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2020 – today
- 2021
[j99]Akila Pemasiri, Kien Nguyen, Sridha Sridharan, Clinton Fookes:
Multi-modal semantic image segmentation. Comput. Vis. Image Underst. 202: 103085 (2021)- [j98]Darshana Priyasad, Tharindu Fernando, Simon Denman, Sridha Sridharan
, Clinton Fookes:
Memory based fusion for multi-modal deep learning. Inf. Fusion 67: 136-146 (2021) - [j97]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) - [j96]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) - [j95]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) - [i70]Akila Pemasiri, Kien Nguyen Thanh, Sridha Sridharan, Clinton Fookes:
Im2Mesh GAN: Accurate 3D Hand Mesh Recovery from a Single RGB Image. CoRR abs/2101.11239 (2021) - [i69]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) - 2020
- [j94]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) - [j93]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) - [j92]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) - [j91]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) - [j90]Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes:
Fine-grained action segmentation using the semi-supervised action GAN. Pattern Recognit. 98 (2020) - [j89]Mohammad Mahfujur Rahman, Clinton Fookes, Mahsa Baktashmotlagh, Sridha Sridharan:
Correlation-aware adversarial domain adaptation and generalization. Pattern Recognit. 100: 107124 (2020) - [j88]Kien Nguyen, Clinton Fookes, Sridha Sridharan:
Context from within: Hierarchical context modeling for semantic segmentation. Pattern Recognit. 105: 107358 (2020) - [j87]Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes:
Hierarchical Attention Network for Action Segmentation. Pattern Recognit. Lett. 131: 442-448 (2020) - [j86]Chanoh Park, Peyman Moghadam, Soohwan Kim, Sridha Sridharan, Clinton Fookes:
Spatiotemporal Camera-LiDAR Calibration: A Targetless and Structureless Approach. IEEE Robotics Autom. Lett. 5(2): 1556-1563 (2020) - [j85]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) - [j84]Thanikasalam Kokul, Clinton Fookes, Sridha Sridharan, Amirthalingam Ramanan, Amalka Pinidiyaarachchi:
Target-Specific Siamese Attention Network for Real-Time Object Tracking. IEEE Trans. Inf. Forensics Secur. 15: 1276-1289 (2020) - [j83]Kien Nguyen, Clinton Fookes, Sridha Sridharan:
Constrained Design of Deep Iris Networks. IEEE Trans. Image Process. 29: 7166-7175 (2020) - [j82]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) - [j81]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) - [c332]Rui Zeng, Zongyuan Ge, Simon Denman, Sridha Sridharan, Clinton Fookes:
Geometry-Constrained Car Recognition Using a 3D Perspective Network. AAAI 2020: 1161-1168 - [c331]Darshana Priyasad, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Attention Driven Fusion for Multi-Modal Emotion Recognition. ICASSP 2020: 3227-3231 - [c330]Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes:
Two-Stream Deep Feature Modelling for Automated Video Endoscopy Data Analysis. MICCAI (3) 2020: 742-751 - [c329]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 - [p5]Mohammad Mahfujur Rahman, Clinton Fookes, Mahsa Baktashmotlagh, Sridha Sridharan:
On Minimum Discrepancy Estimation for Deep Domain Adaptation. Domain Adaptation for Visual Understanding 2020: 81-94 - [i68]Chanoh Park, Peyman Moghadam, Soohwan Kim, Sridha Sridharan, Clinton Fookes:
Spatiotemporal Camera-LiDAR Calibration: A Targetless and Structureless Approach. CoRR abs/2001.06175 (2020) - [i67]Osman Tursun, Simon Denman, Sridha Sridharan, Clinton Fookes:
Enhancing Feature Invariance with Learned Image Transformations for Image Retrieval. CoRR abs/2002.01642 (2020) - [i66]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) - [i65]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) - [i64]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) - [i63]Dung Nguyen, Duc Thanh Nguyen, Rui Zeng, Thanh Thi Nguyen, Son N. Tran, Thin Nguyen, Sridha Sridharan, Clinton Fookes:
Deep Auto-Encoders with Sequential Learning for Multimodal Dimensional Emotion Recognition. CoRR abs/2004.13236 (2020) - [i62]Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes:
Hierarchical Attention Network for Action Segmentation. CoRR abs/2005.03209 (2020) - [i61]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) - [i60]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) - [i59]Dung Nguyen, Sridha Sridharan, Duc Thanh Nguyen, Simon Denman, David Dean, Clinton Fookes:
Meta Transfer Learning for Emotion Recognition. CoRR abs/2006.13211 (2020) - [i58]Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes:
Two-Stream Deep Feature Modelling for Automated Video Endoscopy Data Analysis. CoRR abs/2007.05914 (2020) - [i57]Darshana Priyasad, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Memory Based Attentive Fusion. CoRR abs/2007.08076 (2020) - [i56]Chanoh Park, Peyman Moghadam, Jason Williams, Soohwan Kim, Sridha Sridharan, Clinton Fookes:
Elasticity Meets Continuous-Time: Map-Centric Dense 3D LiDAR SLAM. CoRR abs/2008.02274 (2020) - [i55]Darshana Priyasad, Tharindu Fernando, Simon Denman, Clinton Fookes, Sridha Sridharan:
Attention Driven Fusion for Multi-Modal Emotion Recognition. CoRR abs/2009.10991 (2020) - [i54]Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes:
Multi-modal Fusion for Single-Stage Continuous Gesture Recognition. CoRR abs/2011.04945 (2020) - [i53]Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Fast & Slow Learning: Incorporating Synthetic Gradients in Neural Memory Controllers. CoRR abs/2011.05438 (2020) - [i52]Theekshana Dissanayake, Tharindu Fernando, Simon Denman, Houman Ghaemmaghami, Sridha Sridharan, Clinton Fookes:
Domain Generalization in Biosignal Classification. CoRR abs/2011.06207 (2020) - [i51]Theekshana Dissanayake, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Patient-independent Epileptic Seizure Prediction using Deep Learning Models. CoRR abs/2011.09581 (2020) - [i50]Kien Nguyen, Clinton Fookes, Sridha Sridharan, Arun Ross:
Complex-valued Iris Recognition Network. CoRR abs/2011.11198 (2020) - [i49]Kavisha Vidanapathirana, Peyman Moghadam, Ben Harwood, Muming Zhao, Sridha Sridharan, Clinton Fookes:
Locus: LiDAR-based Place Recognition using Spatiotemporal Higher-Order Pooling. CoRR abs/2011.14497 (2020) - [i48]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
- [j80]Ivan Himawan, Fernando Villavicencio, Sridha Sridharan, Clinton Fookes:
Deep domain adaptation for anti-spoofing in speaker verification systems. Comput. Speech Lang. 58: 377-402 (2019) - [j79]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) - [j78]Akila Pemasiri, Kien Nguyen Thanh, Sridha Sridharan, Clinton Fookes:
Sparse over-complete patch matching. Pattern Recognit. Lett. 122: 1-6 (2019) - [j77]Chanoh Park, Soohwan Kim, Peyman Moghadam, Jiadong Guo, Sridha Sridharan, Clinton Fookes:
Robust Photogeometric Localization Over Time for Map-Centric Loop Closure. IEEE Robotics Autom. Lett. 4(2): 1768-1775 (2019) - [j76]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) - [j75]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) - [c328]Akila Pemasiri, Kien Nguyen, Sridha Sridharan, Clinton Fookes:
Unified 2D and 3D Hand Pose Estimation from a Single Visible or X-ray Image. BMVC 2019: 13 - [c327]Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes:
Forecasting Future Action Sequences with Neural Memory Networks. BMVC 2019: 298 - [c326]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 - [c325]Md. Hafizur Rahman, Ivan Himawan, Sridha Sridharan, Clinton Fookes:
Investigating Domain Sensitivity of DNN Embeddings for Speaker Recognition Systems. ICASSP 2019: 5811-5815 - [c324]Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes:
Predicting the Future: A Jointly Learnt Model for Action Anticipation. ICCV 2019: 5561-5570 - [c323]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 - [c322]Osman Tursun, Rui Zeng, Simon Denman, Sabesan Sivapalan, Sridha Sridharan, Clinton Fookes:
MTRNet: A Generic Scene Text Eraser. ICDAR 2019: 39-44 - [c321]Ahilan Kanagasundaram, Sridha Sridharan, Sriram Ganapathy, Prachi Singh, Clinton Fookes:
A Study of x-Vector Based Speaker Recognition on Short Utterances. INTERSPEECH 2019: 2943-2947 - [c320]Akila Pemasiri, David Ahmedt-Aristizabal, Kien Nguyen, Sridha Sridharan, Sasha Dionisio, Clinton Fookes:
Semantic Segmentation Of Hands In Multimodal Images: A Region New-Based CNN Approach. ISBI 2019: 819-823 - [c319]Harshala Gammulle, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Coupled Generative Adversarial Network for Continuous Fine-Grained Action Segmentation. WACV 2019: 200-209 - [c318]Mohammad Mahfujur Rahman, Clinton Fookes, Mahsa Baktashmotlagh, Sridha Sridharan:
Multi-Component Image Translation for Deep Domain Generalization. WACV 2019: 579-588 - [c317]Akila Pemasiri, Kien Nguyen Thanh, Sridha Sridharan, Clinton Fookes:
Semantic Correspondence in the Wild. WACV 2019: 1137-1146 - [p4]Ivan Himawan, Srikanth R. Madikeri, Petr Motlícek, Milos Cernak, Sridha Sridharan, Clinton Fookes:
Voice Presentation Attack Detection Using Convolutional Neural Networks. Handbook of Biometric Anti-Spoofing, 2nd Ed. 2019: 391-415 - [i47]Mohammad Mahfujur Rahman, Clinton Fookes, Mahsa Baktashmotlagh, Sridha Sridharan:
On Minimum Discrepancy Estimation for Deep Domain Adaptation. CoRR abs/1901.00282 (2019) - [i46]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) - [i45]Chanoh Park, Soohwan Kim, Peyman Moghadam, Jiadong Guo, Sridha Sridharan, Clinton Fookes:
Robust Photogeometric Localization over Time for Map-Centric Loop Closure. CoRR abs/1901.07660 (2019) - [i44]Osman Tursun, Rui Zeng, Simon Denman, Sabesan Sivipalan, Sridha Sridharan, Clinton Fookes:
MTRNet: A Generic Scene Text Eraser. CoRR abs/1903.04092 (2019) - [i43]Rui Zeng, Zongyuan Ge, Simon Denman, Sridha Sridharan, Clinton Fookes:
Geometry-constrained Car Recognition Using a 3D Perspective Network. CoRR abs/1903.07916 (2019) - [i42]Kien Nguyen, Clinton Fookes, Sridha Sridharan:
Constrained Design of Deep Iris Networks. CoRR abs/1905.09481 (2019) - [i41]Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes:
Fine-grained Action Segmentation using the Semi-Supervised Action GAN. CoRR abs/1909.09269 (2019) - [i40]Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes:
Forecasting Future Action Sequences with Neural Memory Networks. CoRR abs/1909.09278 (2019) - [i39]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) - [i38]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) - [i37]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) - [i36]Mohammad Mahfujur Rahman, Clinton Fookes, Mahsa Baktashmotlagh, Sridha Sridharan:
Correlation-aware Adversarial Domain Adaptation and Generalization. CoRR abs/1911.12983 (2019) - [i35]Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes:
Predicting the Future: A Jointly Learnt Model for Action Anticipation. CoRR abs/1912.07148 (2019) - [i34]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
- [j74]Kien Nguyen Thanh, Clinton Fookes, Arun Ross, Sridha Sridharan:
Iris Recognition With Off-the-Shelf CNN Features: A Deep Learning Perspective. IEEE Access 6: 18848-18855 (2018) - [j73]Md. Hafizur Rahman, Ahilan Kanagasundaram, Ivan Himawan, David Dean, Sridha Sridharan:
Improving PLDA speaker verification performance using domain mismatch compensation techniques. Comput. Speech Lang. 47: 240-258 (2018) - [j72]Dung Nguyen Tien, Kien Nguyen, Sridha Sridharan, David Dean, Clinton Fookes:
Deep spatio-temporal feature fusion with compact bilinear pooling for multimodal emotion recognition. Comput. Vis. Image Underst. 174: 33-42 (2018) - [j71]Sarasi Munasinghe, Clinton Fookes, Sridha Sridharan:
Human-level face verification with intra-personal factor analysis and deep face representation. IET Biom. 7(5): 467-473 (2018) - [j70]Tharindu Fernando, Simon Denman, Aaron McFadyen, Sridha Sridharan, Clinton Fookes:
Tree Memory Networks for modelling long-term temporal dependencies. Neurocomputing 304: 64-81 (2018) - [j69]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) - [j68]Kien Nguyen Thanh, Clinton Fookes, Sridha Sridharan, Massimo Tistarelli, Mark S. Nixon:
Super-resolution for biometrics: A comprehensive survey. Pattern Recognit. 78: 23-42 (2018) - [j67]Long Sha, Patrick Lucey, Yisong Yue, Xinyu Wei, Jennifer A. Hobbs, Charlie Rohlf, Sridha Sridharan:
Interactive Sports Analytics: An Intelligent Interface for Utilizing Trajectories for Interactive Sports Play Retrieval and Analytics. ACM Trans. Comput. Hum. Interact. 25(2): 13:1-13:32 (2018) - [c316]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 - [c315]Dominic Jack, Jhony K. Pontes, Sridha Sridharan, Clinton Fookes, Sareh Shirazi, Frédéric Maire, Anders P. Eriksson:
Learning Free-Form Deformations for 3D Object Reconstruction. ACCV (2) 2018: 317-333 - [c314]Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes:
Multi-level Sequence GAN for Group Activity Recognition. ACCV (1) 2018: 331-346 - [c313]Jhony K. Pontes, Chen Kong, Sridha Sridharan, Simon Lucey, Anders P. Eriksson, Clinton Fookes:
Image2Mesh: A Learning Framework for Single Image 3D Reconstruction. ACCV (1) 2018: 365-381 - [c312]Rui Zeng, Simon Denman, Sridha Sridharan, Clinton Fookes:
Rethinking Planar Homography Estimation Using Perspective Fields. ACCV (6) 2018: 571-586 - [c311]Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Learning Temporal Strategic Relationships using Generative Adversarial Imitation Learning. AAMAS 2018: 113-121 - [c310]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 - [c309]Shafeeq Elanattil, Peyman Moghadam, Simon Denman, Sridha Sridharan, Clinton Fookes:
Skeleton Driven Non-Rigid Motion Tracking and 3D Reconstruction. DICTA 2018: 1-8 - [c308]David Ahmedt-Aristizabal, Clinton Fookes, Kien Nguyen, Sridha Sridharan:
Deep Classification of Epileptic Signals. EMBC 2018: 332-335 - [c307]David Ahmedt-Aristizabal, Kien Nguyen, Simon Denman, Sridha Sridharan, Sasha Dionisio, Clinton Fookes:
Deep Motion Analysis for Epileptic Seizure Classification. EMBC 2018: 3578-3581 - [c306]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 - [c305]Muhammad Iqbal Hasan Chowdhury, Kien Nguyen, Sridha Sridharan, Clinton Fookes:
Hierarchical Relational Attention for Video Question Answering. ICIP 2018: 599-603 - [c304]Thanikasalam Kokul, Clinton Fookes, Sridha Sridharan, Amirthalingam Ramanan, U. A. J. Pinidiyaarachchi:
Deep Match Tracker: Classifying when Dissimilar, Similarity Matching when Not. ICIP 2018: 2730-2734 - [c303]Shafeeq Elanattil, Peyman Moghadam, Sridha Sridharan, Clinton Fookes, Mark Cox:
Non-rigid Reconstruction with a Single Moving RGB-D Camera. ICPR 2018: 1049-1055 - [c302]Dung Nguyen Tien, Kien Nguyen, Sridha Sridharan, Iman Abbasnejad, David Dean, Clinton Fookes:
Meta Transfer Learning for Facial Emotion Recognition. ICPR 2018: 3543-3548 - [c301]Chanoh Park, Peyman Moghadam, Soohwan Kim, Alberto Elfes, Clinton Fookes, Sridha Sridharan:
Elastic LiDAR Fusion: Dense Map-Centric Continuous-Time SLAM. ICRA 2018: 1206-1213 - [c300]Md. Hafizur Rahman, Ivan Himawan, Mitchell McLaren, Clinton Fookes, Sridha Sridharan:
Employing Phonetic Information in DNN Speaker Embeddings to Improve Speaker Recognition Performance. INTERSPEECH 2018: 3593-3597 - [c299]Md. Hafizur Rahman, Ivan Himawan, David Dean, Clinton Fookes, Sridha Sridharan:
Domain-invariant I-vector Feature Extraction for PLDA Speaker Verification. Odyssey 2018: 155-161 - [c298]Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Pedestrian Trajectory Prediction with Structured Memory Hierarchies. ECML/PKDD (1) 2018: 241-256 - [c297]Ivan Himawan, Md. Hafizur Rahman, Sridha Sridharan, Clinton Fookes, Ahilan Kanagasundaram:
Investigating Deep Neural Networks for Speaker Diarization in the DIHARD Challenge. SLT 2018: 1029-1035 - [c296]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 - [c295]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 - [c294]Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Task Specific Visual Saliency Prediction with Memory Augmented Conditional Generative Adversarial Networks. WACV 2018: 1539-1548 - [i33]David Ahmedt-Aristizabal, Clinton Fookes, Kien Nguyen, Sridha Sridharan:
Deep Classification of Epileptic Signals. CoRR abs/1801.03610 (2018) - [i32]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) - [i31]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) - [i30]Dominic Jack, Jhony K. Pontes, Sridha Sridharan, Clinton Fookes, Sareh Shirazi, Frédéric Maire, Anders P. Eriksson:
Learning Free-Form Deformations for 3D Object Reconstruction. CoRR abs/1803.10932 (2018) - [i29]Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Learning Temporal Strategic Relationships using Generative Adversarial Imitation Learning. CoRR abs/1805.04969 (2018) - [i28]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) - [i27]Dung Nguyen Tien, Kien Nguyen, Sridha Sridharan, Iman Abbasnejad, David Dean, Clinton Fookes:
Meta Transfer Learning for Facial Emotion Recognition. CoRR abs/1805.09946 (2018) - [i26]Shafeeq Elanattil, Peyman Moghadam, Sridha Sridharan, Clinton Fookes, Mark Cox:
Non-rigid Reconstruction with a Single Moving RGB-D Camera. CoRR abs/1805.11219 (2018) - [i25]Akila Pemasiri, Kien Nguyen, Sridha Sridharan, Clinton Fookes:
Sparse Over-complete Patch Matching. CoRR abs/1806.03556 (2018) - [i24]