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ORCIDSridha Sridharan
Person information
Other persons with a similar name
- M. S. Ramanujan 0001
![[0000-0002-2116-6048]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-2116-6048")
(aka: Ramanujan Sridharan, Ramanujan Maadapuzhi Sridharan) — University of Warwick, Coventry, UK - Ashwin Sridharan
- Gokul Sridharan
- Karthik Sridharan — University at Buffalo, USA
- Manu Sridharan — IBM Thomas J. Watson Research Center, Yorktown Heights, USA
- Mohan Sridharan
- Mukundan Sridharan
- Vilas Sridharan
- K. Sridharan 0001 (aka: Krishnamurthy Sridharan) — Indian Institute of Technology Madras, Chennai, India (and 2 more)
- Srinivas Sridharan 0002 — Intel Corporation, Hillsboro, OR, USA (and 2 more)
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2020 – today
- 2024
[j127]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)- [j126]Joshua Knights, Stephen Hausler, Sridha Sridharan, Clinton Fookes, Peyman Moghadam:
GeoAdapt: Self-Supervised Test-Time Adaptation in LiDAR Place Recognition Using Geometric Priors. IEEE Robotics Autom. Lett. 9(1): 915-922 (2024) - [j125]Nhi Kieu, Kien Nguyen Thanh, Abdullah Nazib, Tharindu Fernando, Clinton Fookes, Sridha Sridharan:
Multimodal Colearning Meets Remote Sensing: Taxonomy, State of the Art, and Future Works. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 7386-7409 (2024) - [j124]Shaheer Mohamed, Maryam Haghighat, Tharindu Fernando, Sridha Sridharan, Clinton Fookes, Peyman Moghadam:
FactoFormer: Factorized Hyperspectral Transformers With Self-Supervised Pretraining. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j123]Huy Nguyen, Kien Nguyen Thanh, Sridha Sridharan, Clinton Fookes:
AG-ReID.v2: Bridging Aerial and Ground Views for Person Re-Identification. IEEE Trans. Inf. Forensics Secur. 19: 2896-2908 (2024) - [i100]Huy Nguyen, Kien Nguyen, Sridha Sridharan, Clinton Fookes:
AG-ReID.v2: Bridging Aerial and Ground Views for Person Re-identification. CoRR abs/2401.02634 (2024) - [i99]Osman Tursun, Sinan Kalkan, Simon Denman, Sridha Sridharan, Clinton Fookes:
Part-based Quantitative Analysis for Heatmaps. CoRR abs/2405.13264 (2024) - [i98]Sutharsan Mahendren, Saimunur Rahman, Piotr Koniusz, Tharindu Fernando, Sridha Sridharan, Clinton Fookes, Peyman Moghadam:
PseudoNeg-MAE: Self-Supervised Point Cloud Learning using Conditional Pseudo-Negative Embeddings. CoRR abs/2409.15832 (2024) - [i97]Chinthaka Ranasingha, Harshala Gammulle, Tharindu Fernando, Sridha Sridharan, Clinton Fookes:
Physics Augmented Tuple Transformer for Autism Severity Level Detection. CoRR abs/2409.18438 (2024) - [i96]Huy Nguyen, Kien Nguyen, Akila Pemasiri, Sridha Sridharan, Clinton Fookes:
Revisiting the Role of Texture in 3D Person Re-identification. CoRR abs/2410.00348 (2024) - 2023
- [j122]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) - [j121]Kien Nguyen, Clinton Fookes, Sridha Sridharan, Arun Ross:
Complex-Valued Iris Recognition Network. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 182-196 (2023) - [j120]Amena Khatun, Simon Denman, Sridha Sridharan, Clinton Fookes:
Pose-driven attention-guided image generation for person re-Identification. Pattern Recognit. 137: 109246 (2023) - [j119]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) - [j118]Kavisha Vidanapathirana, Peyman Moghadam, Sridha Sridharan, Clinton Fookes:
Spectral Geometric Verification: Re-Ranking Point Cloud Retrieval for Metric Localization. IEEE Robotics Autom. Lett. 8(5): 2494-2501 (2023) - [j117]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) - [j116]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) - [c346]Kien Nguyen, Clinton Fookes, Sridha Sridharan, Feng Liu, Xiaoming Liu, Arun Ross, Dana Michalski, Huy Nguyen, Debayan Deb, Mahak Kothari, Manisha Saini, Dawei Du, Scott McCloskey, Gabriel Bertocco, Fernanda A. Andaló, Terrance E. Boult, Anderson Rocha, Haidong Zhu, Zhaoheng Zheng, Ram Nevatia, Zaigham A. Randhawa, Sinan Sabri, Gianfranco Doretto:
AG-ReID 2023: Aerial-Ground Person Re-identification Challenge Results. IJCB 2023: 1-10 - [c345]Huy Nguyen, Kien Nguyen, Sridha Sridharan, Clinton Fookes:
Aerial-Ground Person Re-ID. ICME 2023: 2585-2590 - [c344]Joshua Knights, Kavisha Vidanapathirana, Milad Ramezani, Sridha Sridharan, Clinton Fookes, Peyman Moghadam:
Wild-Places: A Large-Scale Dataset for Lidar Place Recognition in Unstructured Natural Environments. ICRA 2023: 11322-11328 - [c343]Darshana Prisayad, Tharindu Fernando, Sridha Sridharan, Simon Denman, Clinton Fookes:
Dual Memory Fusion for Multimodal Speech Emotion Recognition. INTERSPEECH 2023: 4543-4547 - [i95]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) - [i94]Kien Nguyen Thanh, Tharindu Fernando, Clinton Fookes, Sridha Sridharan:
Physical Adversarial Attacks for Surveillance: A Survey. CoRR abs/2305.01074 (2023) - [i93]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) - [i92]Nhi Kieu, Kien Nguyen, Sridha Sridharan, Clinton Fookes:
General-Purpose Multimodal Transformer meets Remote Sensing Semantic Segmentation. CoRR abs/2307.03388 (2023) - [i91]Joshua Knights, Stephen Hausler, Sridha Sridharan, Clinton Fookes, Peyman Moghadam:
GeoAdapt: Self-Supervised Test-Time Adaption in LiDAR Place Recognition Using Geometric Priors. CoRR abs/2308.04638 (2023) - [i90]Harshala Gammulle, Yubo Chen, Sridha Sridharan, Travis Klein, Clinton Fookes:
Learning Through Guidance: Knowledge Distillation for Endoscopic Image Classification. CoRR abs/2308.08731 (2023) - [i89]Shaheer Mohamed, Maryam Haghighat, Tharindu Fernando, Sridha Sridharan, Clinton Fookes, Peyman Moghadam:
FactoFormer: Factorized Hyperspectral Transformers with Self-Supervised Pre-Training. CoRR abs/2309.09431 (2023) - [i88]Kavisha Vidanapathirana, Joshua Knights, Stephen Hausler, Mark Cox, Milad Ramezani, Jason Jooste, Ethan Griffiths, Shaheer Mohamed, Sridha Sridharan, Clinton Fookes, Peyman Moghadam:
WildScenes: A Benchmark for 2D and 3D Semantic Segmentation in Large-scale Natural Environments. CoRR abs/2312.15364 (2023) - 2022
- [j115]Ivan Himawan, Ruizhe Wang, Sridha Sridharan, Clinton Fookes:
Jointly Trained Conversion Model With LPCNet for Any-to-One Voice Conversion Using Speaker-Independent Linguistic Features. IEEE Access 10: 134029-134037 (2022) - [j114]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) - [j113]Osman Tursun, Simon Denman, Sridha Sridharan, Clinton Fookes:
Learning test-time augmentation for content-based image retrieval. Comput. Vis. Image Underst. 222: 103494 (2022) - [j112]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) - [j111]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) - [j110]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) - [j109]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) - [j108]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) - [j107]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) - [j106]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) - [j105]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. IEEE Trans. Multim. 24: 1313-1324 (2022) - [j104]Chanoh Park, Peyman Moghadam, Jason L. Williams, Soohwan Kim, Sridha Sridharan, Clinton Fookes:
Elasticity Meets Continuous-Time: Map-Centric Dense 3D LiDAR SLAM. IEEE Trans. Robotics 38(2): 978-997 (2022) - [c342]Osman Tursun, Simon Denman, Sridha Sridharan, Clinton Fookes:
SESS: Saliency Enhancing with Scaling and Sliding. ECCV (12) 2022: 318-333 - [c341]Kavisha Vidanapathirana, Milad Ramezani, Peyman Moghadam, Sridha Sridharan, Clinton Fookes:
LoGG3D-Net: Locally Guided Global Descriptor Learning for 3D Place Recognition. ICRA 2022: 2215-2221 - [c340]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 - [c339]Joshua Knights, Peyman Moghadam, Milad Ramezani, Sridha Sridharan, Clinton Fookes:
InCloud: Incremental Learning for Point Cloud Place Recognition. IROS 2022: 8559-8566 - [i87]Kien Nguyen Thanh, Clinton Fookes, Sridha Sridharan, Yingli Tian, Feng Liu, Xiaoming Liu, Arun Ross:
The State of Aerial Surveillance: A Survey. CoRR abs/2201.03080 (2022) - [i86]Joshua Knights, Peyman Moghadam, Milad Ramezani, Sridha Sridharan, Clinton Fookes:
InCloud: Incremental Learning for Point Cloud Place Recognition. CoRR abs/2203.00807 (2022) - [i85]Tharindu Fernando, Clinton Fookes, Harshala Gammulle, Simon Denman, Sridha Sridharan:
Towards On-Board Panoptic Segmentation of Multispectral Satellite Images. CoRR abs/2204.01952 (2022) - [i84]Osman Tursun, Simon Denman, Sridha Sridharan, Clinton Fookes:
SESS: Saliency Enhancing with Scaling and Sliding. CoRR abs/2207.01769 (2022) - [i83]Kavisha Vidanapathirana, Peyman Moghadam, Sridha Sridharan, Clinton Fookes:
Spectral Geometric Verification: Re-Ranking Point Cloud Retrieval for Metric Localization. CoRR abs/2210.04432 (2022) - [i82]Tharindu Fernando, Clinton Fookes, Sridha Sridharan, Dana Michalski:
Using Auxiliary Information for Person Re-Identification - A Tutorial Overview. CoRR abs/2211.08565 (2022) - [i81]Joshua Knights, Kavisha Vidanapathirana, Milad Ramezani, Sridha Sridharan, Clinton Fookes, Peyman Moghadam:
Wild-Places: A Large-Scale Dataset for Lidar Place Recognition in Unstructured Natural Environments. CoRR abs/2211.12732 (2022) - 2021
- [j103]Akila Pemasiri, Kien Nguyen, Sridha Sridharan, Clinton Fookes:
Multi-modal semantic image segmentation. Comput. Vis. Image Underst. 202: 103085 (2021) - [j102]Darshana Priyasad, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Memory based fusion for multi-modal deep learning. Inf. Fusion 67: 136-146 (2021) - [j101]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) - [j100]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) - [j99]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) - [j98]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) - [j97]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) - [j96]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) - [j95]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) - [c338]Sutharsan Mahendren, Tharindu Fernando, Sridha Sridharan, Peyman Moghadam, Clinton Fookes:
Reduction of Feature Contamination for Hyper Spectral Image Classification. DICTA 2021: 1-8 - [c337]Osman Tursun, Simon Denman, Sridha Sridharan, Clinton Fookes:
Learning Regional Attention Over Multi-Resolution Deep Convolutional Features For Trademark Retrieval. ICIP 2021: 2393-2397 - [c336]Kavisha Vidanapathirana, Peyman Moghadam, Ben Harwood, Muming Zhao, Sridha Sridharan, Clinton Fookes:
Locus: LiDAR-based Place Recognition using Spatiotemporal Higher-Order Pooling. ICRA 2021: 5075-5081 - [c335]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 - [i80]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) - [i79]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) - [i78]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) - [i77]Mohammad Mahfujur Rahman, Clinton Fookes, Sridha Sridharan:
Deep Domain Generalization with Feature-norm Network. CoRR abs/2104.13581 (2021) - [i76]Mohammad Mahfujur Rahman, Clinton Fookes, Sridha Sridharan:
Preserving Semantic Consistency in Unsupervised Domain Adaptation Using Generative Adversarial Networks. CoRR abs/2104.13725 (2021) - [i75]Amena Khatun, Simon Denman, Sridha Sridharan, Clinton Fookes:
Pose-driven Attention-guided Image Generation for Person Re-Identification. CoRR abs/2104.13773 (2021) - [i74]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) - [i73]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) - [i72]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) - [i71]Mohammad Mahfujur Rahman, Clinton Fookes, Sridha Sridharan:
Discriminative Domain-Invariant Adversarial Network for Deep Domain Generalization. CoRR abs/2108.08995 (2021) - [i70]Kavisha Vidanapathirana, Milad Ramezani, Peyman Moghadam, Sridha Sridharan, Clinton Fookes:
LoGG3D-Net: Locally Guided Global Descriptor Learning for 3D Place Recognition. CoRR abs/2109.08336 (2021) - [i69]Joshua Knights, Peyman Moghadam, Clinton Fookes, Sridha Sridharan:
Point Cloud Segmentation Using Sparse Temporal Local Attention. CoRR abs/2112.00289 (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) - [c334]Rui Zeng, Zongyuan Ge, Simon Denman, Sridha Sridharan, Clinton Fookes:
Geometry-Constrained Car Recognition Using a 3D Perspective Network. AAAI 2020: 1161-1168 - [c333]Darshana Priyasad, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Attention Driven Fusion for Multi-Modal Emotion Recognition. ICASSP 2020: 3227-3231 - [c332]Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes:
Two-Stream Deep Feature Modelling for Automated Video Endoscopy Data Analysis. MICCAI (3) 2020: 742-751 - [c331]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 L. 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) - [c330]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 - [c329]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 - [c328]Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes:
Forecasting Future Action Sequences with Neural Memory Networks. BMVC 2019: 298 - [c327]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 - [c326]Md. Hafizur Rahman, Ivan Himawan, Sridha Sridharan, Clinton Fookes:
Investigating Domain Sensitivity of DNN Embeddings for Speaker Recognition Systems. ICASSP 2019: 5811-5815 - [c325]Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes:
Predicting the Future: A Jointly Learnt Model for Action Anticipation. ICCV 2019: 5561-5570 - [c324]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 - [c323]Osman Tursun, Rui Zeng, Simon Denman, Sabesan Sivapalan, Sridha Sridharan, Clinton Fookes:
MTRNet: A Generic Scene Text Eraser. ICDAR 2019: 39-44 - [c322]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 - [c321]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 - [c320]Harshala Gammulle, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Coupled Generative Adversarial Network for Continuous Fine-Grained Action Segmentation. WACV 2019: 200-209 - [c319]Mohammad Mahfujur Rahman, Clinton Fookes, Mahsa Baktashmotlagh, Sridha Sridharan:
Multi-Component Image Translation for Deep Domain Generalization. WACV 2019: 579-588 - [c318]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) - [c317]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 - [c316]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 - [c315]Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes:
Multi-level Sequence GAN for Group Activity Recognition. ACCV (1) 2018: 331-346 - [c314]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 - [c313]Rui Zeng, Simon Denman, Sridha Sridharan, Clinton Fookes:
Rethinking Planar Homography Estimation Using Perspective Fields. ACCV (6) 2018: 571-586 - [c312]Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Learning Temporal Strategic Relationships using Generative Adversarial Imitation Learning. AAMAS 2018: 113-121 - [c311]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 - [c310]Shafeeq Elanattil, Peyman Moghadam, Simon Denman, Sridha Sridharan, Clinton Fookes:
Skeleton Driven Non-Rigid Motion Tracking and 3D Reconstruction. DICTA 2018: 1-8 - [c309]David Ahmedt-Aristizabal, Clinton Fookes, Kien Nguyen, Sridha Sridharan:
Deep Classification of Epileptic Signals. EMBC 2018: 332-335 - [c308]David Ahmedt-Aristizabal, Kien Nguyen, Simon Denman, Sridha Sridharan, Sasha Dionisio, Clinton Fookes:
Deep Motion Analysis for Epileptic Seizure Classification. EMBC 2018: 3578-3581 - [c307]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 - [c306]Muhammad Iqbal Hasan Chowdhury, Kien Nguyen, Sridha Sridharan, Clinton Fookes:
Hierarchical Relational Attention for Video Question Answering. ICIP 2018: 599-603 - [c305]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 - [c304]Shafeeq Elanattil, Peyman Moghadam, Sridha Sridharan, Clinton Fookes, Mark Cox:
Non-rigid Reconstruction with a Single Moving RGB-D Camera. ICPR 2018: 1049-1055 - [c303]Dung Nguyen Tien, Kien Nguyen, Sridha Sridharan, Iman Abbasnejad, David Dean, Clinton Fookes:
Meta Transfer Learning for Facial Emotion Recognition. ICPR 2018: 3543-3548 - [c302]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 - [c301]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 - [c300]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 - [c299]Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Pedestrian Trajectory Prediction with Structured Memory Hierarchies. ECML/PKDD (1) 2018: 241-256 - [c298]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 - [c297]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 - [c296]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 - [c295]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]Akila Pemasiri, Kien Nguyen, Sridha Sridharan, Clinton Fookes:
Semantic Correspondence: A Hierarchical Approach. CoRR abs/1806.03560 (2018) - [i23]Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Pedestrian Trajectory Prediction with Structured Memory Hierarchies. CoRR abs/1807.08381 (2018) - [i22]Shafeeq Elanattil, Peyman Moghadam, Simon Denman, Sridha Sridharan, Clinton Fookes:
Skeleton Driven Non-rigid Motion Tracking and 3D Reconstruction. CoRR abs/1810.03774 (2018) - [i21]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) - [i20]Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes:
Multi-Level Sequence GAN for Group Activity Recognition. CoRR abs/1812.07124 (2018) - [i19]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) - [i18]Mohammad Mahfujur Rahman, Clinton Fookes, Mahsa Baktashmotlagh, Sridha Sridharan:
Multi-component Image Translation for Deep Domain Generalization. CoRR abs/1812.08974 (2018) - [i17]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
- [j66]Shahram Kalantari, David Dean, Sridha Sridharan:
Cross database audio visual speech adaptation for phonetic spoken term detection. Comput. Speech Lang. 44: 1-21 (2017) - [j65]Soudeh Kasiri Bidhendi, Clinton Fookes, Sridha Sridharan, Stuart Morgan:
Fine-grained action recognition of boxing punches from depth imagery. Comput. Vis. Image Underst. 159: 143-153 (2017) - [j64]Ahilan Kanagasundaram, David Dean, Sridha Sridharan, Houman Ghaemmaghami, Clinton Fookes:
A study on the effects of using short utterance length development data in the design of GPLDA speaker verification systems. Int. J. Speech Technol. 20(2): 247-259 (2017) - [j63]Kien Nguyen Thanh, Clinton Fookes, Raghavender R. Jillela, Sridha Sridharan, Arun Ross:
Long range iris recognition: A survey. Pattern Recognit. 72: 123-143 (2017) - [c294]Jhony Kaesemodel Pontes, Chen Kong, Anders P. Eriksson, Clinton Fookes, Sridha Sridharan, Simon Lucey:
Compact Model Representation for 3D Reconstruction. 3DV 2017: 88-96 - [c293]Ashton Fagg, Simon Lucey, Sridha Sridharan:
Fast, Dense Feature SDM on an iPhone. FG 2017: 95-102 - [c292]Sarasi Munasinghe, Clinton Fookes, Sridha Sridharan:
Deep features-based expression-invariant tied factor analysis for emotion recognition. IJCB 2017: 546-554 - [c291]Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Going Deeper: Autonomous Steering with Neural Memory Networks. ICCV Workshops 2017: 214-221 - [c290]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 - [c289]Chanoh Park, Soohwan Kim, Peyman Moghadam, Clinton Fookes, Sridha Sridharan:
Probabilistic Surfel Fusion for Dense LiDAR Mapping. ICCV Workshops 2017: 2418-2426 - [c288]Sarasi Kankanamge, Clinton Fookes, Sridha Sridharan:
Facial analysis in the wild with LSTM networks. ICIP 2017: 1052-1056 - [c287]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 - [c286]Iqbal Chowdhury, Kien Nguyen, Clinton Fookes, Sridha Sridharan:
A cascaded long short-term memory (LSTM) driven generic visual question answering (VQA). ICIP 2017: 1842-1846 - [c285]Thanikasalam Kokul, Clinton Fookes, Sridha Sridharan, Amirthalingam Ramanan, U. A. J. Pinidiyaarachchi:
Gate connected convolutional neural network for object tracking. ICIP 2017: 2602-2606 - [c284]Xufeng Guo, Kien Nguyen, Simon Denman, Clinton Fookes, Sridha Sridharan:
Single image depth prediction using super-column super-pixel features. ICIP 2017: 2657-2661 - [c283]Md. Hafizur Rahman, Ivan Himawan, David Dean, Sridha Sridharan:
Domain Mismatch Modeling of Out-Domain i-Vectors for PLDA Speaker Verification. INTERSPEECH 2017: 1581-1585 - [c282]Kien Nguyen Thanh, Clinton Fookes, Sridha Sridharan:
Deep Context Modeling for Semantic Segmentation. WACV 2017: 56-63 - [c281]Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes:
Two Stream LSTM: A Deep Fusion Framework for Human Action Recognition. WACV 2017: 177-186 - [c280]Iman Abbasnejad, Sridha Sridharan, Simon Denman, Clinton Fookes, Simon Lucey:
From Affine Rank Minimization Solution to Sparse Modeling. WACV 2017: 501-509 - [c279]Dung Nguyen Tien, Kien Nguyen Thanh, Sridha Sridharan, Afsane Ghasemi, David Dean, Clinton Fookes:
Deep Spatio-Temporal Features for Multimodal Emotion Recognition. WACV 2017: 1215-1223 - [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 - [i16]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) - [i15]Tharindu Fernando, Simon Denman, Aaron McFadyen, Sridha Sridharan, Clinton Fookes:
Tree Memory Networks for Modelling Long-term Temporal Dependencies. CoRR abs/1703.04706 (2017) - [i14]Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes:
Two Stream LSTM: A Deep Fusion Framework for Human Action Recognition. CoRR abs/1704.01194 (2017) - [i13]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) - [i12]Jhony K. Pontes, Chen Kong, Anders P. Eriksson, Clinton Fookes, Sridha Sridharan, Simon Lucey:
Compact Model Representation for 3D Reconstruction. CoRR abs/1707.07360 (2017) - [i11]Chanoh Park, Soohwan Kim, Peyman Moghadam, Clinton Fookes, Sridha Sridharan:
Probabilistic Surfel Fusion for Dense LiDAR Mapping. CoRR abs/1709.01265 (2017) - [i10]Long Sha, Patrick Lucey, Stephan Zheng, Taehwan Kim, Yisong Yue, Sridha Sridharan:
Fine-Grained Retrieval of Sports Plays using Tree-Based Alignment of Trajectories. CoRR abs/1710.02255 (2017) - [i9]Chanoh Park, Peyman Moghadam, Soohwan Kim, Alberto Elfes, Clinton Fookes, Sridha Sridharan:
Elastic LiDAR Fusion: Dense Map-Centric Continuous-Time SLAM. CoRR abs/1711.01691 (2017) - [i8]Jhony K. Pontes, Chen Kong, Sridha Sridharan, Simon Lucey, Anders P. Eriksson, Clinton Fookes:
Image2Mesh: A Learning Framework for Single Image 3D Reconstruction. CoRR abs/1711.10669 (2017) - 2016
- [j62]Houman Ghaemmaghami, David Dean, Sridha Sridharan, David A. van Leeuwen:
A study of speaker clustering for speaker attribution in large telephone conversation datasets. Comput. Speech Lang. 40: 23-45 (2016) - [j61]Junbin Liu, Sridha Sridharan, Clinton Fookes:
Recent Advances in Camera Planning for Large Area Surveillance: A Comprehensive Review. ACM Comput. Surv. 49(1): 6:1-6:37 (2016) - [j60]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) - [j59]Ivan Himawan, Petr Motlícek, David Imseng, Sridha Sridharan:
Feature mapping using far-field microphones for distant speech recognition. Speech Commun. 83: 1-9 (2016) - [j58]Alina Bialkowski, Patrick Lucey, Peter Carr, Iain A. Matthews, Sridha Sridharan, Clinton Fookes:
Discovering Team Structures in Soccer from Spatiotemporal Data. IEEE Trans. Knowl. Data Eng. 28(10): 2596-2605 (2016) - [j57]Xinyu Wei, Patrick Lucey, Stuart Morgan, Sridha Sridharan:
Forecasting the Next Shot Location in Tennis Using Fine-Grained Spatiotemporal Tracking Data. IEEE Trans. Knowl. Data Eng. 28(11): 2988-2997 (2016) - [c278]Iman Abbasnejad, Sridha Sridharan, Simon Denman, Clinton Fookes, Simon Lucey:
Complex Event Detection Using Joint Max Margin and Semantic Features. DICTA 2016: 1-8 - [c277]Rui Zeng, Ruan Lakemond, Simon Denman, Sridha Sridharan, Clinton Fookes, Stuart Morgan:
Vertical Axis Detection for Sport Video Analytics. DICTA 2016: 1-7 - [c276]Kien Nguyen Thanh, Clinton Fookes, Sridha Sridharan:
Deeper and wider fully convolutional network coupled with conditional random fields for scene labeling. ICIP 2016: 1344-1348 - [c275]Xufeng Guo, Simon Denman, Clinton Fookes, Sridha Sridharan:
A robust UAV landing site detection system using mid-level discriminative patches. ICPR 2016: 1659-1664 - [c274]Houman Ghaemmaghami, Md. Hafizur Rahman, Ivan Himawan, David Dean, Ahilan Kanagasundaram, Sridha Sridharan, Clinton Fookes:
Speakers In The Wild (SITW): The QUT Speaker Recognition System. INTERSPEECH 2016: 838-842 - [c273]Ahilan Kanagasundaram, David Dean, Sridha Sridharan, Clinton Fookes, Ivan Himawan:
Short Utterance Variance Modelling and Utterance Partitioning for PLDA Speaker Verification. INTERSPEECH 2016: 1835-1838 - [c272]Afsaneh Ghasemi, Simon Denman, Sridha Sridharan, Clinton Fookes:
Discovery of facial motions using deep machine perception. WACV 2016: 1-7 - [i7]Ahilan Kanagasundaram, David Dean, Sridha Sridharan, Clinton Fookes:
Domain adaptation based Speaker Recognition on Short Utterances. CoRR abs/1610.02831 (2016) - [i6]Ahilan Kanagasundaram, David Dean, Sridha Sridharan, Clinton Fookes:
DNN based Speaker Recognition on Short Utterances. CoRR abs/1610.03190 (2016) - [i5]Ahilan Kanagasundaram, David Dean, Sridha Sridharan, Clinton Fookes:
Improving Short Utterance PLDA Speaker Verification using SUV Modelling and Utterance Partitioning Approach. CoRR abs/1610.04965 (2016) - [i4]Jingxin Xu, Clinton Fookes, Sridha Sridharan:
Automatic Event Detection for Signal-based Surveillance. CoRR abs/1612.01611 (2016) - [i3]Ashton Fagg, Simon Lucey, Sridha Sridharan:
Fast, Dense Feature SDM on an iPhone. CoRR abs/1612.05332 (2016) - 2015
- [j56]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) - [j55]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) - [j54]Simon Denman, Michael Halstead, Clinton Fookes, Sridha Sridharan:
Searching for people using semantic soft biometric descriptions. Pattern Recognit. Lett. 68: 306-315 (2015) - [j53]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) - [j52]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) - [c271]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 - [c270]Iman Abbasnejad, Sridha Sridharan, Simon Denman, Clinton Fookes, Simon Lucey:
Learning Temporal Alignment Uncertainty for Efficient Event Detection. DICTA 2015: 1-8 - [c269]Kaneswaran Anantharajah, Simon Denman, Dian Tjondronegoro, Sridha Sridharan, Clinton Fookes:
Robust Automatic Face Clustering in News Video. DICTA 2015: 1-8 - [c268]Jack Valmadre, Sridha Sridharan, Simon Denman, Clinton Fookes, Simon Lucey:
Closed-Form Solutions for Low-Rank Non-Rigid Reconstruction. DICTA 2015: 1-6 - [c267]Jingxin Xu, Simon Denman, Clinton Fookes, Sridha Sridharan:
Detecting rare events using Kullback-Leibler divergence. ICASSP 2015: 1305-1309 - [c266]Simon Denman, Michael Halstead, Clinton Fookes, Sridha Sridharan:
Searching for semantic person queries using channel representations. ICASSP 2015: 1568-1572 - [c265]Ahilan Kanagasundaram, David Dean, Sridha Sridharan:
Improving out-domain PLDA speaker verification using unsupervised inter-dataset variability compensation approach. ICASSP 2015: 4654-4658 - [c264]Houman Ghaemmaghami, David Dean, Sridha Sridharan:
A cluster-voting approach for speaker diarization and linking of Australian broadcast news recordings. ICASSP 2015: 4829-4833 - [c263]Xinyu Wei, Long Sha, Patrick Lucey, Peter Carr, Sridha Sridharan, Iain A. Matthews:
Predicting Ball Ownership in Basketball from a Monocular View Using Only Player Trajectories. ICCV Workshops 2015: 780-787 - [c262]Kien Nguyen Thanh, Clinton Fookes, Sridha Sridharan:
Improving deep convolutional neural networks with unsupervised feature learning. ICIP 2015: 2270-2274 - [c261]Soudeh Kasiri Bidhendi, Clinton Fookes, Stuart Morgan, David T. Martin, Sridha Sridharan:
Combat sports analytics: Boxing punch classification using overhead depthimagery. ICIP 2015: 4545-4549 - [c260]Sabanadesan Umakanthan, Simon Denman, Clinton Fookes, Sridha Sridharan:
Class-specific sparse codes for representing activities. ICIP 2015: 4902-4906 - [c259]Shahram Kalantari, David Dean, Houman Ghaemmaghami, Sridha Sridharan, Clinton Fookes:
Cross database training of audio-visual hidden Markov models for phone recognition. INTERSPEECH 2015: 553-557 - [c258]Shahram Kalantari, David Dean, Sridha Sridharan:
Incorporating visual information for spoken term detection. INTERSPEECH 2015: 558-562 - [c257]Ivan Himawan, Petr Motlícek, Sridha Sridharan, David Dean, Dian Tjondronegoro:
Channel selection in the short-time modulation domain for distant speech recognition. INTERSPEECH 2015: 741-745 - [c256]Md. Hafizur Rahman, Ahilan Kanagasundaram, David Dean, Sridha Sridharan:
Dataset-invariant covariance normalization for out-domain PLDA speaker verification. INTERSPEECH 2015: 1017-1021 - [c255]Houman Ghaemmaghami, David Dean, Shahram Kalantari, Sridha Sridharan, Clinton Fookes:
Complete-linkage clustering for voice activity detection in audio and visual speech. INTERSPEECH 2015: 2292-2296 - [c254]Md. Hafizur Rahman, David Dean, Ahilan Kanagasundaram, Sridha Sridharan:
Investigating in-domain data requirements for PLDA training. INTERSPEECH 2015: 2322-2326 - [c253]Ahilan Kanagasundaram, David Dean, Sridha Sridharan:
Improving PLDA speaker verification using WMFD and linear-weighted approaches in limited microphone data conditions. INTERSPEECH 2015: 2332-2336 - [c252]David Dean, Ahilan Kanagasundaram, Houman Ghaemmaghami, Md. Hafizur Rahman, Sridha Sridharan:
The QUT-NOISE-SRE protocol for the evaluation of noisy speaker recognition. INTERSPEECH 2015: 3456-3460 - [c251]Xinyu Wei, Patrick Lucey, Stuart Morgan, Peter Carr, Machar Reid, Sridha Sridharan:
Predicting Serves in Tennis using Style Priors. KDD 2015: 2207-2215 - [c250]Shahram Kalantari, David Dean, Sridha Sridharan, Houman Ghaemmaghami, Clinton Fookes:
Acoustic Adaptation in Cross Database Audio Visual SHMM Training for Phonetic Spoken Term Detection. SLAM@ACM Multimedia 2015: 11-14 - [i2]Iman Abbasnejad, Sridha Sridharan, Simon Denman, Clinton Fookes, Simon Lucey:
Learning Temporal Alignment Uncertainty for Efficient Event Detection. CoRR abs/1509.01343 (2015) - 2014
- [j51]Ahilan Kanagasundaram, David Dean, Sridha Sridharan, Mitchell McLaren, Robbie Vogt:
I-vector based speaker recognition using advanced channel compensation techniques. Comput. Speech Lang. 28(1): 121-140 (2014) - [j50]David Ryan, Simon Denman, Clinton Fookes, Sridha Sridharan:
Scene invariant multi camera crowd counting. Pattern Recognit. Lett. 44: 98-112 (2014) - [j49]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) - [j48]Ahilan Kanagasundaram, David Dean, Sridha Sridharan, Javier Gonzalez-Dominguez, Joaquín González-Rodríguez, Daniel Ramos:
Improving short utterance i-vector speaker verification using utterance variance modelling and compensation techniques. Speech Commun. 59: 69-82 (2014) - [j47]Junbin Liu, Sridha Sridharan, Clinton Fookes, Tim Wark:
Optimal Camera Planning Under Versatile User Constraints in Multi-Camera Image Processing Systems. IEEE Trans. Image Process. 23(1): 171-184 (2014) - [c249]Ashton Fagg, Sridha Sridharan, Simon Lucey:
Unsupervised Temporal Ensemble Alignment for Rapid Annotation. ACCV Workshops (1) 2014: 71-84 - [c248]Jack Valmadre, Sridha Sridharan, Simon Lucey:
Learning Detectors Quickly with Stationary Statistics. ACCV (1) 2014: 99-114 - [c247]Xinyu Wei, Patrick Lucey, Stephen Vidas, Stuart Morgan, Sridha Sridharan:
Forecasting Events Using an Augmented Hidden Conditional Random Field. ACCV (4) 2014: 569-582 - [c246]Hajananth Nallaivarothayan, Clinton Fookes, Simon Denman, Sridha Sridharan:
An MRF based abnormal event detection approach using motion and appearance features. AVSS 2014: 343-348 - [c245]Xufeng Guo, Simon Denman, Clinton Fookes, Luis Mejías, Sridha Sridharan:
Automatic UAV Forced Landing Site Detection Using Machine Learning. DICTA 2014: 1-7 - [c244]Sabanadesan Umakanthan, Simon Denman, Clinton Fookes, Sridha Sridharan:
Supervised Latent Dirichlet Allocation Models for Efficient Activity Representation. DICTA 2014: 1-6 - [c243]Shahram Kalantari, David Dean, Sridha Sridharan, Roy Wallace:
Topic dependent language modelling for spoken term detection. EUSIPCO 2014: 949-953 - [c242]Houman Ghaemmaghami, David Dean, Sridha Sridharan:
A speaker rediarization scheme for improving diarization in large two-speaker telephone datasets. EUSIPCO 2014: 1272-1276 - [c241]Ahilan Kanagasundaram, David Dean, Sridha Sridharan:
Improving PLDA speaker verification with limited development data. ICASSP 2014: 1665-1669 - [c240]Alina Bialkowski, Patrick Lucey, Peter Carr, Yisong Yue, Sridha Sridharan, Iain A. Matthews:
Identifying Team Style in Soccer Using Formations Learned from Spatiotemporal Tracking Data. ICDM Workshops 2014: 9-14 - [c239]Alina Bialkowski, Patrick Lucey, Peter Carr, Yisong Yue, Sridha Sridharan, Iain A. Matthews:
Large-Scale Analysis of Soccer Matches Using Spatiotemporal Tracking Data. ICDM 2014: 725-730 - [c238]Sabanadesan Umakanthan, Simon Denman, Clinton Fookes, Sridha Sridharan:
Multiple Instance Dictionary Learning for Activity Representation. ICPR 2014: 1377-1382 - [c237]Michael Halstead, Simon Denman, Sridha Sridharan, Clinton Fookes:
Locating People in Video from Semantic Descriptions: A New Database and Approach. ICPR 2014: 4501-4506 - [c236]Houman Ghaemmaghami, David Dean, Sridha Sridharan:
An iterative speaker re-diarization scheme for improving speaker-based entity extraction in multimedia archives. INTERSPEECH 2014: 577-581 - [c235]Simon Denman, David Dean, Clinton Fookes, Sridha Sridharan:
SAIVT-ADMRG @ MediaEval 2014 Social Event Detection. MediaEval 2014 - [c234]Afsane Ghasemi, Xinyu Wei, Patrick Lucey, Sridha Sridharan, Clinton Fookes:
Social signal processing for pain monitoring using a hidden conditional random field. SSP 2014: 61-64 - [c233]Sabanadesan Umakanthan, Simon Denman, Clinton Fookes, Sridha Sridharan:
Activity recognition using binary tree SVM. SSP 2014: 248-251 - [c232]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 - [c231]Long Sha, Patrick Lucey, Sridha Sridharan, Stuart Morgan, Dave Pease:
Understanding and analyzing a large collection of archived swimming videos. WACV 2014: 674-681 - [c230]Rajitha Navarathna, Patrick Lucey, Peter Carr, Elizabeth J. Carter, Sridha Sridharan, Iain A. Matthews:
Predicting movie ratings from audience behaviors. WACV 2014: 1058-1065 - [i1]Jack Valmadre, Sridha Sridharan, Simon Lucey:
Learning detectors quickly using structured covariance matrices. CoRR abs/1403.7321 (2014) - 2013
- [j46]Rajitha Navarathna, David Dean, Sridha Sridharan, Patrick Lucey:
Multiple cameras for audio-visual speech recognition in an automotive environment. Comput. Speech Lang. 27(4): 911-927 (2013) - [j45]David Wang, Robert Vogt, Sridha Sridharan:
Eigenvoice modelling for cross likelihood ratio based speaker clustering: A Bayesian approach. Comput. Speech Lang. 27(4): 1011-1027 (2013) - [j44]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) - [j43]Ruan Lakemond, Clinton Fookes, Sridha Sridharan:
Evaluation of two-view geometry methods with automatic ground-truth generation. Image Vis. Comput. 31(12): 921-934 (2013) - [j42]Simon Lucey, Rajitha Navarathna, Ahmed Bilal Ashraf, Sridha Sridharan:
Fourier Lucas-Kanade Algorithm. IEEE Trans. Pattern Anal. Mach. Intell. 35(6): 1383-1396 (2013) - [c229]Shahram Kalantari, Rajitha Navarathna, David Dean, Sridha Sridharan:
Visual front-endwars: Viola-Jones face detector vs Fourier Lucas-Kanade. AVSP 2013: 163-168 - [c228]Sabesan Sivapalan, Daniel Chen, Simon Denman, Sridha Sridharan, Clinton Fookes:
Histogram of Weighted Local Directions for Gait Recognition. CVPR Workshops 2013: 125-130 - [c227]Alina Bialkowski, Patrick Lucey, Peter Carr, Simon Denman, Iain A. Matthews, Sridha Sridharan:
Recognising Team Activities from Noisy Data. CVPR Workshops 2013: 984-990 - [c226]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 - [c225]Alina Bialkowski, Patrick Lucey, Xinyu Wei, Sridha Sridharan:
Person Re-Identification Using Group Information. DICTA 2013: 1-6 - [c224]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 - [c223]Long Sha, Patrick Lucey, Stuart Morgan, Dave Pease, Sridha Sridharan:
Swimmer Localization from a Moving Camera. DICTA 2013: 1-8 - [c222]Sabanadesan Umakanthan, Simon Denman, Clinton Fookes, Sridha Sridharan:
Semi-Binary Based Video Features for Activity Representation. DICTA 2013: 1-7 - [c221]Xinyu Wei, Patrick Lucey, Stuart Morgan, Sridha Sridharan:
Predicting Shot Locations in Tennis Using Spatiotemporal Data. DICTA 2013: 1-8 - [c220]Xinyu Wei, Long Sha, Patrick Lucey, Stuart Morgan, Sridha Sridharan:
Large-Scale Analysis of Formations in Soccer. DICTA 2013: 1-8 - [c219]Xin Cheng, Clinton Fookes, Sridha Sridharan, Jason Saraghi, Simon Lucey:
Deformable face ensemble alignment with robust grouped-L1 anchors. FG 2013: 1-7 - [c218]Xin Cheng, Sridha Sridharan, Jason Saraghi, Simon Lucey:
Rank Minimization across Appearance and Shape for AAM Ensemble Fitting. ICCV 2013: 577-584 - [c217]Houman Ghaemmaghami, David Dean, Sridha Sridharan:
Speaker Attribution of Australian Broadcast News Data. SLAM@INTERSPEECH 2013: 72-77 - [c216]Ahilan Kanagasundaram, David Dean, Javier Gonzalez-Dominguez, Sridha Sridharan, Daniel Ramos, Joaquin Gonzalez-Rodriguez:
Improving short utterance based i-vector speaker recognition using source and utterance-duration normalization techniques. INTERSPEECH 2013: 2465-2469 - [c215]Ahilan Kanagasundaram, David Dean, Javier Gonzalez-Dominguez, Sridha Sridharan, Daniel Ramos, Joaquin Gonzalez-Rodriguez:
Improving the PLDA based speaker verification in limited microphone data conditions. INTERSPEECH 2013: 3674-3678 - [c214]Andrea Lagorio, Massimo Tistarelli, Marinella Cadoni, Clinton Fookes, Sridha Sridharan:
Liveness detection based on 3D face shape analysis. IWBF 2013: 1-4 - 2012
- [j41]Junbin Liu, Tim Wark, Ruan Lakemond, Sridha Sridharan:
Self-calibration of wireless cameras with restricted degrees of freedom. Comput. Vis. Image Underst. 116(10): 1033-1046 (2012) - [j40]Ruan Lakemond, Sridha Sridharan, Clinton Fookes:
Hessian-Based Affine Adaptation of Salient Local Image Features. J. Math. Imaging Vis. 44(2): 150-167 (2012) - [j39]Clinton Fookes, Frank Lin, Vinod Chandran, Sridha Sridharan:
Evaluation of image resolution and super-resolution on face recognition performance. J. Vis. Commun. Image Represent. 23(1): 75-93 (2012) - [j38]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) - [j37]Sien W. Chew, Patrick Lucey, Simon Lucey, Jason M. Saragih, Jeffrey F. Cohn, Iain A. Matthews, Sridha Sridharan:
In the Pursuit of Effective Affective Computing: The Relationship Between Features and Registration. IEEE Trans. Syst. Man Cybern. Part B 42(4): 1006-1016 (2012) - [c213]Deanna Hood, Damian Joseph, Andry Rakotonirainy, Sridha Sridharan, Clinton Fookes:
Use of brain computer interface to drive: preliminary results. AutomotiveUI 2012: 103-106 - [c212]Jingxin Xu, Simon Denman, Clinton Fookes, Sridha Sridharan:
Unusual Scene Detection Using Distributed Behaviour Model and Sparse Representation. AVSS 2012: 48-53 - [c211]Jingxin Xu, Simon Denman, Sridha Sridharan, Clinton Fookes:
Activity Analysis in Complicated Scenes Using DFT Coefficients of Particle Trajectories. AVSS 2012: 82-87 - [c210]Sien W. Chew, Simon Lucey, Patrick Lucey, Sridha Sridharan, Jeff F. Conn:
Improved facial expression recognition via uni-hyperplane classification. CVPR 2012: 2554-2561 - [c209]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 - [c208]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 - [c207]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 - [c206]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 - [c205]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 - [c204]Sabanadesan Umakanthan, Simon Denman, Sridha Sridharan, Clinton Fookes, Tim Wark:
Spatio Temporal Feature Evaluation for Action Recognition. DICTA 2012: 1-8 - [c203]Junbin Liu, Clinton Fookes, Tim Wark, Sridha Sridharan:
On the Statistical Determination of Optimal Camera Configurations in Large Scale Surveillance Networks. ECCV (1) 2012: 44-57 - [c202]Jack Valmadre, Yingying Zhu, Sridha Sridharan, Simon Lucey:
Efficient Articulated Trajectory Reconstruction Using Dynamic Programming and Filters. ECCV (1) 2012: 72-85 - [c201]Xin Cheng, Sridha Sridharan, Jason Saraghi, Simon Lucey:
Anchored Deformable Face Ensemble Alignment. ECCV Workshops (1) 2012: 133-142 - [c200]Stephen Vidas, Sridha Sridharan:
Hand-held monocular SLAM in thermal-infrared. ICARCV 2012: 859-864 - [c199]Houman Ghaemmaghami, David Dean, Robbie Vogt, Sridha Sridharan:
Speaker attribution of multiple telephone conversations using a complete-linkage clustering approach. ICASSP 2012: 4185-4188 - [c198]Kaneswaran Anantharajah, Simon Denman, Sridha Sridharan, Clinton Fookes, Dian Tjondronegoro:
Quality based frame selection for video face recognition. ICSPCS 2012: 1-5 - [c197]Xin Cheng, Ruan Lakemond, Clinton Fookes, Sridha Sridharan:
Efficient real-time face detection for high resolution surveillance applications. ICSPCS 2012: 1-6 - [c196]Ahilan Kanagasundaram, Robbie Vogt, David Dean, Sridha Sridharan:
PLDA based speaker recognition on short utterances. Odyssey 2012: 28-33 - [c195]Ahilan Kanagasundaram, David Dean, Sridha Sridharan, Robbie Vogt:
PLDA based speaker verification with weighted LDA techniques. Odyssey 2012: 34-38 - [c194]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
- [j36]Tristan Kleinschmidt, Sridha Sridharan, Michael Mason:
The use of phase in complex spectrum subtraction for robust speech recognition. Comput. Speech Lang. 25(3): 585-600 (2011) - [j35]Ivan Himawan, Iain McCowan, Sridha Sridharan:
Clustered Blind Beamforming From Ad-Hoc Microphone Arrays. IEEE Trans. Speech Audio Process. 19(4): 661-676 (2011) - [j34]Roy Wallace, Brendan Baker, Robbie Vogt, Sridha Sridharan:
Discriminative Optimization of the Figure of Merit for Phonetic Spoken Term Detection. IEEE Trans. Speech Audio Process. 19(6): 1677-1687 (2011) - [j33]Iain McCowan, David Dean, Mitchell McLaren, Robert Vogt, Sridha Sridharan:
The Delta-Phase Spectrum With Application to Voice Activity Detection and Speaker Recognition. IEEE Trans. Speech Audio Process. 19(7): 2026-2038 (2011) - [j32]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) - [j31]Patrick Lucey, Jeffrey F. Cohn, Iain A. Matthews, Simon Lucey, Sridha Sridharan, Jessica Howlett, Kenneth M. Prkachin:
Automatically Detecting Pain in Video Through Facial Action Units. IEEE Trans. Syst. Man Cybern. Part B 41(3): 664-674 (2011) - [c193]David Ryan, Simon Denman, Clinton Fookes, Sridha Sridharan:
Textures of optical flow for real-time anomaly detection in crowds. AVSS 2011: 230-235 - [c192]Sabesan Sivapalan, Daniel Chen, Simon Denman, Sridha Sridharan, Clinton Fookes:
3D ellipsoid fitting for multi-view gait recognition. AVSS 2011: 355-360 - [c191]Simon Denman, Alina Bialkowski, Clinton Fookes, Sridha Sridharan:
Determining operational measures from multi-camera surveillance systems using soft biometrics. AVSS 2011: 462-467 - [c190]Jingxin Xu, Simon Denman, Sridha Sridharan, Clinton Fookes:
Activity Modelling in Crowded Environments: A Soft-Decision Approach. DICTA 2011: 107-112 - [c189]Rajitha Navarathna, David Dean, Sridha Sridharan, Clinton Fookes, Patrick Lucey:
Visual Voice Activity Detection Using Frontal versus Profile Views. DICTA 2011: 134-139 - [c188]Xufeng Guo, David Dean, Simon Denman, Clinton Fookes, Sridha Sridharan:
Evaluating Automatic Road Detection across a Large Aerial Imagery Collection. DICTA 2011: 140-145 - [c187]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 - [c186]David Ryan, Simon Denman, Sridha Sridharan, Clinton Fookes:
Scene Invariant Crowd Counting. DICTA 2011: 237-242 - [c185]Jack Valmadre, Ben Upcroft, Sridha Sridharan, Simon Lucey:
Graph Rigidity for Near-Coplanar Structure from Motion. DICTA 2011: 480-486 - [c184]Ruan Lakemond, Clinton Fookes, Sridha Sridharan:
Practical Improvements to Simultaneous Computation of Multi-view Geometry and Radial Lens Distortion. DICTA 2011: 524-529 - [c183]Ruan Lakemond, Clinton Fookes, Sridha Sridharan:
Negative Determinant of Hessian Features. DICTA 2011: 530-535 - [c182]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 - [c181]Sabesan Sivapalan, Rajib Kumar Rana, Daniel Chen, Sridha Sridharan, Simon Denman, Clinton Fookes:
Compressive Sensing for Gait Recognition. DICTA 2011: 567-571 - [c180]Sien W. Chew, Patrick Lucey, Simon Lucey, Jason M. Saragih, Jeffrey F. Cohn, Sridha Sridharan:
Person-independent facial expression detection using Constrained Local Models. FG 2011: 915-920 - [c179]Sabesan Sivapalan, Daniel Chen, Simon Denman, Sridha Sridharan, Clinton Fookes:
Gait energy volumes and frontal gait recognition using depth images. IJCB 2011: 1-6 - [c178]Rajitha Navarathna, Sridha Sridharan, Simon Lucey:
Fourier Active Appearance Models. ICCV 2011: 1919-1926 - [c177]Kien Nguyen Thanh, Clinton Fookes, Sridha Sridharan, Simon Denman:
Feature-domain super-resolution for iris recognition. ICIP 2011: 3197-3200 - [c176]David Wang, Robbie Vogt, Sridha Sridharan, David Dean:
Cross Likelihood Ratio Based Speaker Clustering Using Eigenvoice Models. INTERSPEECH 2011: 957-960 - [c175]Houman Ghaemmaghami, David Dean, Robbie Vogt, Sridha Sridharan:
Extending the Task of Diarization to Speaker Attribution. INTERSPEECH 2011: 1049-1052 - [c174]Rajitha Navarathna, Tristan Kleinschmidt, David Dean, Sridha Sridharan, Patrick Lucey:
Can Audio-Visual Speech Recognition Outperform Acoustically Enhanced Speech Recognition in Automotive Environment? INTERSPEECH 2011: 2241-2244 - [c173]Ahilan Kanagasundaram, Robbie Vogt, David Dean, Sridha Sridharan, Michael Mason:
i-vector Based Speaker Recognition on Short Utterances. INTERSPEECH 2011: 2341-2344 - [c172]Sien W. Chew, Rajib Rana, Patrick Lucey, Simon Lucey, Sridha Sridharan:
Sparse Temporal Representations for Facial Expression Recognition. PSIVT (2) 2011: 311-322 - 2010
- [j30]Simon Denman, Todd Lamb, Clinton Fookes, Vinod Chandran, Sridha Sridharan:
Multi-spectral fusion for surveillance systems. Comput. Electr. Eng. 36(4): 643-663 (2010) - [j29]David Dean, Sridha Sridharan:
Dynamic visual features for audio-visual speaker verification. Comput. Speech Lang. 24(2): 136-149 (2010) - [j28]Robbie Vogt, Sridha Sridharan, Michael Mason:
Making Confident Speaker Verification Decisions With Minimal Speech. IEEE Trans. Speech Audio Process. 18(6): 1182-1192 (2010) - [j27]Mitchell McLaren, Robbie Vogt, Brendan Baker, Sridha Sridharan:
Data-Driven Background Dataset Selection for SVM-Based Speaker Verification. IEEE Trans. Speech Audio Process. 18(6): 1496-1506 (2010) - [j26]Mitchell McLaren, Robert Vogt, Brendan Baker, Sridha Sridharan:
A Comparison of Session Variability Compensation Approaches for Speaker Verification. IEEE Trans. Inf. Forensics Secur. 5(4): 802-809 (2010) - [c171]Rajitha Navarathna, David Dean, Patrick Lucey, Sridha Sridharan, Clinton Fookes:
Cascading appearance-based features for visual voice activity detection. AVSP 2010: 1 - [c170]Sien W. Chew, Patrick Lucey, Sridha Sridharan, Clinton Fookes:
Exploring visual features through Gabor representations for facial expression detection. AVSP 2010: 7 - [c169]David Ryan, Simon Denman, Clinton Fookes, Sridha Sridharan:
Crowd Counting Using Group Tracking and Local Features. AVSS 2010: 218-224 - [c168]Simon Denman, Clinton Fookes, Sridha Sridharan, David Ryan:
Multi-Modal Object Tracking using Dynamic Performance Metrics. AVSS 2010: 286-293 - [c167]Daniel Chen, Simon Denman, Clinton Fookes, Sridha Sridharan:
Accurate Silhouettes for Surveillance - Improved Motion Segmentation Using Graph Cuts. DICTA 2010: 369-374 - [c166]Ivan Himawan, Iain McCowan, Sridha Sridharan:
Clustering of ad-hoc microphone arrays for robust blind beamforming. ICASSP 2010: 2814-2817 - [c165]Mitchell McLaren, Brendan Baker, Robbie Vogt, Sridha Sridharan:
Exploiting multiple feature sets in data-driven impostor dataset selection for speaker verification. ICASSP 2010: 4434-4437 - [c164]Houman Ghaemmaghami, David Dean, Sridha Sridharan, Iain McCowan:
Noise robust voice activity detection using normal probability testing and time-domain histogram analysis. ICASSP 2010: 4470-4473 - [c163]Roy Wallace, Robbie Vogt, Brendan Baker, Sridha Sridharan:
Optimising Figure of Merit for phonetic spoken term detection. ICASSP 2010: 5298-5301 - [c162]David Wang, Robert Vogt, Sridha Sridharan:
Bayes factor based speaker segmentation for speaker diarization. INTERSPEECH 2010: 1405-1408 - [c161]David Dean, Sridha Sridharan, Robert Vogt, Michael Mason:
The QUT-NOISE-TIMIT corpus for the evaluation of voice activity detection algorithms. INTERSPEECH 2010: 3110-3113 - [c160]Houman Ghaemmaghami, Brendan Baker, Robert Vogt, Sridha Sridharan:
Noise robust voice activity detection using features extracted from the time-domain autocorrelation function. INTERSPEECH 2010: 3118-3121 - [c159]Mitchell McLaren, Robbie Vogt, Brendan Baker, Sridha Sridharan:
QUT Speaker Identity Verification system for EVALITA 2009. ISSPA 2010: 49-52 - [c158]David Wang, Robbie Vogt, Sridha Sridharan:
Bayes Factor based speaker clustering for speaker diarization. ISSPA 2010: 61-64 - [c157]Kien Nguyen Thanh, Clinton Fookes, Sridha Sridharan:
Fusing shrinking and expanding active contour models for robust iris segementation. ISSPA 2010: 185-188 - [c156]Rajitha Navarathna, Patrick Lucey, David Dean, Clinton Fookes, Sridha Sridharan:
Lip detection for audio-visual speech recognition in-car environment. ISSPA 2010: 598-601 - [c155]Clinton Fookes, Sridha Sridharan:
Eigengaze - covert behavioral biometric exploiting visual attention characteristics. ISSPA 2010: 654-657 - [c154]Mitchell McLaren, Robbie Vogt, Brendan Baker, Sridha Sridharan:
Experiments in SVM-based Speaker Verification Using Short Utterances. Odyssey 2010: 17 - [c153]Javier Gonzalez-Dominguez, Brendan Baker, Robbie Vogt, Joaquin Gonzalez-Rodriguez, Sridha Sridharan:
On the Use of Factor Analysis with Restricted Target Data in Speaker Verification. Odyssey 2010: 20 - [c152]Kien Nguyen Thanh, Clinton Fookes, Sridha Sridharan:
Robust mean super-resolution for less cooperative NIR iris recognition at a distance and on the move. SoICT 2010: 122-127
2000 – 2009
- 2009
- [j25]Simon Lucey, Yang Wang, Mark Cox, Sridha Sridharan, Jeffrey F. Cohn:
Efficient constrained local model fitting for non-rigid face alignment. Image Vis. Comput. 27(12): 1804-1813 (2009) - [c151]Patrick Lucey, Jeffrey F. Cohn, Simon Lucey, Iain A. Matthews, Sridha Sridharan, Kenneth M. Prkachin:
Automatically detecting pain using facial actions. ACII 2009: 1-8 - [c150]Ruan Lakemond, Clinton Fookes, Sridha Sridharan:
Affine Adaptation of Local Image Features Using the Hessian Matrix. AVSS 2009: 496-501 - [c149]Simon Denman, Clinton Fookes, Sridha Sridharan, Ruan Lakemond:
Dynamic Performance Measures for Object Tracking Systems. AVSS 2009: 541-546 - [c148]Patrick Lucey, Jeffrey F. Cohn, Simon Lucey, Sridha Sridharan, Kenneth M. Prkachin:
Automatically detecting action units from faces of pain: Comparing shape and appearance features. CVPR Workshops 2009: 12-18 - [c147]Ruan Lakemond, Clinton Fookes, Sridha Sridharan:
Dense Correspondence Extraction in Difficult Uncalibrated Scenarios. DICTA 2009: 53-60 - [c146]David Ryan, Simon Denman, Clinton Fookes, Sridha Sridharan:
Crowd Counting Using Multiple Local Features. DICTA 2009: 81-88 - [c145]Simon Denman, Clinton Fookes, Sridha Sridharan:
Improved Simultaneous Computation of Motion Detection and Optical Flow for Object Tracking. DICTA 2009: 175-182 - [c144]Simon Denman, Clinton Fookes, Alina Bialkowski, Sridha Sridharan:
Soft-Biometrics: Unconstrained Authentication in a Surveillance Environment. DICTA 2009: 196-203 - [c143]Mitchell McLaren, Brendan Baker, Robbie Vogt, Sridha Sridharan:
Improved SVM speaker verification through data-driven background dataset collection. ICASSP 2009: 4041-4044 - [c142]Tristan Kleinschmidt, Michael Mason, Eddie Wong, Sridha Sridharan:
The Australian English Speech Corpus for In-Car Speech processing. ICASSP 2009: 4177-4180 - [c141]Roy Wallace, Robbie Vogt, Sridha Sridharan:
Spoken term detection using fast phonetic decoding. ICASSP 2009: 4881-4884 - [c140]Robbie Vogt, Sridha Sridharan:
Minimising Speaker Verification Utterance Length through Confidence Based Early Verification Decisions. ICB 2009: 454-463 - [c139]Brendan Baker, Robbie Vogt, Mitchell McLaren, Sridha Sridharan:
Scatter Difference NAP for SVM Speaker Recognition. ICB 2009: 464-473 - [c138]Mitchell McLaren, Robbie Vogt, Brendan Baker, Sridha Sridharan:
Data-Driven Impostor Selection for T-Norm Score Normalisation and the Background Dataset in SVM-Based Speaker Verification. ICB 2009: 474-483 - [c137]Mark Cox, Sridha Sridharan, Simon Lucey, Jeffrey F. Cohn:
Least-squares congealing for large numbers of images. ICCV 2009: 1949-1956 - [c136]Ruan Lakemond, Clinton Fookes, Sridha Sridharan:
PhD forum: Multiple camera management using wide base-line matching. ICDSC 2009: 1-2 - [c135]Tristan Kleinschmidt, Pinar Boyraz, Hynek Boril, Sridha Sridharan, John H. L. Hansen:
Assessment of speech dialog systems using multi-modal cognitive load analysis and driving performance metrics. ICVES 2009: 162-167 - [c134]Mitchell McLaren, Robbie Vogt, Brendan Baker, Sridha Sridharan:
Improved GMM-based speaker verification using SVM-driven impostor dataset selection. INTERSPEECH 2009: 1267-1270 - [c133]Robbie Vogt, Jason W. Pelecanos, Nicolas Scheffer, Sachin S. Kajarekar, Sridha Sridharan:
Within-session variability modelling for factor analysis speaker verification. INTERSPEECH 2009: 1563-1566 - [c132]Roy Wallace, Brendan Baker, Robbie Vogt, Sridha Sridharan:
The effect of language models on phonetic decoding for spoken term detection. SSCS@MM 2009: 31-36 - 2008
- [j24]Robbie Vogt, Sridha Sridharan:
Explicit modelling of session variability for speaker verification. Comput. Speech Lang. 22(1): 17-38 (2008) - [j23]Chris McCool, Vinod Chandran, Sridha Sridharan, Clinton Fookes:
3D face verification using a free-parts approach. Pattern Recognit. Lett. 29(9): 1190-1196 (2008) - [c131]Patrick Lucey, Gerasimos Potamianos, Sridha Sridharan:
Patch-based analysis of visual speech from multiple views. AVSP 2008: 69-74 - [c130]David Dean, Sridha Sridharan:
Fused HMM adaptation of synchronous HMMs for audio-visual speaker verification. AVSP 2008: 137-141 - [c129]Patrick Lucey, Jessica Howlett, Jeffrey F. Cohn, Simon Lucey, Sridha Sridharan, Zara Ambadar:
Improving pain recognition through better utilisation of temporal information. AVSP 2008: 167-172 - [c128]Mark Cox, Sridha Sridharan, Simon Lucey, Jeffrey F. Cohn:
Least squares congealing for unsupervised alignment of images. CVPR 2008 - [c127]Daniel Chen, Brenden Chen, George Mamic, Clinton Fookes, Sridha Sridharan:
Improved GrabCut Segmentation via GMM Optimisation. DICTA 2008: 39-45 - [c126]Clinton Fookes, George Mamic, Chris McCool, Sridha Sridharan:
Normalisation and Recognition of 3D Face Data Using Robust Hausdorff Metric. DICTA 2008: 124-129 - [c125]Ivan Himawan, Sridha Sridharan, Iain McCowan:
Dealing with uncertainty in microphone placement in a microphone array speech recognition system. ICASSP 2008: 1565-1568 - [c124]David Dean, Sridha Sridharan, Patrick Lucey:
Cascading appearance-based features for visual speaker verification. INTERSPEECH 2008: 359-362 - [c123]Robbie Vogt, Brendan Baker, Sridha Sridharan:
Factor analysis subspace estimation for speaker verification with short utterances. INTERSPEECH 2008: 853-856 - [c122]Robbie Vogt, Sridha Sridharan, Michael Mason:
Making confident speaker verification decisions with minimal speech. INTERSPEECH 2008: 1405-1408 - [c121]Patrick Lucey, Sridha Sridharan, David Dean:
Continuous pose-invariant lipreading. INTERSPEECH 2008: 2679-2682 - [c120]Patrick Lucey, Simon Lucey, Mark Cox, Sridha Sridharan, Jeffrey F. Cohn:
Comparing object alignment algorithms with appearance variation: Forward-additive vs inverse-composition. MMSP 2008: 337-342 - [c119]Robbie Vogt, Sachin S. Kajarekar, Sridha Sridharan:
Discriminant NAP for SVM speaker recognition. Odyssey 2008: 10 - [c118]Robbie Vogt, Chris Lustri, Sridha Sridharan:
Factor analysis modelling for speaker verification with short utterances. Odyssey 2008: 19 - 2007
- [j22]Simon Denman, Vinod Chandran, Sridha Sridharan:
An adaptive optical flow technique for person tracking systems. Pattern Recognit. Lett. 28(10): 1232-1239 (2007) - [j21]Kishan Thambiratnam, Sridha Sridharan:
Rapid Yet Accurate Speech Indexing Using Dynamic Match Lattice Spotting. IEEE Trans. Speech Audio Process. 15(1): 346-357 (2007) - [j20]Jamie Cook, Vinod Chandran, Sridha Sridharan:
Multiscale Representation for 3-D Face Recognition. IEEE Trans. Inf. Forensics Secur. 2(3-2): 529-536 (2007) - [c117]David Dean, Patrick Lucey, Sridha Sridharan, Tim Wark:
Weighting and normalisation of synchronous HMMs for audio-visual speech recognition. AVSP 2007: 28 - [c116]Patrick Lucey, Gerasimos Potamianos, Sridha Sridharan:
An extended pose-invariant lipreading system. AVSP 2007 - [c115]Frank Lin, Clinton Fookes, Vinod Chandran, Sridha Sridharan:
Super-Resolved Faces for Improved Face Recognition from Surveillance Video. ICB 2007: 1-10 - [c114]Jamie Cook, Mark Cox, Vinod Chandran, Sridha Sridharan:
Robust 3D Face Recognition from Expression Categorisation. ICB 2007: 271-280 - [c113]Mitchell McLaren, Robbie Vogt, Sridha Sridharan:
SVM Speaker Verification Using Session Variability Modelling and GMM Supervectors. ICB 2007: 1077-1084 - [c112]Patrick Lucey, Gerasimos Potamianos, Sridha Sridharan:
A unified approach to multi-pose audio-visual ASR. INTERSPEECH 2007: 650-653 - [c111]David Dean, Patrick Lucey, Sridha Sridharan, Tim Wark:
Fused HMM-adaptation of multi-stream HMMs for audio-visual speech recognition. INTERSPEECH 2007: 666-669 - [c110]Mitchell McLaren, Robbie Vogt, Brendan Baker, Sridha Sridharan:
A comparison of session variability compensation techniques for SVM-based speaker recognition. INTERSPEECH 2007: 790-793 - [c109]Roy Wallace, Robbie Vogt, Sridha Sridharan:
A phonetic search approach to the 2006 NIST spoken term detection evaluation. INTERSPEECH 2007: 2385-2388 - [c108]Frank Lin, Simon Denman, Vinod Chandran, Sridha Sridharan:
Automatic Tracking, Super-Resolution and Recognition of Human Faces from Surveillance Video. MVA 2007: 37-40 - [c107]Simon Denman, Vinod Chandran, Sridha Sridharan:
Robust Real Time Multi-Layer Foreground Segmentation. MVA 2007: 496-499 - 2006
- [j19]Terrence Martin, Brendan Baker, Eddie Wong, Sridha Sridharan:
A syllable-scale framework for language identification. Comput. Speech Lang. 20(2-3): 276-302 (2006) - [j18]Anthony N. Nguyen, Vinod Chandran, Sridha Sridharan:
Gaze tracking for region of interest coding in JPEG 2000. Signal Process. Image Commun. 21(5): 359-377 (2006) - [c106]Simon Denman, Vinod Chandran, Sridha Sridharan, Clinton Fookes:
A Multi-Class Tracker Using a Scalable Condensation Filter. AVSS 2006: 25 - [c105]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 - [c104]Chris McCool, Jamie Cook, Vinod Chandran, Sridha Sridharan:
Feature Modelling of PCA Difference Vectors for 2D and 3D Face Recognition. AVSS 2006: 57 - [c103]Frank Lin, Clinton Fookes, Vinod Chandran, Sridha Sridharan:
The Role of Motion Models in Super-Resolving Surveillance Video for Face Recognition. AVSS 2006: 58 - [c102]George Mamic, Clinton Fookes, Sridha Sridharan:
Human Face Reconstruction Using Bayesian Deformable Models. AVSS 2006: 59 - [c101]Jamie Cook, Chris McCool, Vinod Chandran, Sridha Sridharan:
Combined 2D/3D Face Recognition Using Log-Gabor Templates. AVSS 2006: 83 - [c100]Peter J. Barger, Sridha Sridharan:
On the Performance and Use of Speaker Recognition Systems for Surveillance. AVSS 2006: 109 - [c99]Robbie Vogt, Sridha Sridharan:
Experiments in Session Variability Modelling for Speaker Verification. ICASSP (1) 2006: 897-900 - [c98]Brendan Baker, Sridha Sridharan:
Speaker Verification using Hidden Markov Models in a Multilingual Text-constrained Framework. Odyssey 2006: 1-6 - [c97]Peter J. Barger, Sridha Sridharan:
Application Specific Bounds on Detection Cost using Game Theory. Odyssey 2006: 1-5 - [c96]Terrence Martin, Eddie Wong, Sridha Sridharan:
Towards Improved Assessment of Phonotactic Information for Automatic Language Identification. Odyssey 2006: 1-8 - [c95]George Mamic, Clinton Fookes, Sridha Sridharan:
What Is the Average Human Face? PSIVT 2006: 692-701 - 2005
- [j17]Darren E. Butler, V. Michael Bove Jr., Sridha Sridharan:
Real-Time Adaptive Foreground/Background Segmentation. EURASIP J. Adv. Signal Process. 2005(14): 2292-2304 (2005) - [j16]Andrew Busch, Wageeh W. Boles, Sridha Sridharan:
Texture for Script Identification. IEEE Trans. Pattern Anal. Mach. Intell. 27(11): 1720-1732 (2005) - [j15]Simon Lucey, Tsuhan Chen, Sridha Sridharan, Vinod Chandran:
Integration strategies for audio-visual speech processing: applied to text-dependent speaker recognition. IEEE Trans. Multim. 7(3): 495-506 (2005) - [c94]Patrick Lucey, David Dean, Sridha Sridharan:
Problems associated with current area-based visual speech feature extraction techniques. AVSP 2005: 73-78 - [c93]David Dean, Patrick Lucey, Sridha Sridharan:
Audio-visual speaker identification using the CUAVE database. AVSP 2005: 97-102 - [c92]Jamie Cook, Vinod Chandran, Sridha Sridharan, Clinton Fookes:
Gabor Filter Bank Representation for 3D Face Recognition. DICTA 2005: 4 - [c91]Chris McCool, Vinod Chandran, Anthony N. Nguyen, Sridha Sridharan:
Object Recognition Using Stereo Vision and Higher Order Spectra. DICTA 2005: 6 - [c90]Simon Denman, Vinod Chandran, Sridha Sridharan:
Adaptive Optical Flow for Person Tracking. DICTA 2005: 8 - [c89]Patrick Lucey, Simon Lucey, Sridha Sridharan:
Using a Free-Parts Representation for Visual Speech Recognition. DICTA 2005: 55 - [c88]Kishan Thambiratnam, Sridha Sridharan:
Dynamic Match Phone-Lattice Searches For Very Fast And Accurate Unrestricted Vocabulary Keyword Spotting. ICASSP (1) 2005: 465-468 - [c87]Terrence Martin, Sridha Sridharan:
Cross-language Acoustic Model Refinement for the Indonesian Language. ICASSP (1) 2005: 865-868 - [c86]Brendan Baker, Robbie Vogt, Sridha Sridharan:
Gaussian mixture modelling of broad phonetic and syllabic events for text-independent speaker verification. INTERSPEECH 2005: 2429-2432 - [c85]Michael Mason, Robbie Vogt, Brendan Baker, Sridha Sridharan:
Data-driven clustering for blind feature mapping in speaker verification. INTERSPEECH 2005: 3109-3112 - [c84]Robbie Vogt, Brendan Baker, Sridha Sridharan:
Modelling session variability in text-independent speaker verification. INTERSPEECH 2005: 3117-3120 - [c83]David Dean, Patrick Lucey, Sridha Sridharan, Tim Wark:
Comparing audio and visual information for speech processing. ISSPA 2005: 58-61 - [c82]Simon Denman, Vinod Chandran, Sridha Sridharan:
Tracking people in 3D using position, size and shape. ISSPA 2005: 611-614 - [c81]Ronald Elunai, Vinod Chandran, Sridha Sridharan:
Texture classification using gabor energy features and higher order spectral features: a comparative study. ISSPA 2005: 659-662 - [c80]Frank Lin, James Cook, Vinod Chandran, Sridha Sridharan:
Face recognition from super-resolved images. ISSPA 2005: 667-670 - 2004
- [j14]Anthony N. Nguyen, Vinod Chandran, Sridha Sridharan:
Importance prioritisation in JPEG 2000 for improved interpretability. Signal Process. Image Commun. 19(10): 1005-1028 (2004) - [c79]Jamie Cook, Vinod Chandran, Sridha Sridharan, Clinton Fookes:
Face Recognition from 3D Data using Iterative Closest Point Algorithm and Gaussian Mixture Models. 3DPVT 2004: 502-509 - [c78]Clinton Fookes, Anthony J. Maeder, Sridha Sridharan, Jamie Cook:
Multi-Spectral Stereo Image Matching using Mutual Information. 3DPVT 2004: 961-968 - [c77]Andrew Busch, Wageeh W. Boles, Sridha Sridharan:
Logarithmic quantisation of wavelet coefficients for improved texture classification performance. ICASSP (3) 2004: 569-572 - [c76]Hossein Ebrahimpour, Vinod Chandran, Sridha Sridharan:
An Application of Fractal Image-Set Coding in Facial Recognition. ICBA 2004: 178-186 - [c75]Vinod Chandran, Daryl Ning, Sridha Sridharan:
Speaker Identification Using Higher Order Spectral Phase Features and their Effectiveness vis-a-vis Mel-Cepstral Features. ICBA 2004: 614-622 - [c74]Jason Baker, Vinod Chandran, Sridha Sridharan:
Techniques for improving stereo depth maps of faces. ICIP 2004: 3279-3282 - [c73]Anthony N. Nguyen, Vinod Chandran, Sridha Sridharan:
Visual attention based roi maps from gaze tracking data. ICIP 2004: 3495-3498 - [c72]Kieron Messer, Josef Kittler, Mohammad Sadeghi, Miroslav Hamouz, Alexey Kostin, Fabien Cardinaux, Sébastien Marcel, Samy Bengio, Conrad Sanderson, Jacek Czyz, Luc Vandendorpe, Chris McCool, Scott Lowther, Sridha Sridharan, Vinod Chandran, Roberto Paredes Palacios, Enrique Vidal, Li Bai, LinLin Shen, Yan Wang, Yueh-Hsuan Chiang, Hsien-Chang Liu, Yi-Ping Hung, Alexander Heinrichs, Marco K. Müller, Andreas Tewes, Christoph von der Malsburg, Rolf P. Würtz, Zhenger Wang, Feng Xue, Yong Ma, Qiong Yang, Chi Fang, Xiaoqing Ding, Simon Lucey, Ralph Goss, Henry Schneiderman, Norman Poh, Yann Rodriguez:
Face Authentication Test on the BANCA Database. ICPR (4) 2004: 523-532 - [c71]Brendan Baker, Robbie Vogt, Michael Mason, Sridha Sridharan:
Improved phonetic and lexical speaker recognition through MAP adaptation. Odyssey 2004: 91-96 - [c70]Robbie Vogt, Sridha Sridharan:
Bayes factor scoring of GMMs for speaker verification. Odyssey 2004: 173-178 - [c69]Terrence Martin, Eddie Wong, Brendan Baker, Michael Mason, Sridha Sridharan:
Pitch and energy trajectory modelling in a syllable length temporal framework for language identification. Odyssey 2004: 289-296 - 2003
- [j13]Shahrokh Ghaemmaghami, Mohamed A. Deriche, Sridha Sridharan:
Interpolative coding of speech parameters using hierarchical temporal decomposition. Digit. Signal Process. 13(3): 433-456 (2003) - [j12]Simon Lucey, Sridha Sridharan, Vinod Chandran:
Improved Facial-Feature Detection for AVSP via Unsupervised Clustering and Discriminant Analysis. EURASIP J. Adv. Signal Process. 2003(3): 264-275 (2003) - [j11]Anthony N. Nguyen, Vinod Chandran, Sridha Sridharan, Robert Prandolini:
Interpretability performance assessment of JPEG2000 and part 1 compliant region of interest coding. IEEE Trans. Consumer Electron. 49(4): 808-817 (2003) - [c68]Darren E. Butler, Chris McCool, Matthew McKay, Scott Lowther, Vinod Chandran, Sridha Sridharan:
Robust Face Localisation Using Motion, Colour and Fusion. DICTA 2003: 899-908 - [c67]Eddie Wong, Sridha Sridharan:
Three approaches to multilingual phone recognition. ICASSP (1) 2003: 44-47 - [c66]Darren E. Butler, Sridha Sridharan, V. Michael Bove Jr.:
Real-time adaptive background segmentation. ICASSP (3) 2003: 349-352 - [c65]Darren E. Butler, Sridha Sridharan, V. Michael Bove Jr.:
Real-time adaptive background segmentation. ICME 2003: 341-344 - [c64]Kishan Thambiratnam, Sridha Sridharan:
Isolated word verification using cohort word-level verification. INTERSPEECH 2003: 905-908 - [c63]Robbie Vogt, Jason W. Pelecanos, Sridha Sridharan:
Dependence of GMM adaptation on feature post-processing for speaker recognition. INTERSPEECH 2003: 3013-3016 - [c62]Terrence Martin, Torbjørn Svendsen, Sridha Sridharan:
Cross-lingual pronunciation modelling for indonesian speech recognition. INTERSPEECH 2003: 3125-3128 - [c61]Eddie Wong, Terrence Martin, Torbjørn Svendsen, Sridha Sridharan:
Multilingual phone clustering for recognition of spontaneous indonesian speech utilising pronunciation modelling techniques. INTERSPEECH 2003: 3133-3136 - [c60]Anthony N. Nguyen, Vinod Chandran, Sridha Sridharan, Robert Prandolini:
Importance prioritization coding in JPEG2000 for interpretability with application to surveillance imagery. VCIP 2003: 806-817 - 2002
- [j10]Iain McCowan, Darren Moore, Sridha Sridharan:
Near-field Adaptive Beamformer for Robust Speech Recognition. Digit. Signal Process. 12(1): 87-106 (2002) - [j9]Simon Lucey, Sridha Sridharan, Vinod Chandran:
Adaptive mouth segmentation using chromatic features. Pattern Recognit. Lett. 23(11): 1293-1302 (2002) - [c59]Anthony N. Nguyen, Vinod Chandran, Sridha Sridharan, Robert Prandolini:
Progressive coding in JPEG2000 - improving content recognition performance using ROIs and importance maps. EUSIPCO 2002: 1-4 - [c58]Darren E. Butler, Sridha Sridharan, Vinod Chandran:
Chromatic colour spaces for skin detection using GMMS. ICASSP 2002: 3620-3623 - [c57]Eddie Wong, Sridha Sridharan:
Methods to improve Gaussian mixture model based language identification system. INTERSPEECH 2002: 93-96 - [c56]Simon Lucey, Sridha Sridharan, Vinod Chandran:
A link between cepstral shrinking and the weighted product rule in audio-visual speech recognition. INTERSPEECH 2002: 1961-1964 - 2001
- [j8]Tim Wark, Sridha Sridharan:
Adaptive Fusion of Speech and Lip Information for Robust Speaker Identification. Digit. Signal Process. 11(3): 169-186 (2001) - [j7]Iain McCowan, Sridha Sridharan:
Multi-Channel Sub-Band Speech Recognition. EURASIP J. Adv. Signal Process. 2001(1): 45-52 (2001) - [c55]Iain McCowan, Sridha Sridharan:
Microphone array sub-band speech recognition. ICASSP 2001: 185-188 - [c54]John Dines, Sridha Sridharan:
Trainable speech synthesis with trended hidden Markov models. ICASSP 2001: 833-836 - [c53]Hossein Ebrahimpour-Komleh, Vinod Chandran, Sridha Sridharan:
Face recognition using fractal codes. ICIP (3) 2001: 58-61 - [c52]Simon Lucey, Sridha Sridharan, Vinod Chandran:
A suitability metric for mouth tracking through chromatic segmentation. ICIP (3) 2001: 258-261 - [c51]Anthony N. Nguyen, Vinod Chandran, Sridha Sridharan, Robert Prandolini:
Importance coding of still imagery based on importance maps of visually interpretable regions. ICIP (3) 2001: 776-779 - [c50]Simon Lucey, Sridha Sridharan, Vinod Chandran:
An investigation of HMM classifier combination strategies for improved audio-visual speech recognition. INTERSPEECH 2001: 1185-1188 - [c49]John Dines, Sridha Sridharan, Miles Moody:
Application of the trended hidden Markov model to speech synthesis. INTERSPEECH 2001: 2239-2242 - [c48]Hossein Ebrahimpour-Komleh, Vinod Chandran, Sridha Sridharan:
Robustness to expression variations in fractal-based face recognition. ISSPA 2001: 359-362 - [c47]Simon Lucey, Sridha Sridharan, Vinod Chandran:
Improving visual noise insensitivity in small vocabulary audio visual speech recognition applications. ISSPA 2001: 434-437 - [c46]Anthony N. Nguyen, Vinod Chandran, Sridha Sridharan, Robert Prandolini:
Importance coding of surveillance imagery for interpretability using quadtree dynamic importance maps. ISSPA 2001: 557-560 - [c45]Iain A. McCowan, Jason W. Pelecanos, Sridha Sridharan:
Robust speaker recognition using microphone arrays. Odyssey 2001: 101-106 - [c44]Jason W. Pelecanos, Sridha Sridharan:
Feature warping for robust speaker verification. Odyssey 2001: 213-218 - 2000
- [j6]David P. Thambiratnam, Sridha Sridharan:
Improving Speech Recognition Accuracy for Small Vocabulary Applications in Adverse Environments. Int. J. Speech Technol. 3(2): 109-117 (2000) - [j5]David R. Cole, Sridha Sridharan, Miles Moody:
Frequency offset correction for HF radio speech reception. IEEE Trans. Ind. Electron. 47(2): 438-443 (2000) - [c43]Yuchang Cao, Sridha Sridharan:
Improving the performance of a small microphone array at low frequencies using critical band and LPC codebooks. ICASSP 2000: 1033-1036 - [c42]Timothy Wark, Sridha Sridharan, Vinod Chandran:
The use of temporal speech and lip information for multi-modal speaker identification via multi-stream HMMs. ICASSP 2000: 2389-2392 - [c41]Michael Mason, Sridha Sridharan, Vinod Chandran:
Hybrid coding of mixed signals for digital covert audio surveillance. ICASSP 2000: 3654-3657 - [c40]Simon Lucey, Sridha Sridharan, Vinod Chandran:
Initialized Eigenlip Estimator for Fast Lip Tracking Using Linear Regression. ICPR 2000: 3182-3185 - [c39]Jason W. Pelecanos, S. Myers, Sridha Sridharan, Vinod Chandran:
Vector Quantization Based Gaussian Modeling for Speaker Verification. ICPR 2000: 3298-3301
1990 – 1999
- 1999
- [j4]John Leis, Sridha Sridharan:
Fast Search Methods for Spectral Quantization. Digit. Signal Process. 9(2): 76-88 (1999) - [j3]John Leis, Sridha Sridharan:
Adaptive Vector Quantization for Speech Spectrum Coding. Digit. Signal Process. 9(2): 89-106 (1999) - [c38]Timothy Wark, Sridha Sridharan, Vinod Chandran:
Robust speaker verification via fusion of speech and lip modalities. ICASSP 1999: 3061-3064 - [c37]Tim Wark, Sridha Sridharan, Vinod Chandran:
The Use of Speech and Lip Modalities for Robust Speaker Verification under Adverse Conditions. ICMCS, Vol. 1 1999: 812-816 - [c36]Jason W. Pelecanos, Sridha Sridharan:
Modelling output probability distributions for enhancing speaker recognition. EUROSPEECH 1999: 999-1002 - [c35]Michael Mason, Sridha Sridharan, Robert Prandolini:
Digital coding of covert audio for monitoring and storage. ISSPA 1999: 475-478 - [c34]David R. Cole, Sridha Sridharan:
Speech compaction using vector quantisation and hidden Markov models. ISSPA 1999: 479-482 - [c33]Jason W. Pelecanos, Stefan Slomka, Sridha Sridharan:
Enhancing automatic speaker identification using phoneme clustering and frame based parameter and frame size selection. ISSPA 1999: 633-636 - [c32]Simon Lucey, Sridha Sridharan, Vinod Chandran:
Chromatic lip tracking using a connectivity based fuzzy thresholding technique. ISSPA 1999: 669-672 - 1998
- [c31]Sridha Sridharan, John Leis:
Two novel lossless algorithms to exploit index redundancy in VQ speech compression. ICASSP 1998: 57-60 - [c30]Timothy Wark, Sridha Sridharan:
A syntactic approach to automatic lip feature extraction for speaker identification. ICASSP 1998: 3693-3696 - [c29]Tim Wark, Sridha Sridharan, Vinod Chandran:
An approach to statistical lip modelling for speaker identification via chromatic feature extraction. ICPR 1998: 123-125 - [c28]Shahrokh Ghaemmaghami, Mohamed A. Deriche, Sridha Sridharan:
Hierarchical temporal decomposition: a novel approach to efficient compression of spectral characteristics of speech. ICSLP 1998 - [c27]James Moody, Stefan Slomka, Jason W. Pelecanos, Sridha Sridharan:
On the convergence of Gaussian mixture models: improvements through vector quantization. ICSLP 1998 - [c26]Latchman Singh, Sridha Sridharan:
Speech enhancement using critical band spectral subtraction. ICSLP 1998 - [c25]Stefan Slomka, Sridha Sridharan, Vinod Chandran:
A comparison of fusion techniques in mel-cepstral based speaker identification. ICSLP 1998 - [c24]David P. Thambiratnam, Sridha Sridharan:
Modeling of output probability distribution to improve small vocabulary speech recognition in adverse environments. ICSLP 1998 - [c23]Tim Wark, Sridha Sridharan:
Improving speaker identification performance in reverberant conditions using lip information. ICSLP 1998 - 1997
- [j2]Yuchang Cao, Sridha Sridharan, Miles Moody:
Multichannel speech separation by eigendecomposition and its application to co-talker interference removal. IEEE Trans. Speech Audio Process. 5(3): 209-219 (1997) - [c22]Pierre Castellano, Stefan Slomka, Sridha Sridharan:
Telephone based speaker recognition using multiple binary classifier and Gaussian mixture models. ICASSP 1997: 1075-1078 - [c21]John Leis, Mark Phythian, Sridha Sridharan:
Speech compression with preservation of speaker identity. ICASSP 1997: 1711-1714 - [c20]Yuchang Cao, Sridha Sridharan, Miles Moody:
Speech separation by simulating the cocktail party effect with a neural network controlled Wiener filter. ICASSP 1997: 3261-3264 - [c19]Stefan Slomka, Sridha Sridharan:
Automatic gender identification under adverse conditions. EUROSPEECH 1997: 2307-2310 - [c18]David R. Cole, Miles Moody, Sridha Sridharan:
Robust enhancement of reverberant speech using iterative noise removal. EUROSPEECH 1997: 2603-2606 - 1996
- [j1]Pierre Castellano, Sridha Sridharan:
A two stage fuzzy decision classifier for speaker identification. Speech Commun. 18(2): 139-149 (1996) - [c17]Stefan Slomka, Pierre Castellano, Peter J. Barger, Sridha Sridharan, V. Lakshmi Narasimhan:
A comparison of Gaussian mixture and multiple binary classifier models for speaker verification. ANZIIS 1996: 316-319 - [c16]Pierre J. Castellano, Sridha Sridharan, David R. Cole:
Speaker recognition in reverberant enclosures. ICASSP 1996: 117-120 - [c15]David R. Cole, Miles Moody, Sridha Sridharan:
Intelligibility Measurement of Processed Reverberant Speech. ISSPA 1996: 89-92 - [c14]Stefan Slomka, Pierre Castellano, Sridha Sridharan:
A Comparison of Three Discriminant Models for Automatic Speaker Verification. ISSPA 1996: 325-328 - [c13]Sherman Ong, Sridha Sridharan, Cheng-Hong Yang, Miles Moody:
Comparison of Four Distance Measures for Long Time Text-Independent Speaker Identification. ISSPA 1996: 369-372 - [c12]David R. Cole, Miles Moody, Sridha Sridharan:
Enhancement Methods for Reverberant Speech. ISSPA 1996: 383-386 - [c11]Malcolm B. Jones, Sridha Sridharan:
Improving The Effectiveness of Existing Noise Reduction Techniques Using Neural Networks. ISSPA 1996: 387-388 - [c10]Yuchang Cao, Sridha Sridharan, Miles Moody:
An Intelligent Microphone Array for Speech Enhancement. ISSPA 1996: 391-394 - [c9]Mark Phythian, John Leis, Sridha Sridharan:
Robust Speech Coding for the Preservation of Speaker Identity. ISSPA 1996: 395-398 - [c8]Stefan Slomka, Pierre Castellano, Sridha Sridharan:
Enhancing The Multiple Binary Classifier Model. ISSPA 1996: 537-540 - [c7]Yuchang Cao, Sridha Sridharan, Miles Moody:
Speech Enhancement Iby Simulation Of Cocktail Party Effect With Neural Network Controlled Iterative Filter. ISSPA 1996: 541-544 - [c6]Boualem Boashash, Sridha Sridharan, Vinod Chandran:
A New Approach To Teaching Signal Processing At Undergraduate Level. ISSPA 1996: 792-795 - [c5]Vinod Chandran, Sridha Sridharan, Boualem Boashash:
Academic Strategy Planning For A University Research Centre. ISSPA 1996: 797-800 - 1995
- [c4]Yuchang Cao, Sridha Sridharan, Miles Moody:
Speech-seeking microphone array with multi-stage processing. EUROSPEECH 1995: 1991-1994 - [c3]Yuchang Cao, Sridha Sridharan, Miles Moody:
Speech enhancement by eigen decomposition with two-channel observations. EUROSPEECH 1995: 2017-2020 - 1994
- [c2]Sridha Sridharan, Vinod Chandran, M. Dawson:
The design and development of an undergraduate signal processing laboratory. ICASSP (6) 1994: 41-44
1980 – 1989
- 1987
- [c1]Sridha Sridharan:
Implementation of state-space digital filter structures using block floating-point arithmetic. ICASSP 1987: 908-911
Coauthor Index
[j39] [j30] [j23] [j22] [j20] [c115] [c114] [c108] [c107] [j18] [c106] [c104] [c103] [c101] [j15] [c92] [c91] [c90] [c82] [c81] [c80] [j14] [c79] [c76] [c75] [c74] [c73] [c72] [j12] [j11] [c68] [c60] [j9] [c59] [c58] [c56] [c53] [c52] [c51] [c50] [c48] [c47] [c46] [c42] [c41] [c40] [c39] [c38] [c37] [c32] [c29] [c25] [c6] [c5] [c2]
[j122] [i59] [j73] [j72] [c303] [c300] [i27] [j66] [j64] [c283] [c279] [j62] [c274] [c273] [i7] [i6] [i5] [c265] [c264] [c259] [c258] [c257] [c256] [c255] [c254] [c253] [c252] [c250] [j51] [j48] [c243] [c242] [c241] [c236] [c235] [j46] [c229] [c217] [c216] [c215] [c199] [c196] [c195] [j33] [c189] [c188] [c176] [c175] [c174] [c173] [j29] [c171] [c164] [c161] [c156] [c130] [c124] [c121] [c117] [c111] [c94] [c93] [c83]
[j127] [i99] [j122] [j120] [j119] [j117] [j116] [c343] [i95] [i93] [j114] [j113] [j112] [j111] [j110] [j109] [j108] [j107] [j106] [c342] [c340] [i85] [i84] [j102] [j101] [j100] [j99] [j98] [j97] [j96] [j95] [c337] [c335] [i79] [i78] [i75] [i74] [i73] [i72] [j94] [j93] [j92] [j91] [j90] [j87] [j85] [j82] [j81] [c334] [c333] [c332] [c331] [i67] [i66] [i65] [i64] [i62] [i61] [i60] [i59] [i58] [i57] [i55] [i54] [i53] [i52] [i51] [i48] [j79] [j76] [j75] [c330] [c328] [c327] [c325] [c324] [c323] [c320] [i46] [i44] [i43] [i41] [i40] [i39] [i38] [i37] [i35] [i34] [j70] [j69] [c317] [c315] [c313] [c312] [c311] [c310] [c308] [c307] [c299] [c297] [c296] [c295] [i32] [i31] [i29] [i28] [i23] [i22] [i21] [i20] [i19] [i17] [c291] [c290] [c287] [c284] [c281] [c280] [p3] [i16] [i15] [i14] [i13] [j60] [c278] [c277] [c275] [c272] [j56] [j55] [j54] [j53] [j52] [c271] [c270] [c269] [c268] [c267] [c266] [c260] [i2] [j50] [j49] [c246] [c245] [c244] [c238] [c237] [c235] [c233] [c232] [j44] [c228] [c227] [c226] [c224] [c222] [j38] [c212] [c211] [c209] [c208] [c207] [c206] [c205] [c204] [c198] [c194] [p2] [p1] [j32] [c193] [c192] [c191] [c190] [c188] [c187] [c186] [c182] [c181] [c179] [c177] [j30] [c169] [c168] [c167] [c149] [c146] [c145] [c144] [j22] [c108] [c107] [c106] [c105] [c90] [c82]
[j125] [j124] [i98] [i97] [j119] [j117] [j116] [c343] [i94] [i93] [i89] [j114] [j112] [j110] [j107] [j106] [c340] [i85] [i82] [j102] [j101] [j100] [j99] [j96] [j95] [c338] [i73] [i72] [j91] [j85] [j82] [j81] [c333] [i65] [i64] [i60] [i57] [i55] [i53] [i52] [i51] [i48] [c330] [c324] [c320] [i46] [i39] [i38] [i37] [j70] [j69] [c317] [c312] [c311] [c299] [c297] [c295] [i32] [i31] [i29] [i28] [i23] [i19] [c291] [i16] [i15]
[j127] [j126] [j125] [j124] [j123] [i100] [i99] [i98] [i97] [i96] [j122] [j121] [j120] [j119] [j118] [j117] [j116] [c346] [c345] [c344] [c343] [i95] [i94] [i93] [i92] [i91] [i90] [i89] [i88] [j115] [j114] [j113] [j112] [j111] [j110] [j109] [j108] [j107] [j106] [j105] [j104] [c342] [c341] [c340] [c339] [i87] [i86] [i85] [i84] [i83] [i82] [i81] [j103] [j102] [j101] [j100] [j99] [j98] [j97] [j96] [j95] [c338] [c337] [c336] [c335] [i80] [i79] [i78] [i77] [i76] [i75] [i74] [i73] [i72] [i71] [i70] [i69] [j94] [j93] [j92] [j91] [j90] [j89] [j88] [j87] [j86] [j85] [j84] [j83] [j82] [j81] [c334] [c333] [c332] [c331] [p5] [i68] [i67] [i66] [i65] [i64] [i63] [i62] [i61] [i60] [i59] [i58] [i57] [i56] [i55] [i54] [i53] [i52] [i51] [i50] [i49] [i48] [j80] [j79] [j78] [j77] [j76] [j75] [c330] [c329] [c328] [c327] [c326] [c325] [c324] [c323] [c322] [c321] [c320] [c319] [c318] [p4] [i47] [i46] [i45] [i44] [i43] [i42] [i41] [i40] [i39] [i38] [i37] [i36] [i35] [i34] [j74] [j72] [j71] [j70] [j69] [j68] [c317] [c316] [c315] [c314] [c313] [c312] [c311] [c310] [c309] [c308] [c307] [c306] [c305] [c304] [c303] [c302] [c301] [c300] [c299] [c298] [c297] [c296] [c295] [i33] [i32] [i31] [i30] [i29] [i28] [i27] [i26] [i25] [i24] [i23] [i22] [i21] [i20] [i19] [i18] [i17] [j65] [j64] [j63] [c294] [c292] [c291] [c290] [c289] [c288] [c287] [c286] [c285] [c284] [c282] [c281] [c280] [c279] [p3] [i16] [i15] [i14] [i13] [i12] [i11] [i9] [i8] [j61] [j60] [j58] [c278] [c277] [c276] [c275] [c274] [c273] [c272] [i7] [i6] [i5] [i4] [j56] [j55] [j54] [j53] [j52] [c271] [c270] [c269] [c268] [c267] [c266] [c262] [c261] [c260] [c259] [c255] [c250] [i2] [j50] [j49] [j47] [c246] [c245] [c244] [c238] [c237] [c235] [c234] [c233] [c232] [j44] [j43] [c228] [c226] [c224] [c222] [c219] [c214] [j40] [j39] [j38] [c213] [c212] [c211] [c209] [c208] [c207] [c206] [c205] [c204] [c203] [c198] [c197] [c194] [p2] [p1] [j32] [c193] [c192] [c191] [c190] [c189] [c188] [c187] [c186] [c184] [c183] [c182] [c181] [c179] [c177] [j30] [c171] [c170] [c169] [c168] [c167] [c157] [c156] [c155] [c152] [c150] [c149] [c147] [c146] [c145] [c144] [c136] [j23] [c127] [c126] [c115] [c106] [c105] [c103] [c102] [c95] [c92] [c79] [c78]
Sabesan Sivipalan
aka: Sabesan Sivapalan
aka: Sabesan Sivapalan
[j125] [j123] [i100] [i96] [j121] [c346] [c345] [i94] [i92] [i87] [j103] [i80] [j88] [j83] [i50] [j78] [j75] [c329] [c327] [c321] [c318] [i42] [j74] [j72] [j68] [c309] [c308] [c306] [c303] [i33] [i27] [i25] [i24] [j63] [c286] [c284] [c282] [c279] [c276] [j52] [c262] [j44] [c209] [j32] [c177] [c157] [c152]
Robbie Vogt
aka: Robert Vogt
aka: Robert Vogt
Tim Wark
aka: Timothy Wark
aka: Timothy Wark
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