Simon Denman

According to our database, Simon Denman authored at least 191 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Deep cross-domain transfer for emotion recognition via joint learning.

Dung Nguyen, Duc Thanh Nguyen, Sridha Sridharan, Mohamed Abdelrazek, Simon Denman, Son N. Tran, Rui Zeng, Clinton Fookes

Multim. Tools Appl., 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

Part-based Quantitative Analysis for Heatmaps.

Osman Tursun, Sinan Kalkan, Simon Denman, Sridha Sridharan, Clinton Fookes

CoRR, 2024

Multi-Stage Learning for Radar Pulse Activity Segmentation.

Zi Huang, Akila Pemasiri, Simon Denman, Clinton Fookes, Terrence Martin

Proceedings of the IEEE International Conference on Acoustics, 2024

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., July, 2023

Pose-driven attention-guided image generation for person re-Identification.

Amena Khatun, Simon Denman, Sridha Sridharan, Clinton Fookes

Pattern Recognit., May, 2023

Meta-transfer learning for emotion recognition.

Dung Nguyen, Duc Thanh Nguyen, Sridha Sridharan, Simon Denman, Thanh Nguyen, David Dean, Clinton Fookes

Neural Comput. Appl., May, 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, February, 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

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

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

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

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

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

Automated Coronary Arteries Labeling Via Geometric Deep Learning.

Yadan Li, Mohammad Ali Armin, Simon Denman, David Ahmedt-Aristizabal

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Dual Memory Fusion for Multimodal Speech Emotion Recognition.

Darshana Prisayad, Tharindu Fernando, Sridha Sridharan, Simon Denman, Clinton Fookes

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Multi-Task Learning For Radar Signal Characterisation.

Zi Huang, Akila Pemasiri, Simon Denman, Clinton Fookes, Terrence Martin

Proceedings of the IEEE International Conference on Acoustics, 2023

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

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

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

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

Automated Detection of Koalas with Deep Learning Ensembles.

Megan Winsen, Simon Denman, Evangeline Corcoran, Grant Hamilton

Remote. Sens., 2022

An efficient framework for zero-shot sketch-based image retrieval.

Osman Tursun, Simon Denman, Sridha Sridharan, Ethan Goan, Clinton Fookes

Pattern Recognit., 2022

Split 'n' merge net: A dynamic masking network for multi-task attention.

Tharindu Fernando, Sridha Sridharan, Simon Denman, Clinton Fookes

Pattern Recognit., 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

Learning test-time augmentation for content-based image retrieval.

Osman Tursun, Simon Denman, Sridha Sridharan, Clinton Fookes

Comput. Vis. Image Underst., 2022

Deep Learning for Medical Anomaly Detection - A Survey.

Tharindu Fernando, Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes

ACM Comput. Surv., 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

Towards On-Board Panoptic Segmentation of Multispectral Satellite Images.

Tharindu Fernando, Clinton Fookes, Harshala Gammulle, Simon Denman, Sridha Sridharan

CoRR, 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

In-Bed Human Pose Estimation from Unseen and Privacy-Preserving Image Domains.

Ting Cao, Mohammad Ali Armin, Simon Denman, Lars Petersson, David Ahmedt-Aristizabal

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 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

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

SESS: Saliency Enhancing with Scaling and Sliding.

Osman Tursun, Simon Denman, Sridha Sridharan, Clinton Fookes

Proceedings of the Computer Vision - ECCV 2022, 2022

Modular Construction Planning Using Graph Neural Network Heuristic Search.

Philip Hawkins, Frédéric Maire, Simon Denman, Mahsa Baktashmotlagh

Proceedings of the AI 2021: Advances in Artificial Intelligence, 2022

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

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

TMMF: Temporal Multi-Modal Fusion for Single-Stage Continuous Gesture Recognition.

Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes

IEEE Trans. Image Process., 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

Detection of Fake and Fraudulent Faces via Neural Memory Networks.

Tharindu Fernando, Clinton Fookes, Simon Denman, Sridha Sridharan

IEEE Trans. Inf. Forensics Secur., 2021

Domain Generalization in Biosignal Classification.

Theekshana Dissanayake, Tharindu Fernando, Simon Denman, Houman Ghaemmaghami, Sridha Sridharan, Clinton Fookes

IEEE Trans. Biomed. Eng., 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

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

Memory based fusion for multi-modal deep learning.

Darshana Priyasad, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes

Inf. Fusion, 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

IGSSTRCF: Importance Guided Sparse Spatio-Temporal Regularized Correlation Filters For Tracking.

Monika Jain, A. Venkata Subramanyam, Simon Denman, Sridha Sridharan, Clinton Fookes

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Learning Regional Attention Over Multi-Resolution Deep Convolutional Features For Trademark Retrieval.

Osman Tursun, Simon Denman, Sridha Sridharan, Clinton Fookes

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Towards Interpretable Attention Networks for Cervical Cancer Analysis.

Ruiqi Wang, Mohammad Ali Armin, Simon Denman, Lars Petersson, David Ahmedt-Aristizabal

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Video-Based Inpatient Fall Risk Assessment: A Case Study.

Ziqing Wang, Mohammad Ali Armin, Simon Denman, Lars Petersson, David Ahmedt-Aristizabal

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

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

Dataset, June, 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

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

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

Hierarchical Attention Network for Action Segmentation.

Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes

Pattern Recognit. Lett., 2020

Fine-grained action segmentation using the semi-supervised action GAN.

Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes

Pattern Recognit., 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

Improved reinforcement learning with curriculum.

Joseph West, Frédéric Maire, Cameron Browne, Simon Denman

Expert Syst. Appl., 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

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

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

Patient-independent Epileptic Seizure Prediction using Deep Learning Models.

Theekshana Dissanayake, Tharindu Fernando, 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

Multi-modal Fusion for Single-Stage Continuous Gesture Recognition.

Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes

CoRR, 2020

Memory Based Attentive Fusion.

Darshana Priyasad, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes

CoRR, 2020

Meta Transfer Learning for Emotion Recognition.

Dung Nguyen, Sridha Sridharan, Duc Thanh Nguyen, Simon Denman, David Dean, 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

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

Joint Deep Cross-Domain Transfer Learning for Emotion Recognition.

Dung Nguyen, Sridha Sridharan, Duc Thanh Nguyen, Simon Denman, Son N. Tran, Rui Zeng, Clinton Fookes

CoRR, 2020

Enhancing Feature Invariance with Learned Image Transformations for Image Retrieval.

Osman Tursun, Simon Denman, Sridha Sridharan, Clinton Fookes

CoRR, 2020

Semantic Consistency and Identity Mapping Multi-Component Generative Adversarial Network for Person Re-Identification.

Amena Khatun, Simon Denman, Sridha Sridharan, Clinton Fookes

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Two-Stream Deep Feature Modelling for Automated Video Endoscopy Data Analysis.

Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Attention Driven Fusion for Multi-Modal Emotion Recognition.

Darshana Priyasad, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Neural Memory Networks for Seizure Type Classification.

David Ahmedt-Aristizabal, Tharindu Fernando, Simon Denman, Lars Petersson, Matthew J. Aburn, Clinton Fookes

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Attention Networks for Multi-Task Signal Analysis.

David Ahmedt-Aristizabal, Mohammad Ali Armin, Simon Denman, Clinton Fookes, Lars Petersson

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Fruit Detection in the Wild: The Impact of Varying Conditions and Cultivar.

Michael Halstead, Simon Denman, Clinton Fookes, Chris McCool

Proceedings of the Digital Image Computing: Techniques and Applications, 2020

Sparse Convolutions on Continuous Domains for Point Cloud and Event Stream Networks.

Dominic Jack, Frédéric Maire, Simon Denman, Anders P. Eriksson

Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

Geometry-Constrained Car Recognition Using a 3D Perspective Network.

Rui Zeng, Zongyuan Ge, Simon Denman, Sridha Sridharan, Clinton Fookes

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Understanding Patients' Behavior: Vision-Based Analysis of Seizure Disorders.

David Ahmedt-Aristizabal, Simon Denman, Kien Nguyen, Sridha Sridharan, Sasha Dionisio, Clinton Fookes

IEEE J. Biomed. Health Informatics, 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

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

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

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 Plasticity for Anomaly Detection.

Tharindu Fernando, Simon Denman, David Ahmedt-Aristizabal, Sridha Sridharan, Kristin R. Laurens, Patrick J. Johnston, Clinton Fookes

CoRR, 2019

Coupled Generative Adversarial Network for Continuous Fine-Grained Action Segmentation.

Harshala Gammulle, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

MTRNet: A Generic Scene Text Eraser.

Osman Tursun, Rui Zeng, Simon Denman, Sabesan Sivapalan, Sridha Sridharan, Clinton Fookes

Proceedings of the 2019 International Conference on Document Analysis and Recognition, 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

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Predicting the Future: A Jointly Learnt Model for Action Anticipation.

Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Motion Signatures for the Analysis of Seizure Evolution in Epilepsy.

David Ahmedt-Aristizabal, M. Saquib Sarfraz, Simon Denman, Kien Nguyen, Clinton Fookes, Sasha Dionisio, Rainer Stiefelhagen

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Vision-Based Mouth Motion Analysis in Epilepsy: A 3D Perspective.

David Ahmedt-Aristizabal, Kien Nguyen, Simon Denman, M. Saquib Sarfraz, Sridha Sridharan, Sasha Dionisio, Clinton Fookes

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Object Graph Networks for Spatial Language Grounding.

Philip Hawkins, Frédéric Maire, Simon Denman, Mahsa Baktashmotlagh

Proceedings of the 2019 Digital Image Computing: Techniques and Applications, 2019

Forecasting Future Action Sequences with Neural Memory Networks.

Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes

Proceedings of the 30th British Machine Vision Conference 2019, 2019

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

Proceedings of the 15th International Conference on Auditory-Visual Speech Processing, 2019

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

<i>Soft</i> + <i>Hardwired</i> attention: An LSTM framework for human trajectory prediction and abnormal event detection.

Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes

Neural Networks, 2018

Tree Memory Networks for modelling long-term temporal dependencies.

Tharindu Fernando, Simon Denman, Aaron McFadyen, Sridha Sridharan, Clinton Fookes

Neurocomputing, 2018

Fruit Quantity and Quality Estimation using a Robotic Vision System.

Michael Halstead, Chris McCool, Simon Denman, Tristan Perez, Clinton Fookes

CoRR, 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

Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Task Specific Visual Saliency Prediction with Memory Augmented Conditional Generative Adversarial Networks.

Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes

Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Tracking by Prediction: A Deep Generative Model for Mutli-person Localisation and Tracking.

Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes

Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Pedestrian Trajectory Prediction with Structured Memory Hierarchies.

Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Calibrating Cameras in Poor-Conditioned Pitch-Based Sports Games.

Rui Zeng, Ruan Lakemond, Simon Denman, Sridha Sridharan, Clinton Fookes, Stuart Morgan

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Deep Motion Analysis for Epileptic Seizure Classification.

David Ahmedt-Aristizabal, Kien Nguyen, Simon Denman, Sridha Sridharan, Sasha Dionisio, Clinton Fookes

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Skeleton Driven Non-Rigid Motion Tracking and 3D Reconstruction.

Shafeeq Elanattil, Peyman Moghadam, Simon Denman, Sridha Sridharan, Clinton Fookes

Proceedings of the 2018 Digital Image Computing: Techniques and Applications, 2018

Deep Decision Trees for Discriminative Dictionary Learning With Adversarial Multi-Agent Trajectories.

Tharindu Fernando, Sridha Sridharan, Clinton Fookes, Simon Denman

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

Semantic Person Retrieval in Surveillance Using Soft Biometrics: AVSS 2018 Challenge II.

Michael Halstead, Simon Denman, Clinton Fookes, Yingli Tian, Mark S. Nixon

Proceedings of the 15th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2018

Learning Temporal Strategic Relationships using Generative Adversarial Imitation Learning.

Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

Rethinking Planar Homography Estimation Using Perspective Fields.

Rui Zeng, Simon Denman, Sridha Sridharan, Clinton Fookes

Proceedings of the Computer Vision - ACCV 2018, 2018

Multi-level Sequence GAN for Group Activity Recognition.

Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes

Proceedings of the Computer Vision - ACCV 2018, 2018

GD-GAN: Generative Adversarial Networks for Trajectory Prediction and Group Detection in Crowds.

Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes

Proceedings of the Computer Vision - ACCV 2018, 2018

2017

Locating People in Surveillance Video Using Soft Biometric Traits.

Simon Denman, Michael Halstead, Clinton Fookes, Sridha Sridharan

Proceedings of the Handbook of Biometrics for Forensic Science, 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

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

Two Stream LSTM: A Deep Fusion Framework for Human Action Recognition.

Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes

Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision, 2017

From Affine Rank Minimization Solution to Sparse Modeling.

Iman Abbasnejad, Sridha Sridharan, Simon Denman, Clinton Fookes, Simon Lucey

Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision, 2017

Single image depth prediction using super-column super-pixel features.

Xufeng Guo, Kien Nguyen, Simon Denman, Clinton Fookes, Sridha Sridharan

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Deep discovery of facial motions using a shallow embedding layer.

Afsaneh Ghasemi, Mahsa Baktashmotlagh, Simon Denman, Sridha Sridharan, Dung Nguyen Tien, Clinton Fookes

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Going Deeper: Autonomous Steering with Neural Memory Networks.

Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 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

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2016

Detecting rare events using Kullback-Leibler divergence: A weakly supervised approach.

Jingxin Xu, Simon Denman, Clinton Fookes, Sridha Sridharan

Expert Syst. Appl., 2016

Discovery of facial motions using deep machine perception.

Afsaneh Ghasemi, Simon Denman, Sridha Sridharan, Clinton Fookes

Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

A robust UAV landing site detection system using mid-level discriminative patches.

Xufeng Guo, Simon Denman, Clinton Fookes, Sridha Sridharan

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Vertical Axis Detection for Sport Video Analytics.

Rui Zeng, Ruan Lakemond, Simon Denman, Sridha Sridharan, Clinton Fookes, Stuart Morgan

Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications, 2016

Complex Event Detection Using Joint Max Margin and Semantic Features.

Iman Abbasnejad, Sridha Sridharan, Simon Denman, Clinton Fookes, Simon Lucey

Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications, 2016

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

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

Searching for people using semantic soft biometric descriptions.

Simon Denman, Michael Halstead, Clinton Fookes, Sridha Sridharan

Pattern Recognit. Lett., 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

An evaluation of crowd counting methods, features and regression models.

David Ryan, Simon Denman, Sridha Sridharan, Clinton Fookes

Comput. Vis. Image Underst., 2015

Class-specific sparse codes for representing activities.

Sabanadesan Umakanthan, Simon Denman, Clinton Fookes, Sridha Sridharan

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Detecting rare events using Kullback-Leibler divergence.

Jingxin Xu, Simon Denman, Clinton Fookes, Sridha Sridharan

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Searching for semantic person queries using channel representations.

Simon Denman, Michael Halstead, Clinton Fookes, Sridha Sridharan

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Closed-Form Solutions for Low-Rank Non-Rigid Reconstruction.

Jack Valmadre, Sridha Sridharan, Simon Denman, Clinton Fookes, Simon Lucey

Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications, 2015

Robust Automatic Face Clustering in News Video.

Kaneswaran Anantharajah, Simon Denman, Dian Tjondronegoro, Sridha Sridharan, Clinton Fookes

Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications, 2015

Learning Temporal Alignment Uncertainty for Efficient Event Detection.

Iman Abbasnejad, Sridha Sridharan, Simon Denman, Clinton Fookes, Simon Lucey

Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications, 2015

Large scale monitoring of crowds and building utilisation: A new database and distributed approach.

Simon Denman, Clinton Fookes, David Ryan, Sridha Sridharan

Proceedings of the 12th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2015

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

Scene invariant multi camera crowd counting.

David Ryan, Simon Denman, Clinton Fookes, Sridha Sridharan

Pattern Recognit. Lett., 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

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2014

Activity recognition using binary tree SVM.

Sabanadesan Umakanthan, Simon Denman, Clinton Fookes, Sridha Sridharan

Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014

SAIVT-ADMRG @ MediaEval 2014 Social Event Detection.

Simon Denman, David Dean, Clinton Fookes, Sridha Sridharan

Proceedings of the Working Notes Proceedings of the MediaEval 2014 Workshop, 2014

Multiple Instance Dictionary Learning for Activity Representation.

Sabanadesan Umakanthan, Simon Denman, Clinton Fookes, Sridha Sridharan

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Locating People in Video from Semantic Descriptions: A New Database and Approach.

Michael Halstead, Simon Denman, Sridha Sridharan, Clinton Fookes

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Supervised Latent Dirichlet Allocation Models for Efficient Activity Representation.

Sabanadesan Umakanthan, Simon Denman, Clinton Fookes, Sridha Sridharan

Proceedings of the 2014 International Conference on Digital Image Computing: Techniques and Applications, 2014

Automatic UAV Forced Landing Site Detection Using Machine Learning.

Xufeng Guo, Simon Denman, Clinton Fookes, Luis Mejías, Sridha Sridharan

Proceedings of the 2014 International Conference on Digital Image Computing: Techniques and Applications, 2014

An MRF based abnormal event detection approach using motion and appearance features.

Hajananth Nallaivarothayan, Clinton Fookes, Simon Denman, Sridha Sridharan

Proceedings of the 11th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2014

2013

Feature-domain super-resolution for iris recognition.

Kien Nguyen Thanh, Clinton Fookes, Sridha Sridharan, Simon Denman

Comput. Vis. Image Underst., 2013

Semi-Binary Based Video Features for Activity Representation.

Sabanadesan Umakanthan, Simon Denman, Clinton Fookes, Sridha Sridharan

Proceedings of the 2013 International Conference on Digital Image Computing: Techniques and Applications, 2013

An Evaluation of Different Features and Learning Models for Anomalous Event Detection.

Hajananth Nallaivarothayan, David Ryan, Simon Denman, Sridha Sridharan, Clinton Fookes

Proceedings of the 2013 International Conference on Digital Image Computing: Techniques and Applications, 2013

Quality Based Frame Selection for Face Clustering in News Video.

Kaneswaran Anantharajah, Simon Denman, Dian Tjondronegoro, Sridha Sridharan, Clinton Fookes, Xufeng Guo

Proceedings of the 2013 International Conference on Digital Image Computing: Techniques and Applications, 2013

Histogram of Weighted Local Directions for Gait Recognition.

Sabesan Sivapalan, Daniel Chen, Simon Denman, Sridha Sridharan, Clinton Fookes

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2013

Recognising Team Activities from Noisy Data.

Alina Bialkowski, Patrick Lucey, Peter Carr, Simon Denman, Iain A. Matthews, Sridha Sridharan

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

Scene Invariant Crowd Counting and Crowd Occupancy Analysis.

David Ryan, Simon Denman, Sridha Sridharan, Clinton Fookes

Proceedings of the Video Analytics for Business Intelligence, 2012

Identifying Customer Behaviour and Dwell Time Using Soft Biometrics.

Simon Denman, Alina Bialkowski, Clinton Fookes, Sridha Sridharan

Proceedings of the Video Analytics for Business Intelligence, 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

Why multi-layered security is still the best defence.

Simon Denman

Netw. Secur., 2012

SAIVT-QUT@TRECVid 2012: Interactive Surveillance Event Detection.

Jingxin Xu, Simon Denman, Sridha Sridharan, Clinton Fookes

Proceedings of the 2012 TREC Video Retrieval Evaluation, 2012

Quality based frame selection for video face recognition.

Kaneswaran Anantharajah, Simon Denman, Sridha Sridharan, Clinton Fookes, Dian Tjondronegoro

Proceedings of the 6th International Conference on Signal Processing and Communication Systems, 2012

Spatio Temporal Feature Evaluation for Action Recognition.

Sabanadesan Umakanthan, Simon Denman, Sridha Sridharan, Clinton Fookes, Tim Wark

Proceedings of the 2012 International Conference on Digital Image Computing Techniques and Applications, 2012

The Backfilled GEI - A Cross-Capture Modality Gait Feature for Frontal and Side-View Gait Recognition.

Sabesan Sivapalan, Daniel Chen, Simon Denman, Sridha Sridharan, Clinton Fookes

Proceedings of the 2012 International Conference on Digital Image Computing Techniques and Applications, 2012

Anomalous Event Detection Using a Semi-Two Dimensional Hidden Markov Model.

Hajananth Nallaivarothayan, David Ryan, Simon Denman, Sridha Sridharan, Clinton Fookes

Proceedings of the 2012 International Conference on Digital Image Computing Techniques and Applications, 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

Proceedings of the 2012 International Conference on Digital Image Computing Techniques and Applications, 2012

A Database for Person Re-Identification in Multi-Camera Surveillance Networks.

Alina Bialkowski, Simon Denman, Sridha Sridharan, Clinton Fookes, Patrick Lucey

Proceedings of the 2012 International Conference on Digital Image Computing Techniques and Applications, 2012

Feature-domain super-resolution framework for Gabor-based face and iris recognition.

Kien Nguyen Thanh, Sridha Sridharan, Simon Denman, Clinton Fookes

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Activity Analysis in Complicated Scenes Using DFT Coefficients of Particle Trajectories.

Jingxin Xu, Simon Denman, Sridha Sridharan, Clinton Fookes

Proceedings of the Ninth IEEE International Conference on Advanced Video and Signal-Based Surveillance, 2012

Unusual Scene Detection Using Distributed Behaviour Model and Sparse Representation.

Jingxin Xu, Simon Denman, Clinton Fookes, Sridha Sridharan

Proceedings of the Ninth IEEE International Conference on Advanced Video and Signal-Based Surveillance, 2012

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

Gait energy volumes and frontal gait recognition using depth images.

Sabesan Sivapalan, Daniel Chen, Simon Denman, Sridha Sridharan, Clinton Fookes

Proceedings of the 2011 IEEE International Joint Conference on Biometrics, 2011

Activity Modelling in Crowded Environments: A Soft-Decision Approach.

Jingxin Xu, Simon Denman, Sridha Sridharan, Clinton Fookes

Proceedings of the 2011 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2011

Unusual Event Detection in Crowded Scenes Using Bag of LBPs in Spatio-Temporal Patches.

Jingxin Xu, Simon Denman, Clinton Fookes, Sridha Sridharan

Proceedings of the 2011 International Conference on Digital Image Computing: Techniques and Applications (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

Proceedings of the 2011 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2011

Compressive Sensing for Gait Recognition.

Sabesan Sivapalan, Rajib Kumar Rana, Daniel Chen, Sridha Sridharan, Simon Denman, Clinton Fookes

Proceedings of the 2011 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2011

Scene Invariant Crowd Counting.

David Ryan, Simon Denman, Sridha Sridharan, Clinton Fookes

Proceedings of the 2011 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2011

Evaluating Automatic Road Detection across a Large Aerial Imagery Collection.

Xufeng Guo, David Dean, Simon Denman, Clinton Fookes, Sridha Sridharan

Proceedings of the 2011 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2011

3D ellipsoid fitting for multi-view gait recognition.

Sabesan Sivapalan, Daniel Chen, Simon Denman, Sridha Sridharan, Clinton Fookes

Proceedings of the 8th IEEE International Conference on Advanced Video and Signal-Based Surveillance, 2011

Textures of optical flow for real-time anomaly detection in crowds.

David Ryan, Simon Denman, Clinton Fookes, Sridha Sridharan

Proceedings of the 8th IEEE International Conference on Advanced Video and Signal-Based Surveillance, 2011

Determining operational measures from multi-camera surveillance systems using soft biometrics.

Simon Denman, Alina Bialkowski, Clinton Fookes, Sridha Sridharan

Proceedings of the 8th IEEE International Conference on Advanced Video and Signal-Based Surveillance, 2011

2010

Multi-spectral fusion for surveillance systems.

Simon Denman, Todd Lamb, Clinton Fookes, Vinod Chandran, Sridha Sridharan

Comput. Electr. Eng., 2010

Accurate silhouette segmentation using motion detection and graph cuts.

Daniel Chen, Simon Denman, Clinton Fookes

Proceedings of the 10th International Conference on Information Sciences, 2010

Accurate Silhouettes for Surveillance - Improved Motion Segmentation Using Graph Cuts.

Daniel Chen, Simon Denman, Clinton Fookes, Sridha Sridharan

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2010

Crowd Counting Using Group Tracking and Local Features.

David Ryan, Simon Denman, Clinton Fookes, Sridha Sridharan

Proceedings of the Seventh IEEE International Conference on Advanced Video and Signal Based Surveillance, 2010

Multi-Modal Object Tracking using Dynamic Performance Metrics.

Simon Denman, Clinton Fookes, Sridha Sridharan, David Ryan

Proceedings of the Seventh IEEE International Conference on Advanced Video and Signal Based Surveillance, 2010

2009

Crowd Counting Using Multiple Local Features.

David Ryan, Simon Denman, Clinton Fookes, Sridha Sridharan

Proceedings of the DICTA 2009, 2009

Improved Simultaneous Computation of Motion Detection and Optical Flow for Object Tracking.

Simon Denman, Clinton Fookes, Sridha Sridharan

Proceedings of the DICTA 2009, 2009

Soft-Biometrics: Unconstrained Authentication in a Surveillance Environment.

Simon Denman, Clinton Fookes, Alina Bialkowski, Sridha Sridharan

Proceedings of the DICTA 2009, 2009

Dynamic Performance Measures for Object Tracking Systems.

Simon Denman, Clinton Fookes, Sridha Sridharan, Ruan Lakemond

Proceedings of the Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance, 2009

2007

An adaptive optical flow technique for person tracking systems.

Simon Denman, Vinod Chandran, Sridha Sridharan

Pattern Recognit. Lett., 2007

Automatic Tracking, Super-Resolution and Recognition of Human Faces from Surveillance Video.

Frank Lin, Simon Denman, Vinod Chandran, Sridha Sridharan

Proceedings of the IAPR Conference on Machine Vision Applications (IAPR MVA 2007), 2007

Robust Real Time Multi-Layer Foreground Segmentation.

Simon Denman, Vinod Chandran, Sridha Sridharan

Proceedings of the IAPR Conference on Machine Vision Applications (IAPR MVA 2007), 2007

2006

Multi-view Intelligent Vehicle Surveillance System.

Simon Denman, Clinton Fookes, Jamie Cook, Chris Davoren, Anthony Mamic, Graeme Farquharson, Daniel Chen, Brenden Chen, Sridha Sridharan

Proceedings of the Advanced Video and Signal Based Surveillance, 2006

A Multi-Class Tracker Using a Scalable Condensation Filter.

Simon Denman, Vinod Chandran, Sridha Sridharan, Clinton Fookes

Proceedings of the Advanced Video and Signal Based Surveillance, 2006

2005

Tracking people in 3D using position, size and shape.

Simon Denman, Vinod Chandran, Sridha Sridharan

Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005

Adaptive Optical Flow for Person Tracking.

Simon Denman, Vinod Chandran, Sridha Sridharan

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2005