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2020 – today
- 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) - [c104]Zi Huang, Akila Pemasiri, Simon Denman, Clinton Fookes, Terrence Martin:
Multi-Task Learning For Radar Signal Characterisation. ICASSP Workshops 2023: 1-5 - [c103]Yadan Li, Mohammad Ali Armin, Simon Denman, David Ahmedt-Aristizabal:
Automated Coronary Arteries Labeling Via Geometric Deep Learning. ISBI 2023: 1-5 - [i65]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) - [i64]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) - [i63]Zi Huang, Akila Pemasiri, Simon Denman, Clinton Fookes, Terrence Martin:
Multi-task Learning for Radar Signal Characterisation. CoRR abs/2306.13105 (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) - [c102]Philip Hawkins, Frédéric Maire, Simon Denman, Mahsa Baktashmotlagh:
Modular Construction Planning Using Graph Neural Network Heuristic Search. AI 2022: 228-239 - [c101]Osman Tursun, Simon Denman, Sridha Sridharan, Clinton Fookes:
SESS: Saliency Enhancing with Scaling and Sliding. ECCV (12) 2022: 318-333 - [c100]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 - [c99]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) - [c98]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 - [c97]Ruiqi Wang, Mohammad Ali Armin, Simon Denman, Lars Petersson, David Ahmedt-Aristizabal:
Towards Interpretable Attention Networks for Cervical Cancer Analysis. EMBC 2021: 3613-3616 - [c96]Osman Tursun, Simon Denman, Sridha Sridharan, Clinton Fookes:
Learning Regional Attention Over Multi-Resolution Deep Convolutional Features For Trademark Retrieval. ICIP 2021: 2393-2397 - [c95]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) - [c94]Rui Zeng, Zongyuan Ge, Simon Denman, Sridha Sridharan, Clinton Fookes:
Geometry-Constrained Car Recognition Using a 3D Perspective Network. AAAI 2020: 1161-1168 - [c93]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 - [c92]Michael Halstead, Simon Denman, Clinton Fookes, Chris McCool:
Fruit Detection in the Wild: The Impact of Varying Conditions and Cultivar. DICTA 2020: 1-8 - [c91]David Ahmedt-Aristizabal, Mohammad Ali Armin, Simon Denman, Clinton Fookes, Lars Petersson:
Attention Networks for Multi-Task Signal Analysis. EMBC 2020: 184-187 - [c90]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 - [c89]Darshana Priyasad, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Attention Driven Fusion for Multi-Modal Emotion Recognition. ICASSP 2020: 3227-3231 - [c88]Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes:
Two-Stream Deep Feature Modelling for Automated Video Endoscopy Data Analysis. MICCAI (3) 2020: 742-751 - [c87]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 - [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) - [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]