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2020 – today
- 2024
- [j58]Dung Nguyen, Duc Thanh Nguyen, Sridha Sridharan, Mohamed Abdelrazek, Simon Denman, Son N. Tran, Rui Zeng, Clinton Fookes:
Deep cross-domain transfer for emotion recognition via joint learning. Multim. Tools Appl. 83(8): 22455-22472 (2024) - [c107]Zi Huang, Akila Pemasiri, Simon Denman, Clinton Fookes, Terrence Martin:
Multi-Stage Learning for Radar Pulse Activity Segmentation. ICASSP 2024: 7340-7344 - [i68]Osman Tursun, Sinan Kalkan, Simon Denman, Sridha Sridharan, Clinton Fookes:
Part-based Quantitative Analysis for Heatmaps. CoRR abs/2405.13264 (2024) - 2023
- [j57]Harshala Gammulle, David Ahmedt-Aristizabal, Simon Denman, Lachlan Tychsen-Smith, Lars Petersson, Clinton Fookes:
Continuous Human Action Recognition for Human-machine Interaction: A Review. ACM Comput. Surv. 55(13s): 272:1-272:38 (2023) - [j56]Thisun Dayarathna, Thamidu Muthukumarana, Yasiru Rathnayaka, Simon Denman, Chathura de Silva, Akila Pemasiri, David Ahmedt-Aristizabal:
Privacy-Preserving in-bed pose monitoring: A fusion and reconstruction study. Expert Syst. Appl. 213(Part): 119139 (2023) - [j55]Dung Nguyen, Duc Thanh Nguyen, Sridha Sridharan, Simon Denman, Thanh Nguyen, David Dean, Clinton Fookes:
Meta-transfer learning for emotion recognition. Neural Comput. Appl. 35(14): 10535-10549 (2023) - [j54]Amena Khatun, Simon Denman, Sridha Sridharan, Clinton Fookes:
Pose-driven attention-guided image generation for person re-Identification. Pattern Recognit. 137: 109246 (2023) - [j53]Theekshana Dissanayake, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Multi-stage stacked temporal convolution neural networks (MS-S-TCNs) for biosignal segmentation and anomaly localization. Pattern Recognit. 139: 109440 (2023) - [j52]Tharindu Fernando, Clinton Fookes, Harshala Gammulle, Simon Denman, Sridha Sridharan:
Toward On-Board Panoptic Segmentation of Multispectral Satellite Images. IEEE Trans. Geosci. Remote. Sens. 61: 1-12 (2023) - [j51]Theekshana Dissanayake, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Generalized Generative Deep Learning Models for Biosignal Synthesis and Modality Transfer. IEEE J. Biomed. Health Informatics 27(2): 968-979 (2023) - [c106]Zi Huang, Akila Pemasiri, Simon Denman, Clinton Fookes, Terrence Martin:
Multi-Task Learning For Radar Signal Characterisation. ICASSP Workshops 2023: 1-5 - [c105]Darshana Prisayad, Tharindu Fernando, Sridha Sridharan, Simon Denman, Clinton Fookes:
Dual Memory Fusion for Multimodal Speech Emotion Recognition. INTERSPEECH 2023: 4543-4547 - [c104]Yadan Li, Mohammad Ali Armin, Simon Denman, David Ahmedt-Aristizabal:
Automated Coronary Arteries Labeling Via Geometric Deep Learning. ISBI 2023: 1-5 - [i67]Osman Tursun, Simon Denman, Sridha Sridharan, Clinton Fookes:
Towards Self-Explainability of Deep Neural Networks with Heatmap Captioning and Large-Language Models. CoRR abs/2304.02202 (2023) - [i66]Tharindu Fernando, Harshala Gammulle, Sridha Sridharan, Simon Denman, Clinton Fookes:
Remembering What Is Important: A Factorised Multi-Head Retrieval and Auxiliary Memory Stabilisation Scheme for Human Motion Prediction. CoRR abs/2305.11394 (2023) - [i65]Zi Huang, Akila Pemasiri, Simon Denman, Clinton Fookes, Terrence Martin:
Multi-task Learning for Radar Signal Characterisation. CoRR abs/2306.13105 (2023) - [i64]Zi Huang, Akila Pemasiri, Simon Denman, Clinton Fookes, Terrence Martin:
Multi-stage Learning for Radar Pulse Activity Segmentation. CoRR abs/2312.09489 (2023) - [i63]David Ahmedt-Aristizabal, Mohammad Ali Armin, Zeeshan Hayder, Norberto Garcia-Cairasco, Lars Petersson, Clinton Fookes, Simon Denman, Aileen McGonigal:
Deep Learning Approaches for Seizure Video Analysis: A Review. CoRR abs/2312.10930 (2023) - 2022
- [j50]David Ahmedt-Aristizabal, Mohammad Ali Armin, Simon Denman, Clinton Fookes, Lars Petersson:
A survey on graph-based deep learning for computational histopathology. Comput. Medical Imaging Graph. 95: 102027 (2022) - [j49]Tharindu Fernando, Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes:
Deep Learning for Medical Anomaly Detection - A Survey. ACM Comput. Surv. 54(7): 141:1-141:37 (2022) - [j48]Osman Tursun, Simon Denman, Sridha Sridharan, Clinton Fookes:
Learning test-time augmentation for content-based image retrieval. Comput. Vis. Image Underst. 222: 103494 (2022) - [j47]Darshana Priyasad, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Affect recognition from scalp-EEG using channel-wise encoder networks coupled with geometric deep learning and multi-channel feature fusion. Knowl. Based Syst. 250: 109038 (2022) - [j46]Osman Tursun, Simon Denman, Sridha Sridharan, Ethan Goan, Clinton Fookes:
An efficient framework for zero-shot sketch-based image retrieval. Pattern Recognit. 126: 108528 (2022) - [j45]Tharindu Fernando, Sridha Sridharan, Simon Denman, Clinton Fookes:
Split 'n' merge net: A dynamic masking network for multi-task attention. Pattern Recognit. 126: 108551 (2022) - [j44]Megan Winsen, Simon Denman, Evangeline Corcoran, Grant Hamilton:
Automated Detection of Koalas with Deep Learning Ensembles. Remote. Sens. 14(10): 2432 (2022) - [j43]Monika Jain, Arjun Tyagi, A. Venkata Subramanyam, Simon Denman, Sridha Sridharan, Clinton Fookes:
Channel Graph Regularized Correlation Filters for Visual Object Tracking. IEEE Trans. Circuits Syst. Video Technol. 32(2): 715-729 (2022) - [j42]Osman Tursun, Simon Denman, Sabesan Sivapalan, Sridha Sridharan, Clinton Fookes, Sandra Mau:
Component-Based Attention for Large-Scale Trademark Retrieval. IEEE Trans. Inf. Forensics Secur. 17: 2350-2363 (2022) - [j41]Theekshana Dissanayake, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Geometric Deep Learning for Subject Independent Epileptic Seizure Prediction Using Scalp EEG Signals. IEEE J. Biomed. Health Informatics 26(2): 527-538 (2022) - [j40]Tharindu Fernando, Sridha Sridharan, Simon Denman, Houman Ghaemmaghami, Clinton Fookes:
Robust and Interpretable Temporal Convolution Network for Event Detection in Lung Sound Recordings. IEEE J. Biomed. Health Informatics 26(7): 2898-2908 (2022) - [c103]Philip Hawkins, Frédéric Maire, Simon Denman, Mahsa Baktashmotlagh:
Modular Construction Planning Using Graph Neural Network Heuristic Search. AI 2022: 228-239 - [c102]Osman Tursun, Simon Denman, Sridha Sridharan, Clinton Fookes:
SESS: Saliency Enhancing with Scaling and Sliding. ECCV (12) 2022: 318-333 - [c101]Darshana Priyasad, Andi Partovi, Sridha Sridharan, Maryam Kashefpoor, Tharindu Fernando, Simon Denman, Clinton Fookes, Jia Tang, David Kaye:
Detecting Heart Failure Through Voice Analysis using Self-Supervised Mode-Based Memory Fusion. INTERSPEECH 2022: 2848-2852 - [c100]Ting Cao, Mohammad Ali Armin, Simon Denman, Lars Petersson, David Ahmedt-Aristizabal:
In-Bed Human Pose Estimation from Unseen and Privacy-Preserving Image Domains. ISBI 2022: 1-5 - [i62]Thisun Dayarathna, Thamidu Muthukumarana, Yasiru Rathnayaka, Simon Denman, Chathura de Silva, Akila Pemasiri, David Ahmedt-Aristizabal:
Privacy-Preserving In-Bed Pose Monitoring: A Fusion and Reconstruction Study. CoRR abs/2202.10704 (2022) - [i61]Harshala Gammulle, David Ahmedt-Aristizabal, Simon Denman, Lachlan Tychsen-Smith, Lars Petersson, Clinton Fookes:
Continuous Human Action Recognition for Human-Machine Interaction: A Review. CoRR abs/2202.13096 (2022) - [i60]Tharindu Fernando, Clinton Fookes, Harshala Gammulle, Simon Denman, Sridha Sridharan:
Towards On-Board Panoptic Segmentation of Multispectral Satellite Images. CoRR abs/2204.01952 (2022) - [i59]Osman Tursun, Simon Denman, Sridha Sridharan, Clinton Fookes:
SESS: Saliency Enhancing with Scaling and Sliding. CoRR abs/2207.01769 (2022) - [i58]Pengbo Wei, David Ahmedt-Aristizabal, Harshala Gammulle, Simon Denman, Mohammad Ali Armin:
Vision-Based Activity Recognition in Children with Autism-Related Behaviors. CoRR abs/2208.04206 (2022) - [i57]Yadan Li, Mohammad Ali Armin, Simon Denman, David Ahmedt-Aristizabal:
Automated Coronary Arteries Labeling Via Geometric Deep Learning. CoRR abs/2212.00386 (2022) - 2021
- [j39]Darshana Priyasad, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Memory based fusion for multi-modal deep learning. Inf. Fusion 67: 136-146 (2021) - [j38]David Ahmedt-Aristizabal, Mohammad Ali Armin, Simon Denman, Clinton Fookes, Lars Petersson:
Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future. Sensors 21(14): 4758 (2021) - [j37]Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Deep Inverse Reinforcement Learning for Behavior Prediction in Autonomous Driving: Accurate Forecasts of Vehicle Motion. IEEE Signal Process. Mag. 38(1): 87-96 (2021) - [j36]Theekshana Dissanayake, Tharindu Fernando, Simon Denman, Houman Ghaemmaghami, Sridha Sridharan, Clinton Fookes:
Domain Generalization in Biosignal Classification. IEEE Trans. Biomed. Eng. 68(6): 1978-1989 (2021) - [j35]Tharindu Fernando, Clinton Fookes, Simon Denman, Sridha Sridharan:
Detection of Fake and Fraudulent Faces via Neural Memory Networks. IEEE Trans. Inf. Forensics Secur. 16: 1973-1988 (2021) - [j34]Amena Khatun, Simon Denman, Sridha Sridharan, Clinton Fookes:
End-to-End Domain Adaptive Attention Network for Cross-Domain Person Re-Identification. IEEE Trans. Inf. Forensics Secur. 16: 3803-3813 (2021) - [j33]Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes:
TMMF: Temporal Multi-Modal Fusion for Single-Stage Continuous Gesture Recognition. IEEE Trans. Image Process. 30: 7689-7701 (2021) - [j32]David Ahmedt-Aristizabal, Tharindu Fernando, Simon Denman, Jonathan Edward Robinson, Sridha Sridharan, Patrick J. Johnston, Kristin R. Laurens, Clinton Fookes:
Identification of Children at Risk of Schizophrenia via Deep Learning and EEG Responses. IEEE J. Biomed. Health Informatics 25(1): 69-76 (2021) - [j31]Theekshana Dissanayake, Tharindu Fernando, Simon Denman, Sridha Sridharan, Houman Ghaemmaghami, Clinton Fookes:
A Robust Interpretable Deep Learning Classifier for Heart Anomaly Detection Without Segmentation. IEEE J. Biomed. Health Informatics 25(6): 2162-2171 (2021) - [c99]Ziqing Wang, Mohammad Ali Armin, Simon Denman, Lars Petersson, David Ahmedt-Aristizabal:
Video-Based Inpatient Fall Risk Assessment: A Case Study. EMBC 2021: 2601-2604 - [c98]Ruiqi Wang, Mohammad Ali Armin, Simon Denman, Lars Petersson, David Ahmedt-Aristizabal:
Towards Interpretable Attention Networks for Cervical Cancer Analysis. EMBC 2021: 3613-3616 - [c97]Osman Tursun, Simon Denman, Sridha Sridharan, Clinton Fookes:
Learning Regional Attention Over Multi-Resolution Deep Convolutional Features For Trademark Retrieval. ICIP 2021: 2393-2397 - [c96]Monika Jain, A. Venkata Subramanyam, Simon Denman, Sridha Sridharan, Clinton Fookes:
IGSSTRCF: Importance Guided Sparse Spatio-Temporal Regularized Correlation Filters For Tracking. WACV 2021: 2774-2783 - [i56]Osman Tursun, Simon Denman, Sridha Sridharan, Ethan Goan, Clinton Fookes:
An Efficient Framework for Zero-Shot Sketch-Based Image Retrieval. CoRR abs/2102.04016 (2021) - [i55]Osman Tursun, Simon Denman, Sridha Sridharan, Clinton Fookes:
Learning Regional Attention over Multi-resolution Deep Convolutional Features for Trademark Retrieval. CoRR abs/2104.07240 (2021) - [i54]Amena Khatun, Simon Denman, Sridha Sridharan, Clinton Fookes:
Pose-driven Attention-guided Image Generation for Person Re-Identification. CoRR abs/2104.13773 (2021) - [i53]Amena Khatun, Simon Denman, Sridha Sridharan, Clinton Fookes:
Semantic Consistency and Identity Mapping Multi-Component Generative Adversarial Network for Person Re-Identification. CoRR abs/2104.13780 (2021) - [i52]David Ahmedt-Aristizabal, Mohammad Ali Armin, Simon Denman, Clinton Fookes, Lars Petersson:
Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future. CoRR abs/2105.13137 (2021) - [i51]Ruiqi Wang, Mohammad Ali Armin, Simon Denman, Lars Petersson, David Ahmedt-Aristizabal:
Towards Interpretable Attention Networks for Cervical Cancer Analysis. CoRR abs/2106.00557 (2021) - [i50]Ziqing Wang, Mohammad Ali Armin, Simon Denman, Lars Petersson, David Ahmedt-Aristizabal:
Video-Based Inpatient Fall Risk Assessment: A Case Study. CoRR abs/2106.07565 (2021) - [i49]Tharindu Fernando, Sridha Sridharan, Simon Denman, Houman Ghaemmaghami, Clinton Fookes:
Robust and Interpretable Temporal Convolution Network for Event Detection in Lung Sound Recordings. CoRR abs/2106.15835 (2021) - [i48]David Ahmedt-Aristizabal, Mohammad Ali Armin, Simon Denman, Clinton Fookes, Lars Petersson:
A Survey on Graph-Based Deep Learning for Computational Histopathology. CoRR abs/2107.00272 (2021) - [i47]Harshala Gammulle, Tharindu Fernando, Sridha Sridharan, Simon Denman, Clinton Fookes:
Multi-Slice Net: A novel light weight framework for COVID-19 Diagnosis. CoRR abs/2108.03786 (2021) - [i46]Ting Cao, Mohammad Ali Armin, Simon Denman, Lars Petersson, David Ahmedt-Aristizabal:
In-Bed Human Pose Estimation from Unseen and Privacy-Preserving Image Domains. CoRR abs/2111.15124 (2021) - 2020
- [j30]Monika Jain, A. Venkata Subramanyam, Simon Denman, Sridha Sridharan, Clinton Fookes:
LSTM guided ensemble correlation filter tracking with appearance model pool. Comput. Vis. Image Underst. 195: 102935 (2020) - [j29]Amena Khatun, Simon Denman, Sridha Sridharan, Clinton Fookes:
Joint identification-verification for person re-identification: A four stream deep learning approach with improved quartet loss function. Comput. Vis. Image Underst. 197-198: 102989 (2020) - [j28]Osman Tursun, Simon Denman, Rui Zeng, Sabesan Sivapalan, Sridha Sridharan, Clinton Fookes:
MTRNet++: One-stage mask-based scene text eraser. Comput. Vis. Image Underst. 201: 103066 (2020) - [j27]Joseph West, Frédéric Maire, Cameron Browne, Simon Denman:
Improved reinforcement learning with curriculum. Expert Syst. Appl. 158: 113515 (2020) - [j26]Tharindu Fernando, Simon Denman, David Ahmedt-Aristizabal, Sridha Sridharan, Kristin R. Laurens, Patrick J. Johnston, Clinton Fookes:
Neural memory plasticity for medical anomaly detection. Neural Networks 127: 67-81 (2020) - [j25]Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes:
Fine-grained action segmentation using the semi-supervised action GAN. Pattern Recognit. 98 (2020) - [j24]Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes:
Hierarchical Attention Network for Action Segmentation. Pattern Recognit. Lett. 131: 442-448 (2020) - [j23]Tharindu Fernando, Sridha Sridharan, Mitchell McLaren, Darshana Priyasad, Simon Denman, Clinton Fookes:
Temporarily-Aware Context Modeling Using Generative Adversarial Networks for Speech Activity Detection. IEEE ACM Trans. Audio Speech Lang. Process. 28: 1159-1169 (2020) - [j22]Tharindu Fernando, Houman Ghaemmaghami, Simon Denman, Sridha Sridharan, Nayyar Hussain, Clinton Fookes:
Heart Sound Segmentation Using Bidirectional LSTMs With Attention. IEEE J. Biomed. Health Informatics 24(6): 1601-1609 (2020) - [j21]Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Memory Augmented Deep Generative Models for Forecasting the Next Shot Location in Tennis. IEEE Trans. Knowl. Data Eng. 32(9): 1785-1797 (2020) - [c95]Rui Zeng, Zongyuan Ge, Simon Denman, Sridha Sridharan, Clinton Fookes:
Geometry-Constrained Car Recognition Using a 3D Perspective Network. AAAI 2020: 1161-1168 - [c94]Dominic Jack, Frédéric Maire, Simon Denman, Anders P. Eriksson:
Sparse Convolutions on Continuous Domains for Point Cloud and Event Stream Networks. ACCV (1) 2020: 400-416 - [c93]Michael Halstead, Simon Denman, Clinton Fookes, Chris McCool:
Fruit Detection in the Wild: The Impact of Varying Conditions and Cultivar. DICTA 2020: 1-8 - [c92]David Ahmedt-Aristizabal, Mohammad Ali Armin, Simon Denman, Clinton Fookes, Lars Petersson:
Attention Networks for Multi-Task Signal Analysis. EMBC 2020: 184-187 - [c91]David Ahmedt-Aristizabal, Tharindu Fernando, Simon Denman, Lars Petersson, Matthew J. Aburn, Clinton Fookes:
Neural Memory Networks for Seizure Type Classification. EMBC 2020: 569-575 - [c90]Darshana Priyasad, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Attention Driven Fusion for Multi-Modal Emotion Recognition. ICASSP 2020: 3227-3231 - [c89]Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes:
Two-Stream Deep Feature Modelling for Automated Video Endoscopy Data Analysis. MICCAI (3) 2020: 742-751 - [c88]Amena Khatun, Simon Denman, Sridha Sridharan, Clinton Fookes:
Semantic Consistency and Identity Mapping Multi-Component Generative Adversarial Network for Person Re-Identification. WACV 2020: 2256-2265 - [d1]Evangeline Corcoran, Simon Denman, Grant Hamilton:
Datasets: New technologies in the mix: Assessing N-mixture models for abundance estimation using automated detection data from drone surveys. Zenodo, 2020 - [i45]Osman Tursun, Simon Denman, Sridha Sridharan, Clinton Fookes:
Enhancing Feature Invariance with Learned Image Transformations for Image Retrieval. CoRR abs/2002.01642 (2020) - [i44]Dung Nguyen, Sridha Sridharan, Duc Thanh Nguyen, Simon Denman, Son N. Tran, Rui Zeng, Clinton Fookes:
Joint Deep Cross-Domain Transfer Learning for Emotion Recognition. CoRR abs/2003.11136 (2020) - [i43]Tharindu Fernando, Sridha Sridharan, Mitchell McLaren, Darshana Priyasad, Simon Denman, Clinton Fookes:
Temporarily-Aware Context Modelling using Generative Adversarial Networks for Speech Activity Detection. CoRR abs/2004.01546 (2020) - [i42]Tharindu Fernando, Houman Ghaemmaghami, Simon Denman, Sridha Sridharan, Nayyar Hussain, Clinton Fookes:
Heart Sound Segmentation using Bidirectional LSTMs with Attention. CoRR abs/2004.03712 (2020) - [i41]Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes:
Hierarchical Attention Network for Action Segmentation. CoRR abs/2005.03209 (2020) - [i40]Amena Khatun, Simon Denman, Sridha Sridharan, Clinton Fookes:
End-to-End Domain Adaptive Attention Network for Cross-Domain Person Re-Identification. CoRR abs/2005.03222 (2020) - [i39]Theekshana Dissanayake, Tharindu Fernando, Simon Denman, Sridha Sridharan, Houman Ghaemmaghami, Clinton Fookes:
Understanding the Importance of Heart Sound Segmentation for Heart Anomaly Detection. CoRR abs/2005.10480 (2020) - [i38]Dung Nguyen, Sridha Sridharan, Duc Thanh Nguyen, Simon Denman, David Dean, Clinton Fookes:
Meta Transfer Learning for Emotion Recognition. CoRR abs/2006.13211 (2020) - [i37]Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes:
Two-Stream Deep Feature Modelling for Automated Video Endoscopy Data Analysis. CoRR abs/2007.05914 (2020) - [i36]Darshana Priyasad, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Memory Based Attentive Fusion. CoRR abs/2007.08076 (2020) - [i35]Darshana Priyasad, Tharindu Fernando, Simon Denman, Clinton Fookes, Sridha Sridharan:
Attention Driven Fusion for Multi-Modal Emotion Recognition. CoRR abs/2009.10991 (2020) - [i34]Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes:
Multi-modal Fusion for Single-Stage Continuous Gesture Recognition. CoRR abs/2011.04945 (2020) - [i33]Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Fast & Slow Learning: Incorporating Synthetic Gradients in Neural Memory Controllers. CoRR abs/2011.05438 (2020) - [i32]Theekshana Dissanayake, Tharindu Fernando, Simon Denman, Houman Ghaemmaghami, Sridha Sridharan, Clinton Fookes:
Domain Generalization in Biosignal Classification. CoRR abs/2011.06207 (2020) - [i31]Theekshana Dissanayake, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Patient-independent Epileptic Seizure Prediction using Deep Learning Models. CoRR abs/2011.09581 (2020) - [i30]Dominic Jack, Frédéric Maire, Simon Denman, Anders P. Eriksson:
Sparse Convolutions on Continuous Domains for Point Cloud and Event Stream Networks. CoRR abs/2012.01170 (2020) - [i29]Tharindu Fernando, Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes:
Deep Learning for Medical Anomaly Detection - A Survey. CoRR abs/2012.02364 (2020)
2010 – 2019
- 2019
- [j20]Michael Halstead, Simon Denman, Sridha Sridharan, Yingli Tian, Clinton Fookes:
Multimodal clothing recognition for semantic search in unconstrained surveillance imagery. J. Vis. Commun. Image Represent. 58: 439-452 (2019) - [j19]Simon Denman, Clinton Fookes, Prasad K. D. V. Yarlagadda, Sridha Sridharan:
Scene Invariant Virtual Gates Using DNNs. IEEE Trans. Circuits Syst. Video Technol. 29(9): 2637-2651 (2019) - [j18]David Ahmedt-Aristizabal, Simon Denman, Kien Nguyen, Sridha Sridharan, Sasha Dionisio, Clinton Fookes:
Understanding Patients' Behavior: Vision-Based Analysis of Seizure Disorders. IEEE J. Biomed. Health Informatics 23(6): 2583-2591 (2019) - [c87]Darshana Priyasad, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Learning Salient Features for Multimodal Emotion Recognition with Recurrent Neural Networks and Attention Based Fusion. AVSP 2019: 21-26 - [c86]Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes:
Forecasting Future Action Sequences with Neural Memory Networks. BMVC 2019: 298 - [c85]Philip Hawkins, Frédéric Maire, Simon Denman, Mahsa Baktashmotlagh:
Object Graph Networks for Spatial Language Grounding. DICTA 2019: 1-8 - [c84]David Ahmedt-Aristizabal, Kien Nguyen, Simon Denman, M. Saquib Sarfraz, Sridha Sridharan, Sasha Dionisio, Clinton Fookes:
Vision-Based Mouth Motion Analysis in Epilepsy: A 3D Perspective. EMBC 2019: 1625-1629 - [c83]David Ahmedt-Aristizabal, M. Saquib Sarfraz, Simon Denman, Kien Nguyen, Clinton Fookes, Sasha Dionisio, Rainer Stiefelhagen:
Motion Signatures for the Analysis of Seizure Evolution in Epilepsy. EMBC 2019: 2099-2105 - [c82]Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes:
Predicting the Future: A Jointly Learnt Model for Action Anticipation. ICCV 2019: 5561-5570 - [c81]Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Neighbourhood Context Embeddings in Deep Inverse Reinforcement Learning for Predicting Pedestrian Motion Over Long Time Horizons. ICCV Workshops 2019: 1179-1187 - [c80]Osman Tursun, Rui Zeng, Simon Denman, Sabesan Sivapalan, Sridha Sridharan, Clinton Fookes:
MTRNet: A Generic Scene Text Eraser. ICDAR 2019: 39-44 - [c79]Harshala Gammulle, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Coupled Generative Adversarial Network for Continuous Fine-Grained Action Segmentation. WACV 2019: 200-209 - [i28]Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Memory Augmented Deep Generative models for Forecasting the Next Shot Location in Tennis. CoRR abs/1901.05123 (2019) - [i27]Osman Tursun, Rui Zeng, Simon Denman, Sabesan Sivipalan, Sridha Sridharan, Clinton Fookes:
MTRNet: A Generic Scene Text Eraser. CoRR abs/1903.04092 (2019) - [i26]Rui Zeng, Zongyuan Ge, Simon Denman, Sridha Sridharan, Clinton Fookes:
Geometry-constrained Car Recognition Using a 3D Perspective Network. CoRR abs/1903.07916 (2019) - [i25]Joseph West, Frédéric Maire, Cameron Browne, Simon Denman:
Improved Reinforcement Learning with Curriculum. CoRR abs/1903.12328 (2019) - [i24]Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes:
Fine-grained Action Segmentation using the Semi-Supervised Action GAN. CoRR abs/1909.09269 (2019) - [i23]Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes:
Forecasting Future Action Sequences with Neural Memory Networks. CoRR abs/1909.09278 (2019) - [i22]Harshala Gammulle, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Coupled Generative Adversarial Network for Continuous Fine-grained Action Segmentation. CoRR abs/1909.09283 (2019) - [i21]Tharindu Fernando, Simon Denman, David Ahmedt-Aristizabal, Sridha Sridharan, Kristin R. Laurens, Patrick J. Johnston, Clinton Fookes:
Neural Memory Plasticity for Anomaly Detection. CoRR abs/1910.05448 (2019) - [i20]Tharindu Fernando, Clinton Fookes, Simon Denman, Sridha Sridharan:
Exploiting Human Social Cognition for the Detection of Fake and Fraudulent Faces via Memory Networks. CoRR abs/1911.07844 (2019) - [i19]David Ahmedt-Aristizabal, Tharindu Fernando, Simon Denman, Lars Petersson, Matthew J. Aburn, Clinton Fookes:
Neural Memory Networks for Robust Classification of Seizure Type. CoRR abs/1912.04968 (2019) - [i18]Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes:
Predicting the Future: A Jointly Learnt Model for Action Anticipation. CoRR abs/1912.07148 (2019) - [i17]Osman Tursun, Simon Denman, Rui Zeng, Sabesan Sivapalan, Sridha Sridharan, Clinton Fookes:
MTRNet++: One-stage Mask-based Scene Text Eraser. CoRR abs/1912.07183 (2019) - 2018
- [j17]Tharindu Fernando, Simon Denman, Aaron McFadyen, Sridha Sridharan, Clinton Fookes:
Tree Memory Networks for modelling long-term temporal dependencies. Neurocomputing 304: 64-81 (2018) - [j16]Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Soft + Hardwired attention: An LSTM framework for human trajectory prediction and abnormal event detection. Neural Networks 108: 466-478 (2018) - [j15]Michael Halstead, Christopher McCool, Simon Denman, Tristan Perez, Clinton Fookes:
Fruit Quantity and Ripeness Estimation Using a Robotic Vision System. IEEE Robotics Autom. Lett. 3(4): 2995-3002 (2018) - [c78]Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
GD-GAN: Generative Adversarial Networks for Trajectory Prediction and Group Detection in Crowds. ACCV (1) 2018: 314-330 - [c77]Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes:
Multi-level Sequence GAN for Group Activity Recognition. ACCV (1) 2018: 331-346 - [c76]Rui Zeng, Simon Denman, Sridha Sridharan, Clinton Fookes:
Rethinking Planar Homography Estimation Using Perspective Fields. ACCV (6) 2018: 571-586 - [c75]Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Learning Temporal Strategic Relationships using Generative Adversarial Imitation Learning. AAMAS 2018: 113-121 - [c74]Michael Halstead, Simon Denman, Clinton Fookes, Yingli Tian, Mark S. Nixon:
Semantic Person Retrieval in Surveillance Using Soft Biometrics: AVSS 2018 Challenge II. AVSS 2018: 1-6 - [c73]Tharindu Fernando, Sridha Sridharan, Clinton Fookes, Simon Denman:
Deep Decision Trees for Discriminative Dictionary Learning With Adversarial Multi-Agent Trajectories. CVPR Workshops 2018: 1722-1731 - [c72]Shafeeq Elanattil, Peyman Moghadam, Simon Denman, Sridha Sridharan, Clinton Fookes:
Skeleton Driven Non-Rigid Motion Tracking and 3D Reconstruction. DICTA 2018: 1-8 - [c71]David Ahmedt-Aristizabal, Kien Nguyen, Simon Denman, Sridha Sridharan, Sasha Dionisio, Clinton Fookes:
Deep Motion Analysis for Epileptic Seizure Classification. EMBC 2018: 3578-3581 - [c70]Rui Zeng, Ruan Lakemond, Simon Denman, Sridha Sridharan, Clinton Fookes, Stuart Morgan:
Calibrating Cameras in Poor-Conditioned Pitch-Based Sports Games. ICASSP 2018: 1902-1906 - [c69]Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Pedestrian Trajectory Prediction with Structured Memory Hierarchies. ECML/PKDD (1) 2018: 241-256 - [c68]Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Tracking by Prediction: A Deep Generative Model for Mutli-person Localisation and Tracking. WACV 2018: 1122-1132 - [c67]Amena Khatun, Simon Denman, Sridha Sridharan, Clinton Fookes:
A Deep Four-Stream Siamese Convolutional Neural Network with Joint Verification and Identification Loss for Person Re-Detection. WACV 2018: 1292-1301 - [c66]Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Task Specific Visual Saliency Prediction with Memory Augmented Conditional Generative Adversarial Networks. WACV 2018: 1539-1548 - [i16]Michael Halstead, Chris McCool, Simon Denman, Tristan Perez, Clinton Fookes:
Fruit Quantity and Quality Estimation using a Robotic Vision System. CoRR abs/1801.05560 (2018) - [i15]Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Tracking by Prediction: A Deep Generative Model for Mutli-Person localisation and Tracking. CoRR abs/1803.03347 (2018) - [i14]Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Task Specific Visual Saliency Prediction with Memory Augmented Conditional Generative Adversarial Networks. CoRR abs/1803.03354 (2018) - [i13]Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Learning Temporal Strategic Relationships using Generative Adversarial Imitation Learning. CoRR abs/1805.04969 (2018) - [i12]Tharindu Fernando, Sridha Sridharan, Clinton Fookes, Simon Denman:
Deep Decision Trees for Discriminative Dictionary Learning with Adversarial Multi-Agent Trajectories. CoRR abs/1805.05009 (2018) - [i11]Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Pedestrian Trajectory Prediction with Structured Memory Hierarchies. CoRR abs/1807.08381 (2018) - [i10]Shafeeq Elanattil, Peyman Moghadam, Simon Denman, Sridha Sridharan, Clinton Fookes:
Skeleton Driven Non-rigid Motion Tracking and 3D Reconstruction. CoRR abs/1810.03774 (2018) - [i9]Osman Tursun, Simon Denman, Sabesan Sivapalan, Sridha Sridharan, Clinton Fookes, Sandra Mau:
Component-based Attention for Large-scale Trademark Retrieval. CoRR abs/1811.02746 (2018) - [i8]Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes:
Multi-Level Sequence GAN for Group Activity Recognition. CoRR abs/1812.07124 (2018) - [i7]Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
GD-GAN: Generative Adversarial Networks for Trajectory Prediction and Group Detection in Crowds. CoRR abs/1812.07667 (2018) - [i6]Amena Khatun, Simon Denman, Sridha Sridharan, Clinton Fookes:
A Deep Four-Stream Siamese Convolutional Neural Network with Joint Verification and Identification Loss for Person Re-detection. CoRR abs/1812.08983 (2018) - 2017
- [c65]Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Going Deeper: Autonomous Steering with Neural Memory Networks. ICCV Workshops 2017: 214-221 - [c64]Iman Abbasnejad, Sridha Sridharan, Dung Nguyen Tien, Simon Denman, Clinton Fookes, Simon Lucey:
Using Synthetic Data to Improve Facial Expression Analysis with 3D Convolutional Networks. ICCV Workshops 2017: 1609-1618 - [c63]Afsaneh Ghasemi, Mahsa Baktashmotlagh, Simon Denman, Sridha Sridharan, Dung Nguyen Tien, Clinton Fookes:
Deep discovery of facial motions using a shallow embedding layer. ICIP 2017: 1567-1571 - [c62]Xufeng Guo, Kien Nguyen, Simon Denman, Clinton Fookes, Sridha Sridharan:
Single image depth prediction using super-column super-pixel features. ICIP 2017: 2657-2661 - [c61]Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes:
Two Stream LSTM: A Deep Fusion Framework for Human Action Recognition. WACV 2017: 177-186 - [c60]Iman Abbasnejad, Sridha Sridharan, Simon Denman, Clinton Fookes, Simon Lucey:
From Affine Rank Minimization Solution to Sparse Modeling. WACV 2017: 501-509 - [p3]Simon Denman, Michael Halstead, Clinton Fookes, Sridha Sridharan:
Locating People in Surveillance Video Using Soft Biometric Traits. Handbook of Biometrics for Forensic Science 2017: 267-288 - [i5]Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Soft + Hardwired Attention: An LSTM Framework for Human Trajectory Prediction and Abnormal Event Detection. CoRR abs/1702.05552 (2017) - [i4]Tharindu Fernando, Simon Denman, Aaron McFadyen, Sridha Sridharan, Clinton Fookes:
Tree Memory Networks for Modelling Long-term Temporal Dependencies. CoRR abs/1703.04706 (2017) - [i3]Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes:
Two Stream LSTM: A Deep Fusion Framework for Human Action Recognition. CoRR abs/1704.01194 (2017) - [i2]Iman Abbasnejad, Sridha Sridharan, Simon Denman, Clinton Fookes, Simon Lucey:
Joint Max Margin and Semantic Features for Continuous Event Detection in Complex Scenes. CoRR abs/1706.04122 (2017) - 2016
- [j14]Jingxin Xu, Simon Denman, Clinton Fookes, Sridha Sridharan:
Detecting rare events using Kullback-Leibler divergence: A weakly supervised approach. Expert Syst. Appl. 54: 13-28 (2016) - [c59]Iman Abbasnejad, Sridha Sridharan, Simon Denman, Clinton Fookes, Simon Lucey:
Complex Event Detection Using Joint Max Margin and Semantic Features. DICTA 2016: 1-8 - [c58]Rui Zeng, Ruan Lakemond, Simon Denman, Sridha Sridharan, Clinton Fookes, Stuart Morgan:
Vertical Axis Detection for Sport Video Analytics. DICTA 2016: 1-7 - [c57]Xufeng Guo, Simon Denman, Clinton Fookes, Sridha Sridharan:
A robust UAV landing site detection system using mid-level discriminative patches. ICPR 2016: 1659-1664 - [c56]Afsaneh Ghasemi, Simon Denman, Sridha Sridharan, Clinton Fookes:
Discovery of facial motions using deep machine perception. WACV 2016: 1-7 - 2015
- [j13]David Ryan, Simon Denman, Sridha Sridharan, Clinton Fookes:
An evaluation of crowd counting methods, features and regression models. Comput. Vis. Image Underst. 130: 1-17 (2015) - [j12]Simon Denman, Tristan Kleinschmidt, David Ryan, Paul Barnes, Sridha Sridharan, Clinton Fookes:
Automatic surveillance in transportation hubs: No longer just about catching the bad guy. Expert Syst. Appl. 42(24): 9449-9467 (2015) - [j11]Simon Denman, Michael Halstead, Clinton Fookes, Sridha Sridharan:
Searching for people using semantic soft biometric descriptions. Pattern Recognit. Lett. 68: 306-315 (2015) - [j10]Jingxin Xu, Simon Denman, Sridha Sridharan, Clinton Fookes:
An Efficient and Robust System for Multiperson Event Detection in Real-World Indoor Surveillance Scenes. IEEE Trans. Circuits Syst. Video Technol. 25(6): 1063-1076 (2015) - [j9]Kien Nguyen Thanh, Simon Denman, Sridha Sridharan, Clinton Fookes:
Score-Level Multibiometric Fusion Based on Dempster-Shafer Theory Incorporating Uncertainty Factors. IEEE Trans. Hum. Mach. Syst. 45(1): 132-140 (2015) - [c55]Simon Denman, Clinton Fookes, David Ryan, Sridha Sridharan:
Large scale monitoring of crowds and building utilisation: A new database and distributed approach. AVSS 2015: 1-6 - [c54]Iman Abbasnejad, Sridha Sridharan, Simon Denman, Clinton Fookes, Simon Lucey:
Learning Temporal Alignment Uncertainty for Efficient Event Detection. DICTA 2015: 1-8 - [c53]Kaneswaran Anantharajah, Simon Denman, Dian Tjondronegoro, Sridha Sridharan, Clinton Fookes:
Robust Automatic Face Clustering in News Video. DICTA 2015: 1-8 - [c52]Jack Valmadre, Sridha Sridharan, Simon Denman, Clinton Fookes, Simon Lucey:
Closed-Form Solutions for Low-Rank Non-Rigid Reconstruction. DICTA 2015: 1-6 - [c51]Jingxin Xu, Simon Denman, Clinton Fookes, Sridha Sridharan:
Detecting rare events using Kullback-Leibler divergence. ICASSP 2015: 1305-1309 - [c50]Simon Denman, Michael Halstead, Clinton Fookes, Sridha Sridharan:
Searching for semantic person queries using channel representations. ICASSP 2015: 1568-1572 - [c49]Sabanadesan Umakanthan, Simon Denman, Clinton Fookes, Sridha Sridharan:
Class-specific sparse codes for representing activities. ICIP 2015: 4902-4906 - [i1]Iman Abbasnejad, Sridha Sridharan, Simon Denman, Clinton Fookes, Simon Lucey:
Learning Temporal Alignment Uncertainty for Efficient Event Detection. CoRR abs/1509.01343 (2015) - 2014
- [j8]David Ryan, Simon Denman, Clinton Fookes, Sridha Sridharan:
Scene invariant multi camera crowd counting. Pattern Recognit. Lett. 44: 98-112 (2014) - [j7]Jingxin Xu, Simon Denman, Vikas Reddy, Clinton Fookes, Sridha Sridharan:
Real-time video event detection in crowded scenes using MPEG derived features: A multiple instance learning approach. Pattern Recognit. Lett. 44: 113-125 (2014) - [c48]Hajananth Nallaivarothayan, Clinton Fookes, Simon Denman, Sridha Sridharan:
An MRF based abnormal event detection approach using motion and appearance features. AVSS 2014: 343-348 - [c47]Xufeng Guo, Simon Denman, Clinton Fookes, Luis Mejías, Sridha Sridharan:
Automatic UAV Forced Landing Site Detection Using Machine Learning. DICTA 2014: 1-7 - [c46]Sabanadesan Umakanthan, Simon Denman, Clinton Fookes, Sridha Sridharan:
Supervised Latent Dirichlet Allocation Models for Efficient Activity Representation. DICTA 2014: 1-6 - [c45]Sabanadesan Umakanthan, Simon Denman, Clinton Fookes, Sridha Sridharan:
Multiple Instance Dictionary Learning for Activity Representation. ICPR 2014: 1377-1382 - [c44]Michael Halstead, Simon Denman, Sridha Sridharan, Clinton Fookes:
Locating People in Video from Semantic Descriptions: A New Database and Approach. ICPR 2014: 4501-4506 - [c43]Simon Denman, David Dean, Clinton Fookes, Sridha Sridharan:
SAIVT-ADMRG @ MediaEval 2014 Social Event Detection. MediaEval 2014 - [c42]Sabanadesan Umakanthan, Simon Denman, Clinton Fookes, Sridha Sridharan:
Activity recognition using binary tree SVM. SSP 2014: 248-251 - [c41]Kaneswaran Anantharajah, ZongYuan Ge, Chris McCool, Simon Denman, Clinton Fookes, Peter Corke, Dian Tjondronegoro, Sridha Sridharan:
Local inter-session variability modelling for object classification. WACV 2014: 309-316 - 2013
- [j6]Kien Nguyen Thanh, Clinton Fookes, Sridha Sridharan, Simon Denman:
Feature-domain super-resolution for iris recognition. Comput. Vis. Image Underst. 117(10): 1526-1535 (2013) - [c40]Sabesan Sivapalan, Daniel Chen, Simon Denman, Sridha Sridharan, Clinton Fookes:
Histogram of Weighted Local Directions for Gait Recognition. CVPR Workshops 2013: 125-130 - [c39]Alina Bialkowski, Patrick Lucey, Peter Carr, Simon Denman, Iain A. Matthews, Sridha Sridharan:
Recognising Team Activities from Noisy Data. CVPR Workshops 2013: 984-990 - [c38]Kaneswaran Anantharajah, Simon Denman, Dian Tjondronegoro, Sridha Sridharan, Clinton Fookes, Xufeng Guo:
Quality Based Frame Selection for Face Clustering in News Video. DICTA 2013: 1-8 - [c37]Hajananth Nallaivarothayan, David Ryan, Simon Denman, Sridha Sridharan, Clinton Fookes:
An Evaluation of Different Features and Learning Models for Anomalous Event Detection. DICTA 2013: 1-8 - [c36]Sabanadesan Umakanthan, Simon Denman, Clinton Fookes, Sridha Sridharan:
Semi-Binary Based Video Features for Activity Representation. DICTA 2013: 1-7 - 2012
- [j5]Simon Denman:
Why multi-layered security is still the best defence. Netw. Secur. 2012(3): 5-7 (2012) - [j4]Stephen Vidas, Ruan Lakemond, Simon Denman, Clinton Fookes, Sridha Sridharan, Tim Wark:
A Mask-Based Approach for the Geometric Calibration of Thermal-Infrared Cameras. IEEE Trans. Instrum. Meas. 61(6): 1625-1635 (2012) - [c35]Jingxin Xu, Simon Denman, Clinton Fookes, Sridha Sridharan:
Unusual Scene Detection Using Distributed Behaviour Model and Sparse Representation. AVSS 2012: 48-53 - [c34]Jingxin Xu, Simon Denman, Sridha Sridharan, Clinton Fookes:
Activity Analysis in Complicated Scenes Using DFT Coefficients of Particle Trajectories. AVSS 2012: 82-87 - [c33]Kien Nguyen Thanh, Sridha Sridharan, Simon Denman, Clinton Fookes:
Feature-domain super-resolution framework for Gabor-based face and iris recognition. CVPR 2012: 2642-2649 - [c32]Alina Bialkowski, Simon Denman, Sridha Sridharan, Clinton Fookes, Patrick Lucey:
A Database for Person Re-Identification in Multi-Camera Surveillance Networks. DICTA 2012: 1-8 - [c31]Simon Denman, Michael Halstead, Alina Bialkowski, Clinton Fookes, Sridha Sridharan:
Can You Describe Him for Me? A Technique for Semantic Person Search in Video. DICTA 2012: 1-8 - [c30]Hajananth Nallaivarothayan, David Ryan, Simon Denman, Sridha Sridharan, Clinton Fookes:
Anomalous Event Detection Using a Semi-Two Dimensional Hidden Markov Model. DICTA 2012: 1-7 - [c29]Sabesan Sivapalan, Daniel Chen, Simon Denman, Sridha Sridharan, Clinton Fookes:
The Backfilled GEI - A Cross-Capture Modality Gait Feature for Frontal and Side-View Gait Recognition. DICTA 2012: 1-8 - [c28]Sabanadesan Umakanthan, Simon Denman, Sridha Sridharan, Clinton Fookes, Tim Wark:
Spatio Temporal Feature Evaluation for Action Recognition. DICTA 2012: 1-8 - [c27]Kaneswaran Anantharajah, Simon Denman, Sridha Sridharan, Clinton Fookes, Dian Tjondronegoro:
Quality based frame selection for video face recognition. ICSPCS 2012: 1-5 - [c26]Jingxin Xu, Simon Denman, Sridha Sridharan, Clinton Fookes:
SAIVT-QUT@TRECVid 2012: Interactive Surveillance Event Detection. TRECVID 2012 - [p2]David Ryan, Simon Denman, Sridha Sridharan, Clinton Fookes:
Scene Invariant Crowd Counting and Crowd Occupancy Analysis. Video Analytics for Business Intelligence 2012: 161-198 - [p1]Simon Denman, Alina Bialkowski, Clinton Fookes, Sridha Sridharan:
Identifying Customer Behaviour and Dwell Time Using Soft Biometrics. Video Analytics for Business Intelligence 2012: 199-238 - 2011
- [j3]Kien Nguyen Thanh, Clinton Fookes, Sridha Sridharan, Simon Denman:
Quality-Driven Super-Resolution for Less Constrained Iris Recognition at a Distance and on the Move. IEEE Trans. Inf. Forensics Secur. 6(4): 1248-1258 (2011) - [c25]David Ryan, Simon Denman, Clinton Fookes, Sridha Sridharan:
Textures of optical flow for real-time anomaly detection in crowds. AVSS 2011: 230-235 - [c24]Sabesan Sivapalan, Daniel Chen, Simon Denman, Sridha Sridharan, Clinton Fookes:
3D ellipsoid fitting for multi-view gait recognition. AVSS 2011: 355-360 - [c23]Simon Denman, Alina Bialkowski, Clinton Fookes, Sridha Sridharan:
Determining operational measures from multi-camera surveillance systems using soft biometrics. AVSS 2011: 462-467 - [c22]Jingxin Xu, Simon Denman, Sridha Sridharan, Clinton Fookes:
Activity Modelling in Crowded Environments: A Soft-Decision Approach. DICTA 2011: 107-112 - [c21]Xufeng Guo, David Dean, Simon Denman, Clinton Fookes, Sridha Sridharan:
Evaluating Automatic Road Detection across a Large Aerial Imagery Collection. DICTA 2011: 140-145 - [c20]Stephen Vidas, Ruan Lakemond, Simon Denman, Clinton Fookes, Sridha Sridharan, Tim Wark:
An Exploration of Feature Detector Performance in the Thermal-Infrared Modality. DICTA 2011: 217-224 - [c19]David Ryan, Simon Denman, Sridha Sridharan, Clinton Fookes:
Scene Invariant Crowd Counting. DICTA 2011: 237-242 - [c18]Jingxin Xu, Simon Denman, Clinton Fookes, Sridha Sridharan:
Unusual Event Detection in Crowded Scenes Using Bag of LBPs in Spatio-Temporal Patches. DICTA 2011: 549-554 - [c17]Sabesan Sivapalan, Rajib Kumar Rana, Daniel Chen, Sridha Sridharan, Simon Denman, Clinton Fookes:
Compressive Sensing for Gait Recognition. DICTA 2011: 567-571 - [c16]Sabesan Sivapalan, Daniel Chen, Simon Denman, Sridha Sridharan, Clinton Fookes:
Gait energy volumes and frontal gait recognition using depth images. IJCB 2011: 1-6 - [c15]Kien Nguyen Thanh, Clinton Fookes, Sridha Sridharan, Simon Denman:
Feature-domain super-resolution for iris recognition. ICIP 2011: 3197-3200 - 2010
- [j2]Simon Denman, Todd Lamb, Clinton Fookes, Vinod Chandran, Sridha Sridharan:
Multi-spectral fusion for surveillance systems. Comput. Electr. Eng. 36(4): 643-663 (2010) - [c14]David Ryan, Simon Denman, Clinton Fookes, Sridha Sridharan:
Crowd Counting Using Group Tracking and Local Features. AVSS 2010: 218-224 - [c13]Simon Denman, Clinton Fookes, Sridha Sridharan, David Ryan:
Multi-Modal Object Tracking using Dynamic Performance Metrics. AVSS 2010: 286-293 - [c12]Daniel Chen, Simon Denman, Clinton Fookes, Sridha Sridharan:
Accurate Silhouettes for Surveillance - Improved Motion Segmentation Using Graph Cuts. DICTA 2010: 369-374 - [c11]Daniel Chen, Simon Denman, Clinton Fookes:
Accurate silhouette segmentation using motion detection and graph cuts. ISSPA 2010: 81-84
2000 – 2009
- 2009
- [c10]Simon Denman, Clinton Fookes, Sridha Sridharan, Ruan Lakemond:
Dynamic Performance Measures for Object Tracking Systems. AVSS 2009: 541-546 - [c9]David Ryan, Simon Denman, Clinton Fookes, Sridha Sridharan:
Crowd Counting Using Multiple Local Features. DICTA 2009: 81-88 - [c8]Simon Denman, Clinton Fookes, Sridha Sridharan:
Improved Simultaneous Computation of Motion Detection and Optical Flow for Object Tracking. DICTA 2009: 175-182 - [c7]Simon Denman, Clinton Fookes, Alina Bialkowski, Sridha Sridharan:
Soft-Biometrics: Unconstrained Authentication in a Surveillance Environment. DICTA 2009: 196-203 - 2007
- [j1]Simon Denman, Vinod Chandran, Sridha Sridharan:
An adaptive optical flow technique for person tracking systems. Pattern Recognit. Lett. 28(10): 1232-1239 (2007) - [c6]Frank Lin, Simon Denman, Vinod Chandran, Sridha Sridharan:
Automatic Tracking, Super-Resolution and Recognition of Human Faces from Surveillance Video. MVA 2007: 37-40 - [c5]Simon Denman, Vinod Chandran, Sridha Sridharan:
Robust Real Time Multi-Layer Foreground Segmentation. MVA 2007: 496-499 - 2006
- [c4]Simon Denman, Vinod Chandran, Sridha Sridharan, Clinton Fookes:
A Multi-Class Tracker Using a Scalable Condensation Filter. AVSS 2006: 25 - [c3]Simon Denman, Clinton Fookes, Jamie Cook, Chris Davoren, Anthony Mamic, Graeme Farquharson, Daniel Chen, Brenden Chen, Sridha Sridharan:
Multi-view Intelligent Vehicle Surveillance System. AVSS 2006: 26 - 2005
- [c2]Simon Denman, Vinod Chandran, Sridha Sridharan:
Adaptive Optical Flow for Person Tracking. DICTA 2005: 8 - [c1]Simon Denman, Vinod Chandran, Sridha Sridharan:
Tracking people in 3D using position, size and shape. ISSPA 2005: 611-614
Coauthor Index
aka: Sabesan Sivapalan
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