of Seizure Disorders. - David Ahmedt-Aristizabal; Simon Denman; Kien Nguyen 001; Sridha Sridharan; Sasha Dionisio; Clinton Fookes (IEEE J. Biomed. Health Informatics, 2019)

Voice Presentation Attack Detection Using Convolutional Neural Networks. - Ivan Himawan; Srikanth R. Madikeri; Petr Motlícek; Milos Cernak; Sridha Sridharan; Clinton Fookes (Handbook of Biometric Anti-Spoofing, 2nd Ed., 2019)

On Minimum Discrepancy Estimation for Deep Domain Adaptation. - Mohammad Mahfujur Rahman; Clinton Fookes; Mahsa Baktashmotlagh; Sridha Sridharan (Domain Adaptation for Visual Understanding, 2020)

Geometry-Constrained Car Recognition Using a 3D Perspective Network. - Rui Zeng; Zongyuan Ge; Simon Denman; Sridha Sridharan; Clinton Fookes (AAAI, 2020)

Fruit Detection in the Wild: The Impact of Varying Conditions and Cultivar. - Michael Halstead; Simon Denman; Clinton Fookes; Chris McCool (DICTA, 2020)

Attention Networks for Multi-Task Signal Analysis. - David Ahmedt-Aristizabal; Mohammad Ali Armin; Simon Denman; Clinton Fookes; Lars Petersson (EMBC, 2020)

Neural Memory Networks for Seizure Type Classification. - David Ahmedt-Aristizabal; Tharindu Fernando; Simon Denman; Lars Petersson; Matthew J. Aburn; Clinton Fookes (EMBC, 2020)

Attention Driven Fusion for Multi-Modal Emotion Recognition. - Darshana Priyasad; Tharindu Fernando; Simon Denman; Sridha Sridharan; Clinton Fookes (ICASSP, 2020)

Two-Stream Deep Feature Modelling for Automated Video Endoscopy Data Analysis. - Harshala Gammulle; Simon Denman; Sridha Sridharan; Clinton Fookes (MICCAI (3), 2020)

3D Brain MRI GAN-Based Synthesis Conditioned on Partial Volume Maps. - Filip Rusak; Rodrigo Santa Cruz; Pierrick Bourgeat; Clinton Fookes; Jurgen Fripp; Andrew P. Bradley; Olivier Salvado (SASHIMI@MICCAI, 2020)

Semantic Consistency and Identity Mapping Multi-Component Generative Adversarial Network for Person Re-Identification. - Amena Khatun; Simon Denman; Sridha Sridharan; Clinton Fookes (WACV, 2020)

Enhancing Feature Invariance with Learned Image Transformations for Image Retrieval. - Osman Tursun; Simon Denman; Sridha Sridharan; Clinton Fookes (CoRR, 2020)

Joint Deep Cross-Domain Transfer Learning for Emotion Recognition. - Dung Nguyen 001; Sridha Sridharan; Duc Thanh Nguyen; Simon Denman; Son N. Tran; Rui Zeng; Clinton Fookes (CoRR, 2020)

Temporarily-Aware Context Modelling using Generative Adversarial Networks for Speech Activity Detection. - Tharindu Fernando; Sridha Sridharan; Mitchell McLaren; Darshana Priyasad; Simon Denman; Clinton Fookes (CoRR, 2020)

Understanding the Importance of Heart Sound Segmentation for Heart Anomaly Detection. - Theekshana Dissanayake; Tharindu Fernando; Simon Denman; Sridha Sridharan; Houman Ghaemmaghami; Clinton Fookes (CoRR, 2020)

Bayesian Neural Networks: An Introduction and Survey. - Ethan Goan; Clinton Fookes (CoRR, 2020)

Meta Transfer Learning for Emotion Recognition. - Dung Nguyen 001; Sridha Sridharan; Duc Thanh Nguyen; Simon Denman; David Dean; Clinton Fookes (CoRR, 2020)

Memory Based Attentive Fusion. - Darshana Priyasad; Tharindu Fernando; Simon Denman; Sridha Sridharan; Clinton Fookes (CoRR, 2020)

Multi-modal Fusion for Single-Stage Continuous Gesture Recognition. - Harshala Gammulle; Simon Denman; Sridha Sridharan; Clinton Fookes (CoRR, 2020)

Fast & Slow Learning: Incorporating Synthetic Gradients in Neural Memory Controllers. - Tharindu Fernando; Simon Denman; Sridha Sridharan; Clinton Fookes (CoRR, 2020)

Patient-independent Epileptic Seizure Prediction using Deep Learning Models. - Theekshana Dissanayake; Tharindu Fernando; Simon Denman; Sridha Sridharan; Clinton Fookes (CoRR, 2020)

LSTM guided ensemble correlation filter tracking with appearance model pool. - Monika Jain; A. Venkata Subramanyam; Simon Denman; Sridha Sridharan; Clinton Fookes (Comput. Vis. Image Underst., 2020)

Joint identification-verification for person re-identification: A four stream deep learning approach with improved quartet loss function. - Amena Khatun; Simon Denman; Sridha Sridharan; Clinton Fookes (Comput. Vis. Image Underst., 2020)

MTRNet++: One-stage mask-based scene text eraser. - Osman Tursun; Simon Denman; Rui Zeng; Sabesan Sivapalan; Sridha Sridharan; Clinton Fookes (Comput. Vis. Image Underst., 2020)

Neural memory plasticity for medical anomaly detection. - Tharindu Fernando; Simon Denman; David Ahmedt-Aristizabal; Sridha Sridharan; Kristin R. Laurens; Patrick J. Johnston; Clinton Fookes (Neural Networks, 2020)

Fine-grained action segmentation using the semi-supervised action GAN. - Harshala Gammulle; Simon Denman; Sridha Sridharan; Clinton Fookes (Pattern Recognit., 2020)

Context from within: Hierarchical context modeling for semantic segmentation. - Kien Nguyen 001; Clinton Fookes; Sridha Sridharan (Pattern Recognit., 2020)

Correlation-aware adversarial domain adaptation and generalization. - Mohammad Mahfujur Rahman; Clinton Fookes; Mahsa Baktashmotlagh; Sridha Sridharan (Pattern Recognit., 2020)

Hierarchical Attention Network for Action Segmentation. - Harshala Gammulle; Simon Denman; Sridha Sridharan; Clinton Fookes (Pattern Recognit. Lett., 2020)

Spatiotemporal Camera-LiDAR Calibration: A Targetless and Structureless Approach. - Chanoh Park; Peyman Moghadam; Soohwan Kim; Sridha Sridharan; Clinton Fookes (IEEE Robotics Autom. Lett., 2020)

Temporarily-Aware Context Modeling Using Generative Adversarial Networks for Speech Activity Detection. - Tharindu Fernando; Sridha Sridharan; Mitchell McLaren; Darshana Priyasad; Simon Denman; Clinton Fookes (IEEE ACM Trans. Audio Speech Lang. Process., 2020)

Target-Specific Siamese Attention Network for Real-Time Object Tracking. - Thanikasalam Kokul; Clinton Fookes; Sridha Sridharan; Amirthalingam Ramanan; Amalka Pinidiyaarachchi (IEEE Trans. Inf. Forensics Secur., 2020)

Constrained Design of Deep Iris Networks. - Kien Nguyen 001; Clinton Fookes; Sridha Sridharan (IEEE Trans. Image Process., 2020)

Heart Sound Segmentation Using Bidirectional LSTMs With Attention. - Tharindu Fernando; Houman Ghaemmaghami; Simon Denman; Sridha Sridharan; Nayyar Hussain; Clinton Fookes (IEEE J. Biomed. Health Informatics, 2020)

Memory Augmented Deep Generative Models for Forecasting the Next Shot Location in Tennis. - Tharindu Fernando; Simon Denman; Sridha Sridharan; Clinton Fookes (IEEE Trans. Knowl. Data Eng., 2020)

MongeNet: Efficient Sampler for Geometric Deep Learning. - Léo Lebrat; Rodrigo Santa Cruz; Clinton Fookes; Olivier Salvado (CVPR, 2021)

A Comparison of Saliency Methods for Deep Learning Explainability. - Salamata Konate; Léo Lebrat; Rodrigo Santa Cruz; Elliot Smith 003; Andrew P. Bradley; Clinton Fookes; Olivier Salvado (DICTA, 2021)

Reduction of Feature Contamination for Hyper Spectral Image Classification. - Sutharsan Mahendren; Tharindu Fernando; Sridha Sridharan; Peyman Moghadam; Clinton Fookes (DICTA, 2021)

Learning Regional Attention Over Multi-Resolution Deep Convolutional Features For Trademark Retrieval. - Osman Tursun; Simon Denman; Sridha Sridharan; Clinton Fookes (ICIP, 2021)

Locus: LiDAR-based Place Recognition using Spatiotemporal Higher-Order Pooling. - Kavisha Vidanapathirana; Peyman Moghadam; Ben Harwood; Muming Zhao; Sridha Sridharan; Clinton Fookes (ICRA, 2021)

Going Deeper With Brain Morphometry Using Neural Networks. - Rodrigo Santa Cruz; Léo Lebrat; Pierrick Bourgeat; Vincent Doré; Jason Dowling; Jurgen Fripp; Clinton Fookes; Olivier Salvado (ISBI, 2021)

Smocam: Smooth Conditional Attention Mask For 3d-Regression Models. - Salamata Konate; Léo Lebrat; Rodrigo Santa Cruz; Pierrick Bourgeat; Vincent Doré; Jurgen Fripp; Andrew P. Bradley; Clinton Fookes; Olivier Salvado (ISBI, 2021)

A Multiple Decoder Cnn For Inverse Consistent 3d Image Registration. - Abdullah Nazib; Clinton Fookes; Olivier Salvado; Dimitri Perrin (ISBI, 2021)

Detail Matters: High-Frequency Content for Realistic Synthetic MRI Generation. - Filip Rusak; Rodrigo Santa Cruz; Elliot Smith 003; Jurgen Fripp; Clinton Fookes; Pierrick Bourgeat; Andrew P. Bradley (SASHIMI@MICCAI, 2021)

CorticalFlow: A Diffeomorphic Mesh Transformer Network for Cortical Surface Reconstruction. - Léo Lebrat; Rodrigo Santa Cruz; Frédéric de Gournay; Darren Fu; Pierrick Bourgeat; Jurgen Fripp; Clinton Fookes; Olivier Salvado (NeurIPS, 2021)

DeepCSR: A 3D Deep Learning Approach for Cortical Surface Reconstruction. - Rodrigo Santa Cruz; Léo Lebrat; Pierrick Bourgeat; Clinton Fookes; Jurgen Fripp; Olivier Salvado (WACV, 2021)

IGSSTRCF: Importance Guided Sparse Spatio-Temporal Regularized Correlation Filters For Tracking. - Monika Jain; A. Venkata Subramanyam; Simon Denman; Sridha Sridharan; Clinton Fookes (WACV, 2021)

Im2Mesh GAN: Accurate 3D Hand Mesh Recovery from a Single RGB Image. - Akila Pemasiri; Kien Nguyen Thanh; Sridha Sridharan; Clinton Fookes (CoRR, 2021)

Deep Domain Generalization with Feature-norm Network. - Mohammad Mahfujur Rahman; Clinton Fookes; Sridha Sridharan (CoRR, 2021)

Preserving Semantic Consistency in Unsupervised Domain Adaptation Using Generative Adversarial Networks. - Mohammad Mahfujur Rahman; Clinton Fookes; Sridha Sridharan (CoRR, 2021)

Multi-Slice Net: A novel light weight framework for COVID-19 Diagnosis. - Harshala Gammulle; Tharindu Fernando; Sridha Sridharan; Simon Denman; Clinton Fookes (CoRR, 2021)

Discriminative Domain-Invariant Adversarial Network for Deep Domain Generalization. - Mohammad Mahfujur Rahman; Clinton Fookes; Sridha Sridharan (CoRR, 2021)

Point Cloud Segmentation Using Sparse Temporal Local Attention. - Joshua Knights; Peyman Moghadam; Clinton Fookes; Sridha Sridharan (CoRR, 2021)

Multi-modal semantic image segmentation. - Akila Pemasiri; Kien Nguyen 001; Sridha Sridharan; Clinton Fookes (Comput. Vis. Image Underst., 2021)

Memory based fusion for multi-modal deep learning. - Darshana Priyasad; Tharindu Fernando; Simon Denman; Sridha Sridharan; Clinton Fookes (Inf. Fusion, 2021)

Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future. - David Ahmedt-Aristizabal; Mohammad Ali Armin; Simon Denman; Clinton Fookes; Lars Petersson (Sensors, 2021)

Deep Inverse Reinforcement Learning for Behavior Prediction in Autonomous Driving: Accurate Forecasts of Vehicle Motion. - Tharindu Fernando; Simon Denman; Sridha Sridharan; Clinton Fookes (IEEE Signal Process. Mag., 2021)

Domain Generalization in Biosignal Classification. - Theekshana Dissanayake; Tharindu Fernando; Simon Denman; Houman Ghaemmaghami; Sridha Sridharan; Clinton Fookes (IEEE Trans. Biomed. Eng., 2021)

Detection of Fake and Fraudulent Faces via Neural Memory Networks. - Tharindu Fernando; Clinton Fookes; Simon Denman; Sridha Sridharan (IEEE Trans. Inf. Forensics Secur., 2021)

End-to-End Domain Adaptive Attention Network for Cross-Domain Person Re-Identification. - Amena Khatun; Simon Denman; Sridha Sridharan; Clinton Fookes (IEEE Trans. Inf. Forensics Secur., 2021)

TMMF: Temporal Multi-Modal Fusion for Single-Stage Continuous Gesture Recognition. - Harshala Gammulle; Simon Denman; Sridha Sridharan; Clinton Fookes (IEEE Trans. Image Process., 2021)

Identification of Children at Risk of Schizophrenia via Deep Learning and EEG Responses. - David Ahmedt-Aristizabal; Tharindu Fernando; Simon Denman; Jonathan Edward Robinson; Sridha Sridharan; Patrick J. Johnston; Kristin R. Laurens; Clinton Fookes (IEEE J. Biomed. Health Informatics, 2021)

A Robust Interpretable Deep Learning Classifier for Heart Anomaly Detection Without Segmentation. - Theekshana Dissanayake; Tharindu Fernando; Simon Denman; Sridha Sridharan; Houman Ghaemmaghami; Clinton Fookes (IEEE J. Biomed. Health Informatics, 2021)

Does Interference Exist When Training a Once-For-All Network? - Jordan Shipard; Arnold Wiliem; Clinton Fookes (CVPR Workshops, 2022)

SESS: Saliency Enhancing with Scaling and Sliding. - Osman Tursun; Simon Denman; Sridha Sridharan; Clinton Fookes (ECCV (12), 2022)

LoGG3D-Net: Locally Guided Global Descriptor Learning for 3D Place Recognition. - Kavisha Vidanapathirana; Milad Ramezani; Peyman Moghadam; Sridha Sridharan; Clinton Fookes (ICRA, 2022)

Detecting Heart Failure Through Voice Analysis using Self-Supervised Mode-Based Memory Fusion. - Darshana Priyasad; Andi Partovi; Sridha Sridharan; Maryam Kashefpoor; Tharindu Fernando; Simon Denman; Clinton Fookes; Jia Tang; David Kaye (INTERSPEECH, 2022)

InCloud: Incremental Learning for Point Cloud Place Recognition. - Joshua Knights; Peyman Moghadam; Milad Ramezani; Sridha Sridharan; Clinton Fookes (IROS, 2022)

CorticalFlow++: Boosting Cortical Surface Reconstruction Accuracy, Regularity, and Interoperability. - Rodrigo Santa Cruz; Léo Lebrat; Darren Fu; Pierrick Bourgeat; Jurgen Fripp; Clinton Fookes; Olivier Salvado (MICCAI (5), 2022)

Lesser of Two Evils Improves Learning in the Context of Cortical Thickness Estimation Models - Choose Wisely. - Filip Rusak; Rodrigo Santa Cruz; Elliot Smith 003; Jurgen Fripp; Clinton Fookes; Pierrick Bourgeat; Andrew P. Bradley (DALI@MICCAI, 2022)

Jointly Trained Conversion Model With LPCNet for Any-to-One Voice Conversion Using Speaker-Independent Linguistic Features. - Ivan Himawan; Ruizhe Wang; Sridha Sridharan; Clinton Fookes (IEEE Access, 2022)

When AI meets store layout design: a review. - Kien Nguyen 001; Minh Le; Brett Martin; Ibrahim Cil; Clinton Fookes (Artif. Intell. Rev., 2022)

A survey on graph-based deep learning for computational histopathology. - David Ahmedt-Aristizabal; Mohammad Ali Armin; Simon Denman; Clinton Fookes; Lars Petersson (Comput. Medical Imaging Graph., 2022)

The State of Aerial Surveillance: A Survey. - Kien Nguyen Thanh; Clinton Fookes; Sridha Sridharan; Yingli Tian; Feng Liu 037; Xiaoming Liu 002; Arun Ross (CoRR, 2022)

Learning Dense Correspondence from Synthetic Environments. - Mithun Lal; Anthony Paproki; Nariman Habili; Lars Petersson; Olivier Salvado; Clinton Fookes (CoRR, 2022)

Towards On-Board Panoptic Segmentation of Multispectral Satellite Images. - Tharindu Fernando; Clinton Fookes; Harshala Gammulle; Simon Denman; Sridha Sridharan (CoRR, 2022)

CorticalFlow: A Diffeomorphic Mesh Deformation Module for Cortical Surface Reconstruction. - Léo Lebrat; Rodrigo Santa Cruz; Frédéric de Gournay; Darren Fu; Pierrick Bourgeat; Jurgen Fripp; Clinton Fookes; Olivier Salvado (CoRR, 2022)

Using Auxiliary Information for Person Re-Identification - A Tutorial Overview. - Tharindu Fernando; Clinton Fookes; Sridha Sridharan; Dana Michalski (CoRR, 2022)

Deep Learning for Medical Anomaly Detection - A Survey. - Tharindu Fernando; Harshala Gammulle; Simon Denman; Sridha Sridharan; Clinton Fookes (ACM Comput. Surv., 2022)

Learning test-time augmentation for content-based image retrieval. - Osman Tursun; Simon Denman; Sridha Sridharan; Clinton Fookes (Comput. Vis. Image Underst., 2022)

Affect recognition from scalp-EEG using channel-wise encoder networks coupled with geometric deep learning and multi-channel feature fusion. - Darshana Priyasad; Tharindu Fernando; Simon Denman; Sridha Sridharan; Clinton Fookes (Knowl. Based Syst., 2022)

Quantifiable brain atrophy synthesis for benchmarking of cortical thickness estimation methods. - Filip Rusak; Rodrigo Santa Cruz; Léo Lebrat; Ondrej Hlinka; Jurgen Fripp; Elliot Smith 003; Clinton Fookes; Andrew P. Bradley; Pierrick Bourgeat (Medical Image Anal., 2022)

Split 'n' merge net: A dynamic masking network for multi-task attention. - Tharindu Fernando; Sridha Sridharan; Simon Denman; Clinton Fookes (Pattern Recognit., 2022)

An efficient framework for zero-shot sketch-based image retrieval. - Osman Tursun; Simon Denman; Sridha Sridharan; Ethan Goan; Clinton Fookes (Pattern Recognit., 2022)

Channel Graph Regularized Correlation Filters for Visual Object Tracking. - Monika Jain; Arjun Tyagi; A. Venkata Subramanyam; Simon Denman; Sridha Sridharan; Clinton Fookes (IEEE Trans. Circuits Syst. Video Technol., 2022)

3-D Bi-directional LSTM for Satellite Soil Moisture Downscaling. - Neethu Madhukumar; Eric Wang 001; Clinton Fookes; Wei Xiang 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

Component-Based Attention for Large-Scale Trademark Retrieval. - Osman Tursun; Simon Denman; Sabesan Sivapalan; Sridha Sridharan; Clinton Fookes; Sandra Mau (IEEE Trans. Inf. Forensics Secur., 2022)

Geometric Deep Learning for Subject Independent Epileptic Seizure Prediction Using Scalp EEG Signals. - Theekshana Dissanayake; Tharindu Fernando; Simon Denman; Sridha Sridharan; Clinton Fookes (IEEE J. Biomed. Health Informatics, 2022)

Robust and Interpretable Temporal Convolution Network for Event Detection in Lung Sound Recordings. - Tharindu Fernando; Sridha Sridharan; Simon Denman; Houman Ghaemmaghami; Clinton Fookes (IEEE J. Biomed. Health Informatics, 2022)

Deep Auto-Encoders With Sequential Learning for Multimodal Dimensional Emotion Recognition. - Dung Nguyen 001; Duc Thanh Nguyen; Rui Zeng; Thanh Thi Nguyen 001; Son N. Tran; Thin Nguyen; Sridha Sridharan; Clinton Fookes (IEEE Trans. Multim., 2022)

Elasticity Meets Continuous-Time: Map-Centric Dense 3D LiDAR SLAM. - Chanoh Park; Peyman Moghadam; Jason L. Williams; Soohwan Kim; Sridha Sridharan; Clinton Fookes (IEEE Trans. Robotics, 2022)

Uncertainty in Real-Time Semantic Segmentation on Embedded Systems. - Ethan Goan; Clinton Fookes (CVPR Workshops, 2023)

Diversity is Definitely Needed: Improving Model-Agnostic Zero-shot Classification via Stable Diffusion. - Jordan Shipard; Arnold Wiliem; Kien Nguyen Thanh; Wei Xiang 001; Clinton Fookes (CVPR Workshops, 2023)

Multi-Task Learning For Radar Signal Characterisation. - Zi Huang; Akila Pemasiri; Simon Denman; Clinton Fookes; Terrence Martin (ICASSP Workshops, 2023)

Bias Identification with RankPix Saliency. - Salamata Konate; Léo Lebrat; Rodrigo Santa Cruz; Clinton Fookes; Andrew P. Bradley; Olivier Salvado (ICASSP, 2023)

AG-ReID 2023: Aerial-Ground Person Re-identification Challenge Results. - Kien Nguyen 001; Clinton Fookes; Sridha Sridharan; Feng Liu 037; Xiaoming Liu 002; Arun Ross; Dana Michalski; Huy Nguyen; Debayan Deb; Mahak Kothari; Manisha Saini; Dawei Du; et al. (IJCB, 2023)

Aerial-Ground Person Re-ID. - Huy Nguyen; Kien Nguyen 001; Sridha Sridharan; Clinton Fookes (ICME, 2023)

Wild-Places: A Large-Scale Dataset for Lidar Place Recognition in Unstructured Natural Environments. - Joshua Knights; Kavisha Vidanapathirana; Milad Ramezani; Sridha Sridharan; Clinton Fookes; Peyman Moghadam (ICRA, 2023)

Dual Memory Fusion for Multimodal Speech Emotion Recognition. - Darshana Prisayad; Tharindu Fernando; Sridha Sridharan; Simon Denman; Clinton Fookes (INTERSPEECH, 2023)

Generalization Properties of Geometric 3D Deep Learning Models for Medical Segmentation. - Léo Lebrat; Rodrigo Santa Cruz; Reuben Dorent; Javier Urriola Yaksic; Alex M. Pagnozzi; Gregg Belous; Pierrick Bourgeat; Jurgen Fripp; Clinton Fookes; Olivier Salvado (ISBI, 2023)

When to Use Augmentation - Variability Insufficient for Cortical Thickness Estimation Improvement. - Filip Rusak; Rodrigo Santa Cruz; Hilda Chourak; Elliot Smith 003; Jurgen Fripp; Clinton Fookes; Pierrick Bourgeat; Andrew P. Bradley (ISBI, 2023)

Enhancing Emitter Localization Accuracy Through Integration of Received Signal Strength in Direct Position Determination. - Fraser Williams; Dhammika Jayalath; Anju Jose Tom; Terrence Martin; Clinton Fookes (SSP, 2023)

Piecewise Deterministic Markov Processes for Bayesian Neural Networks. - Ethan Goan; Dimitri Perrin; Kerrie L. Mengersen; Clinton Fookes (UAI, 2023)

DBCE : A Saliency Method for Medical Deep Learning Through Anatomically-Consistent Free-Form Deformations. - Joshua Peters; Léo Lebrat; Rodrigo Santa Cruz; Aaron Nicolson; Gregg Belous; Salamata Konate; Parnesh Raniga; Vincent Doré; Pierrick Bourgeat; Jurgen Mejan-Fripp; Clinton Fookes; Olivier Salvado (WACV, 2023)

Boosting Zero-shot Classification with Synthetic Data Diversity via Stable Diffusion. - Jordan Shipard; Arnold Wiliem; Kien Nguyen Thanh; Wei Xiang 001; Clinton Fookes (CoRR, 2023)

Uncertainty Driven Bottleneck Attention U-net for OAR Segmentation. - Abdullah Nazib; Riad Hassan; Nosin Ibn Mahbub; Zahidul Islam; Clinton Fookes (CoRR, 2023)

Towards Self-Explainability of Deep Neural Networks with Heatmap Captioning and Large-Language Models. - Osman Tursun; Simon Denman; Sridha Sridharan; Clinton Fookes (CoRR, 2023)

General-Purpose Multimodal Transformer meets Remote Sensing Semantic Segmentation. - Nhi Kieu; Kien Nguyen 001; Sridha Sridharan; Clinton Fookes (CoRR, 2023)

GeoAdapt: Self-Supervised Test-Time Adaption in LiDAR Place Recognition Using Geometric Priors. - Joshua Knights; Stephen Hausler; Sridha Sridharan; Clinton Fookes; Peyman Moghadam (CoRR, 2023)

Learning Through Guidance: Knowledge Distillation for Endoscopic Image Classification. - Harshala Gammulle; Yubo Chen 006; Sridha Sridharan; Travis Klein; Clinton Fookes (CoRR, 2023)

FactoFormer: Factorized Hyperspectral Transformers with Self-Supervised Pre-Training. - Shaheer Mohamed; Maryam Haghighat; Tharindu Fernando; Sridha Sridharan; Clinton Fookes; Peyman Moghadam (CoRR, 2023)

Deep Learning Approaches for Seizure Video Analysis: A Review. - David Ahmedt-Aristizabal; Mohammad Ali Armin; Zeeshan Hayder; Norberto Garcia-Cairasco; Lars Petersson; Clinton Fookes; Simon Denman; Aileen McGonigal (CoRR, 2023)

Continuous Human Action Recognition for Human-machine Interaction: A Review. - Harshala Gammulle; David Ahmedt-Aristizabal; Simon Denman; Lachlan Tychsen-Smith; Lars Petersson; Clinton Fookes (ACM Comput. Surv., 2023)

Complex-Valued Iris Recognition Network. - Kien Nguyen 001; Clinton Fookes; Sridha Sridharan; Arun Ross (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Toward On-Board Panoptic Segmentation of Multispectral Satellite Images. - Tharindu Fernando; Clinton Fookes; Harshala Gammulle; Simon Denman; Sridha Sridharan (IEEE Trans. Geosci. Remote. Sens., 2023)

Generalized Generative Deep Learning Models for Biosignal Synthesis and Modality Transfer. - Theekshana Dissanayake; Tharindu Fernando; Simon Denman; Sridha Sridharan; Clinton Fookes (IEEE J. Biomed. Health Informatics, 2023)

Diversity is Definitely Needed: Improving Model-Agnostic Zero-shot Classification via Stable Diffusion. - Jordan Shipard; Arnold Wiliem; Kien Nguyen Thanh; Wei Xiang 001; Clinton Fookes (Zenodo, 2023)

Diversity is Definitely Needed: Improving Model-Agnostic Zero-shot Classification via Stable Diffusion. - Jordan Shipard; Arnold Wiliem; Kien Nguyen Thanh; Wei Xiang 001; Clinton Fookes (Zenodo, 2023)

Diversity is Definitely Needed: Improving Model-Agnostic Zero-shot Classification via Stable Diffusion. - Jordan Shipard; Arnold Wiliem; Kien Nguyen Thanh; Wei Xiang 001; Clinton Fookes (Zenodo, 2023)

Meta-transfer learning for emotion recognition. - Dung Nguyen 001; Duc Thanh Nguyen; Sridha Sridharan; Simon Denman; Thanh Nguyen 004; David Dean; Clinton Fookes (Neural Comput. Appl., 2023)

Pose-driven attention-guided image generation for person re-Identification. - Amena Khatun; Simon Denman; Sridha Sridharan; Clinton Fookes (Pattern Recognit., 2023)

Spectral Geometric Verification: Re-Ranking Point Cloud Retrieval for Metric Localization. - Kavisha Vidanapathirana; Peyman Moghadam; Sridha Sridharan; Clinton Fookes (IEEE Robotics Autom. Lett., 2023)

Multi-stage stacked temporal convolution neural networks (MS-S-TCNs) for biosignal segmentation and anomaly localization. - Theekshana Dissanayake; Tharindu Fernando; Simon Denman; Sridha Sridharan; Clinton Fookes (Pattern Recognit., 2023)

NeRF Director: Revisiting View Selection in Neural Volume Rendering. - Wenhui Xiao; Rodrigo Santa Cruz; David Ahmedt-Aristizabal; Olivier Salvado; Clinton Fookes; Léo Lebrat (CVPR, 2024)

Automated Radiomics Based Clinically Significant Prostate Cancer (csPCa) Grade Classification from Biparametric MRI. - Md Rakibul Islam; Abdullah Nazib; Riad Hassan; Abu Rumman Refat; Kien Nguyen Thanh; Clinton Fookes; Md Zahidul Islam (DICTA, 2024)

Multi-Stage Learning for Radar Pulse Activity Segmentation. - Zi Huang; Akila Pemasiri; Simon Denman; Clinton Fookes; Terrence Martin (ICASSP, 2024)

Automatic Radar Signal Detection and FFT Estimation using Deep Learning. - Akila Pemasiri; Zi Huang; Fraser Williams; Ethan Goan; Simon Denman; Terrence Martin; Clinton Fookes (ICSPCS, 2024)

Syn3DWound: A Synthetic Dataset for 3D Wound Bed Analysis. - Léo Lebrat; Rodrigo Santa Cruz; Remi Chierchia; Yulia Arzhaeva; Mohammad Ali Armin; Joshua Goldsmith; Jeremy Oorloff; Prithvi Reddy; Chuong Nguyen; Lars Petersson; Michelle Barakat-Johnson; Georgina Luscombe; et al. (ISBI, 2024)

Uncertainty Driven Bottleneck Attention U-Net For Organ at Risk Segmentation. - Abdullah Nazib; Riad Hassan; Zahidul Islam; Clinton Fookes (ISBI, 2024)

Localisation of Racial Information in Chest X-Ray for Deep Learning Diagnosis. - Olivier Salvado; Salamata Konate; Rodrigo Santa Cruz; Andrew P. Bradley; Judy Wawira Gichoya; Laleh Seyyed-Kalantari; Brandon J. Price; Clinton Fookes; Léo Lebrat (ISBI, 2024)

SafeSea: Synthetic Data Generation for Adverse & Low Probability Maritime Conditions. - Martin Tran; Jordan Shipard; Hermawan Mulyono; Arnold Wiliem; Clinton Fookes (WACV (Workshops), 2024)

Spectral-Enhanced Transformers: Leveraging Large-Scale Pretrained Models for Hyperspectral Object Tracking. - Shaheer Mohamed; Tharindu Fernando; Sridha Sridharan; Peyman Moghadam; Clinton Fookes (WHISPERS, 2024)

Zoom-shot: Fast and Efficient Unsupervised Zero-Shot Transfer of CLIP to Vision Encoders with Multimodal Loss. - Jordan Shipard; Arnold Wiliem; Kien Nguyen Thanh; Wei Xiang 001; Clinton Fookes (CoRR, 2024)

Divide and Conquer: Rethinking the Training Paradigm of Neural Radiance Fields. - Rongkai Ma; Léo Lebrat; Rodrigo Santa Cruz; Gil Avraham; Yan Zuo; Clinton Fookes; Olivier Salvado (CoRR, 2024)

Part-based Quantitative Analysis for Heatmaps. - Osman Tursun; Sinan Kalkan; Simon Denman; Sridha Sridharan; Clinton Fookes (CoRR, 2024)

Enhancing Semantic Segmentation with Adaptive Focal Loss: A Novel Approach. - Md Rakibul Islam; Riad Hassan; Abdullah Nazib; Kien Nguyen Thanh; Clinton Fookes; Md Zahidul Islam (CoRR, 2024)

PINNs for Medical Image Analysis: A Survey. - Chayan Banerjee; Kien Nguyen Thanh; Olivier Salvado; Truyen Tran 001; Clinton Fookes (CoRR, 2024)

AI and Entrepreneurship: Facial Recognition Technology Detects Entrepreneurs, Outperforming Human Experts. - Martin Obschonka; Christian Fisch; Tharindu Fernando; Clinton Fookes (CoRR, 2024)

PseudoNeg-MAE: Self-Supervised Point Cloud Learning using Conditional Pseudo-Negative Embeddings. - Sutharsan Mahendren; Saimunur Rahman; Piotr Koniusz; Tharindu Fernando; Sridha Sridharan; Clinton Fookes; Peyman Moghadam (CoRR, 2024)

Online 6DoF Pose Estimation in Forests using Cross-View Factor Graph Optimisation and Deep Learned Re-localisation. - Lucas Carvalho de Lima; Ethan Griffiths; Maryam Haghighat; Simon Denman; Clinton Fookes; Paulo V. K. Borges; Michael Brünig; Milad Ramezani (CoRR, 2024)

Physics Augmented Tuple Transformer for Autism Severity Level Detection. - Chinthaka Ranasingha; Harshala Gammulle; Tharindu Fernando; Sridha Sridharan; Clinton Fookes (CoRR, 2024)

Damage Assessment after Natural Disasters with UAVs: Semantic Feature Extraction using Deep Learning. - Nethmi S. Hewawiththi; M. Mahesha Viduranga; Vanodhya G. Warnasooriya; Tharindu Fernando; Himal A. Suraweera; Sridha Sridharan; Clinton Fookes (CoRR, 2024)

Deep cross-domain transfer for emotion recognition via joint learning. - Dung Nguyen 001; Duc Thanh Nguyen; Sridha Sridharan; Mohamed Abdelrazek 001; Simon Denman; Son N. Tran; Rui Zeng; Clinton Fookes (Multim. Tools Appl., 2024)

Multimodal Colearning Meets Remote Sensing: Taxonomy, State of the Art, and Future Works. - Nhi Kieu; Kien Nguyen Thanh; Abdullah Nazib; Tharindu Fernando; Clinton Fookes; Sridha Sridharan (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

FactoFormer: Factorized Hyperspectral Transformers With Self-Supervised Pretraining. - Shaheer Mohamed; Maryam Haghighat; Tharindu Fernando; Sridha Sridharan; Clinton Fookes; Peyman Moghadam (IEEE Trans. Geosci. Remote. Sens., 2024)

AG-ReID.v2: Bridging Aerial and Ground Views for Person Re-Identification. - Huy Nguyen; Kien Nguyen Thanh; Sridha Sridharan; Clinton Fookes (IEEE Trans. Inf. Forensics Secur., 2024)

GeoAdapt: Self-Supervised Test-Time Adaptation in LiDAR Place Recognition Using Geometric Priors. - Joshua Knights; Stephen Hausler; Sridha Sridharan; Clinton Fookes; Peyman Moghadam (IEEE Robotics Autom. Lett., 2024)

Synthetic Data for Deep Learning in Computer Vision & Medical Imaging: A Means to Reduce Data Bias. - Anthony Paproki; Olivier Salvado; Clinton Fookes (ACM Comput. Surv., 2024)

Physical Adversarial Attacks for Surveillance: A Survey. - Kien Nguyen 001; Tharindu Fernando; Clinton Fookes; Sridha Sridharan (IEEE Trans. Neural Networks Learn. Syst., 2024)

Event2Tracking: Reconstructing Multi-Agent Soccer Trajectories Using Long-Term Multimodal Context. - Harry Hughes; Michael Horton 005; Xinyu Wei; Harshala Gammulle; Clinton Fookes; Sridha Sridharan; Patrick Lucey (AAAI, 2025)

HOTFormerLoc: Hierarchical Octree Transformer for Versatile Lidar Place Recognition Across Ground and Aerial Views. - Ethan Griffiths; Maryam Haghighat; Simon Denman; Clinton Fookes; Milad Ramezani (CVPR, 2025)

AG-VPReID: A Challenging Large-Scale Benchmark for Aerial-Ground Video-based Person Re-Identification. - Huy Nguyen; Kien Nguyen 001; Akila Pemasiri; Feng Liu 037; Sridha Sridharan; Clinton Fookes (CVPR, 2025)

RadDet: A Wideband Dataset for Real-Time Radar Spectrum Detection. - Zi Huang; Simon Denman; Akila Pemasiri; Terrence Martin; Clinton Fookes (ICASSP, 2025)

SALVE: A 3D Reconstruction Benchmark of Wounds from Consumer-Grade Videos. - Remi Chierchia; Léo Lebrat; David Ahmedt-Aristizabal; Olivier Salvado; Clinton Fookes; Rodrigo Santa Cruz (WACV, 2025)

A survey on physics informed reinforcement learning: Review and open problems. - Chayan Banerjee; Kien Nguyen Thanh; Clinton Fookes; Maziar Raissi (Expert Syst. Appl., 2025)

WildScenes: A benchmark for 2D and 3D semantic segmentation in large-scale natural environments. - Kavisha Vidanapathirana; Joshua Knights; Stephen Hausler; Mark Cox; Milad Ramezani; Jason Jooste; Ethan Griffiths; Shaheer Mohamed; Sridha Sridharan; Clinton Fookes; Peyman Moghadam (Int. J. Robotics Res., 2025)

ATD Learning: A secure, smart, and decentralised learning method for big data environments. - Laith Alzubaidi; Sabah Abdulazeez Jebur; Tanya Abdulsattar Jaber; Mohanad A. Mohammed; Haider A. Alwzwazy; Ahmed Saihood; Harshala Gammulle; José Santamaría; Ye Duan; Clinton Fookes; Raja Jurdak; Yuantong Gu (Inf. Fusion, 2025)

FICE: Text-conditioned fashion-image editing with guided GAN inversion. - Martin Pernus; Clinton Fookes; Vitomir Struc; Simon Dobrisek (Pattern Recognit., 2025)

Radar Signal Recognition through Self-Supervised Learning and Domain Adaptation. - Zi Huang; Simon Denman; Akila Pemasiri; Clinton Fookes; Terrence Martin (CoRR, 2025)

Neural Radiance Fields for the Real World: A Survey. - Wenhui Xiao; Remi Chierchia; Rodrigo Santa Cruz; Xuesong Li 001; David Ahmedt-Aristizabal; Olivier Salvado; Clinton Fookes; Léo Lebrat (CoRR, 2025)

An Adversarial Approach to Register Extreme Resolution Tissue Cleared 3D Brain Images. - Abdullah Nazib; Clinton Fookes; Dimitri Perrin (CoRR, 2025)

Physics-Informed Computer Vision: A Review and Perspectives. - Chayan Banerjee; Kien Nguyen 001; Clinton Fookes; George E. Karniadakis (ACM Comput. Surv., 2025)

Empathy in Long-Term Human-Robot Interaction: A Scoping Review of Emotion Understanding. - Marie S. Newman; Bouchra Senadji; Katherine M. White; Clinton Fookes (Int. J. Soc. Robotics, 2025)

PDV: Prompt Directional Vectors for Zero-shot Composed Image Retrieval. - Osman Tursun; Sinan Kalkan; Simon Denman; Clinton Fookes (CoRR, 2025)

Face Deepfakes - A Comprehensive Review. - Tharindu Fernando; Darshana Priyasad; Sridha Sridharan; Arun Ross; Clinton Fookes (CoRR, 2025)

Mining-Gym: A Configurable RL Benchmarking Environment for Truck Dispatch Scheduling. - Chayan Banerjee; Kien Nguyen 001; Clinton Fookes (CoRR, 2025)

Remembering What is Important: A Factorised Multi-Head Retrieval and Auxiliary Memory Stabilisation Scheme for Human Motion Prediction. - Tharindu Fernando; Harshala Gammulle; Sridha Sridharan; Simon Denman; Clinton Fookes (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Dual-Domain Masked Image Modeling: A Self-Supervised Pretraining Strategy Using Spatial and Frequency Domain Masking for Hyperspectral Data. - Shaheer Mohamed; Tharindu Fernando; Sridha Sridharan; Peyman Moghadam; Clinton Fookes (CoRR, 2025)

Cross-Branch Orthogonality for Improved Generalization in Face Deepfake Detection. - Tharindu Fernando; Clinton Fookes; Sridha Sridharan; Simon Denman (CoRR, 2025)

AG-VPReID 2025: Aerial-Ground Video-based Person Re-identification Challenge Results. - Kien Nguyen 001; Clinton Fookes; Sridha Sridharan; Huy Nguyen; Feng Liu 037; Xiaoming Liu 002; Arun Ross; Dana Michalski; Tamás Endrei; Ivan DeAndres-Tame; Ruben Tolosana; Rubén Vera-Rodríguez; et al. (CoRR, 2025)

Improving the Generation of VAEs with High Dimensional Latent Spaces by the use of Hyperspherical Coordinates. - Alejandro Ascarate; Léo Lebrat; Rodrigo Santa Cruz; Clinton Fookes; Olivier Salvado (CoRR, 2025)

AG-VPReID.VIR: Bridging Aerial and Ground Platforms for Video-based Visible-Infrared Person Re-ID. - Huy Nguyen; Kien Nguyen 001; Akila Pemasiri; Akmal Jahan; Clinton Fookes; Sridha Sridharan (CoRR, 2025)

Decoupled and Explainable Associative Memory for Effective Knowledge Propagation. - Tharindu Fernando; Darshana Priyasad; Sridha Sridharan; Clinton Fookes (IEEE Trans. Neural Networks Learn. Syst., 2025)