Adaptive Optical Flow for Person Tracking. - Simon Denman; Vinod Chandran; Sridha Sridharan (DICTA, 2005)

Tracking people in 3D using position, size and shape. - Simon Denman; Vinod Chandran; Sridha Sridharan (ISSPA, 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)

Robust Real Time Multi-Layer Foreground Segmentation. - Simon Denman; Vinod Chandran; Sridha Sridharan (MVA, 2007)

Automatic Tracking, Super-Resolution and Recognition of Human Faces from Surveillance Video. - Frank Lin; Simon Denman; Vinod Chandran; Sridha Sridharan (MVA, 2007)

An adaptive optical flow technique for person tracking systems. - Simon Denman; Vinod Chandran; Sridha Sridharan (Pattern Recognit. Lett., 2007)

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

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

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)

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)

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)

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)

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)

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

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

Why multi-layered security is still the best defence. - Simon Denman (Netw. Secur., 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)

Recognising Team Activities from Noisy Data. - Alina Bialkowski; Patrick Lucey; Peter Carr 001; Simon Denman; Iain A. Matthews; Sridha Sridharan (CVPR Workshops, 2013)

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)

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

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)

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)

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

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

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

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

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

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)

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)

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)

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)

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)

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

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

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

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)

Object Graph Networks for Spatial Language Grounding. - Philip Hawkins; Frédéric Maire; Simon Denman; Mahsa Baktashmotlagh (DICTA, 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)

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)

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

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)

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)

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

Sparse Convolutions on Continuous Domains for Point Cloud and Event Stream Networks. - Dominic Jack; Frédéric Maire; Simon Denman; Anders P. Eriksson (ACCV (1), 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)

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)

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)

Improved reinforcement learning with curriculum. - Joseph West; Frédéric Maire; Cameron Browne; Simon Denman (Expert Syst. Appl., 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)

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

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)

Datasets: New technologies in the mix: Assessing N-mixture models for abundance estimation using automated detection data from drone surveys. - Evangeline Corcoran; Simon Denman; Grant Hamilton (Zenodo, 2020)

Video-Based Inpatient Fall Risk Assessment: A Case Study. - Ziqing Wang; Mohammad Ali Armin; Simon Denman; Lars Petersson; David Ahmedt-Aristizabal (EMBC, 2021)

Towards Interpretable Attention Networks for Cervical Cancer Analysis. - Ruiqi Wang; Mohammad Ali Armin; Simon Denman; Lars Petersson; David Ahmedt-Aristizabal (EMBC, 2021)

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

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

Modular Construction Planning Using Graph Neural Network Heuristic Search. - Philip Hawkins; Frédéric Maire; Simon Denman; Mahsa Baktashmotlagh (AI, 2022)

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

In-Bed Human Pose Estimation from Unseen and Privacy-Preserving Image Domains. - Ting Cao; Mohammad Ali Armin; Simon Denman; Lars Petersson; David Ahmedt-Aristizabal (ISBI, 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)

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

Vision-Based Activity Recognition in Children with Autism-Related Behaviors. - Pengbo Wei; David Ahmedt-Aristizabal; Harshala Gammulle; Simon Denman; Mohammad Ali Armin (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)

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)

Automated Detection of Koalas with Deep Learning Ensembles. - Megan Winsen; Simon Denman; Evangeline Corcoran; Grant Hamilton (Remote. Sens., 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)

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)

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

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

Automated Coronary Arteries Labeling Via Geometric Deep Learning. - Yadan Li; Mohammad Ali Armin; Simon Denman; David Ahmedt-Aristizabal (ISBI, 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)

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)

Privacy-Preserving in-bed pose monitoring: A fusion and reconstruction study. - Thisun Dayarathna; Thamidu Muthukumarana; Yasiru Rathnayaka; Simon Denman; Chathura de Silva; Akila Pemasiri; David Ahmedt-Aristizabal (Expert Syst. Appl., 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)

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)

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)

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)

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

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)

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)

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

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

PDV: Prompt Directional Vectors for Zero-shot Composed Image Retrieval. - Osman Tursun; Sinan Kalkan; Simon Denman; 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)

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