Number of items: 568.
2026
Dissanayake, Theekshana, George, Yasmeen, Mahapatra, Dwarikanath, Sridharan, Shridha, Fookes, Clinton, & Ge, Zongyuan
(2026)
Few-Shot Learning for Medical Image Segmentation: A Review and Comparative Study.
ACM Computing Surveys, 58(1), Article number: 11.
8
5
Hughes, Harry, Lucey, Patrick, Horton, Michael, Gammulle, Harshala, Fookes, Clinton, & Sridharan, Sridha
(2026)
Multimodal transformer-diffusion framework for large-scale reconstruction of soccer tracking data.
Computer Vision and Image Understanding, 264, Article number: 104626.
Nguyen, K., Liu, Feng, Fookes, C., Sridharan, S., Liu, Xiaoming, & Ross, Arun
(2026)
Person Recognition in Aerial Surveillance: A Decade Survey.
IEEE Transactions on Biometrics, Behavior, and Identity Science, 8(1), pp. 3-19.
2025
Nguyen, Huy, Nguyen, Kien, Pemasiri, Akila, Sridharan, Sridha, & Fookes, Clinton
(2025)
Beyond geometry: The power of texture in interpretable 3D person ReID.
Computer Vision and Image Understanding, 261, Article number: 104517.
Dissanayake, Nethmi, Fernando, Tharindu, Gunasekara, Aveesha, Sridharan, Sridha, & Fookes, Clinton
(2025)
Multi-resolution and Multi-modal Feature Integration using Graph Neural Networks for Optical Coherence Tomography Image Classification.
In
Proceedings - 2025 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
Institute of Electrical and Electronics Engineers Inc., United States of America, pp. 1-7.
Hughes, Harry, Horton, Michael, Wei, Xinyu, Gammulle, Harshala, Fookes, Clinton, Sridharan, Sridha, & Lucey, Patrick
(2025)
Event2Tracking: Reconstructing Multi-Agent Soccer Trajectories Using Long-Term Multimodal Context.
In
Walsh, Toby, Shah, Julie, & Kolter, Zico (Eds.) Proceedings of the 39th Annual AAAI Conference on Artificial Intelligence.
Association for the Advancement of Artificial Intelligence (AAAI) Press, United States of America, pp. 11843-11851.
2
Vidanapathirana, Kavisha, Knights, Joshua, Hausler, Stephen, Cox, Mark, Ramezani, Milad, Jooste, Jason, Griffiths, Ethan, Mohamed, Shaheer, Sridharan, Sridha, Fookes, Clinton, & Moghadam, Peyman
(2025)
WildScenes: A benchmark for 2D and 3D semantic segmentation in large-scale natural environments.
International Journal of Robotics Research, 44(4), 532–549.
10
10
Nguyen, Kien, Fookes, Clinton, Sridharan, Sridha, Nguyen, Huy, Liu, Feng, Liu, Xiaoming, Ross, Arun, Endrei, Tamas, Deandres-Tame, Ivan, Tolosana, Ruben, Vera-Rodriguez, Ruben, Morales, Aythami, Fierrez, Julian, Ortega-Garcia, Javier, Gong, Zijing, Wang, Yuhao, Liu, Xuehu, Zhang, Pingping, Rashidunnabi, Md, Proenca, Hugo, Hambarde, Kailash A., & Rezaei, Saeid
(2025)
AG-VPReID 2025: Aerial-Ground Video-based Person Re-identification Challenge Results.
In
Proceedings - 2025 IEEE International Joint Conference on Biometrics (IJCB).
Institute of Electrical and Electronics Engineers Inc., United States of America.
Nguyen, Huy, Nguyen, Kien, Pemasiri, Akila, Jahan, Akmal, Fookes, Clinton, & Sridharan, Sridha
(2025)
AG-VPReID.VIR: Bridging Aerial and Ground Platforms for Video-based Visible-Infrared Person Re-ID.
In
Proceedings - 2025 IEEE International Joint Conference on Biometrics (IJCB).
Institute of Electrical and Electronics Engineers Inc., United States of America, pp. 1-10.
Nguyen, Huy, Nguyen, Kien, Pemasiri, Akila, Liu, Feng, Sridharan, Sridha, & Fookes, Clinton
(2025)
AG-VPReID: A Challenging Large-Scale Benchmark for Aerial-Ground Video-based Person Re-Identification.
In
Proceedings of the 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Institute of Electrical and Electronics Engineers Inc., United States of America, pp. 1241-1251.
Mohamed, Shaheer, Fernando, Tharindu, Sridharan, Sridha, Moghadam, Peyman, & Fookes, Clinton
(2025)
Dual-Domain Masked Image Modeling: A Self-Supervised Pretraining Strategy Using Spatial and Frequency Domain Masking for Hyperspectral Data.
In
Proceedings - IGARSS 2025 IEEE International Geoscience and Remote Sensing Symposium.
Institute of Electrical and Electronics Engineers Inc., United States of America, pp. 2440-2444.
1
Kieu, Nhi, Nguyen, Kien, Wiliem, Arnold, Fookes, Clinton, & Sridharan, Sridha
(2025)
Filling the Gaps: A Multitask Hybrid Multiscale Generative Framework for Missing Modality in Remote Sensing Semantic Segmentation.
In
Proceedings - 2025 International Conference on Digital Image Computing: Techniques and Applications (DICTA).
Institute of Electrical and Electronics Engineers Inc., United States of America, pp. 34-41.
Mahendren, Sutharsan, Rahman, Saimunur, Koniusz, Piotr, Fernando, Tharindu, Sridharan, Sridha, Fookes, Clinton, & Moghadam, Peyman
(2025)
Point-PNG: Conditional Pseudo-Negatives Generation for Point-Cloud Pre-Training.
IEEE Access, 13, pp. 208612-208625.
Fernando, Tharindu, Gammulle, Harshala, Sridharan, Sridha, Denman, Simon, & Fookes, Clinton
(2025)
Remembering What Is Important: A Factorised Multi-Head Retrieval and Auxiliary Memory Stabilisation Scheme for Human Motion Prediction.
IEEE Transactions on Pattern Analysis and Machine Intelligence, 47(3), pp. 1941-1957.
56
1
2024
Kieu, Nhi, Nguyen, Kien, Nazib, Abdullah, Fernando, Tharindu, Fookes, Clinton, & Sridharan, Sridha
(2024)
Multimodal Co-Learning Meets Remote Sensing: Taxonomy, State of the Art, and Future Works.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 17, Article number: 10474099 7386-7409.
27
23
Knights, Joshua, Hausler, Stephen, Sridharan, Sridha, Fookes, Clinton, & Moghadam, Peyman
(2024)
GeoAdapt: Self-Supervised Test-Time Adaptation in LiDAR Place Recognition Using Geometric Priors.
IEEE Robotics and Automation Letters, 9(1), Article number: 3337698 915-922.
8
8
Nguyen, Dung, Nguyen, Duc Thanh, Sridharan, Sridha, Abdelrazek, Mohamed, Denman, Simon, Tran, Son N., Zeng, Rui, & Fookes, Clinton
(2024)
Deep cross-domain transfer for emotion recognition via joint learning.
Multimedia Tools and Applications, 83(8), pp. 22455-22472.
6
3
Mohamed, Shaheer, Haghighat, Maryam, Fernando, Tharindu, Sridharan, Sridha, Fookes, Clinton, & Moghadam, Peyman
(2024)
FactoFormer: Factorized Hyperspectral Transformers with Self-Supervised Pre-Training.
IEEE Transactions on Geoscience and Remote Sensing, 62, Article number: 5501614.
31
28
Ranasingha, Chinthaka, Gammulle, Harshala, Fernando, Tharindu, Sridharan, Sridha, & Fookes, Clinton
(2024)
Physics Augmented Tuple Transformer for Autism Severity Level Detection.
IEEE Sensors Journal, 24(23), pp. 39981-39991.
4
2
Mohamed, Shaheer, Fernando, Tharindu, Sridharan, Sridha, Moghadam, Peyman, & Fookes, Clinton
(2024)
Spectral-Enhanced Transformers: Leveraging Large-Scale Pretrained Models for Hyperspectral Object Tracking.
In
Proceedings of the 2024 14th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS).
Institute of Electrical and Electronics Engineers Inc., United States of America.
1
2023
Dissanayake, Theekshana, Fernando, Tharindu, Denman, Simon, Sridharan, Sridha, & Fookes, Clinton
(2023)
DConv-LSTM-Net: A Novel Architecture for Single and 12-Lead ECG Anomaly Detection.
IEEE Sensors Journal, 23(19), pp. 22763-22776.
7
5
Dissanayake, Theekshana, Fernando, Tharindu, Denman, Simon, Sridharan, Sridha, & Fookes, Clinton
(2023)
Multi-stage stacked temporal convolution neural networks (MS-S-TCNs) for biosignal segmentation and anomaly localization.
Pattern Recognition, 139, Article number: 109440.
16
11
Nguyen, Dung, Nguyen, Duc Thanh, Sridharan, Sridha, Denman, Simon, Nguyen, Thanh Thi, Dean, David, & Fookes, Clinton
(2023)
Meta-transfer learning for emotion recognition.
Neural Computing and Applications, 35(14), pp. 10535-10549.
24
13
Dissanayake, Theekshana, Fernando, Tharindu, Denman, Simon, Sridharan, Sridha, & Fookes, Clinton
(2023)
Generalized Generative Deep Learning Models for Biosignal Synthesis and Modality Transfer.
IEEE Journal of Biomedical and Health Informatics, 27(2), pp. 968-979.
27
Nguyen, Kien, Fookes, Clinton, Sridharan, Sridha, Liu, Feng, Liu, Xiaoming, Ross, Arun, Michalski, Dana, Nguyen, Huy, Deb, Debayan, Kothari, Mahak, Saini, Manisha, Du, Dawei, McCloskey, Scott, Bertocco, Gabriel, Andalo, Fernanda, Boult, Terrance E., Rocha, Anderson, Zhu, Haidong, Zheng, Zhaoheng, Nevatia, Ram, Randhawa, Zaigham, Sabri, Sinan, & Doretto, Gianfranco
(2023)
AG-ReID 2023: Aerial-Ground Person Re-identification Challenge Results.
In
Proceedings of the 2023 IEEE International Joint Conference on Biometrics (IJCB).
Institute of Electrical and Electronics Engineers Inc., United States of America.
Priyasad, Darshana, Fernando, Tharindu, Sridharan, Sridha, Denman, Simon, & Fookes, Clinton
(2023)
Dual Memory Fusion for Multimodal Speech Emotion Recognition.
In
Proceedings of Interspeech 2023.
International Speech and Communication Association (ISCA), France, pp. 4543-4547.
21
19
Fernando, Tharindu, Fookes, Clinton, Gammulle, Harshala, Denman, Simon, & Sridharan, Sridha
(2023)
Toward On-Board Panoptic Segmentation of Multispectral Satellite Images.
IEEE Transactions on Geoscience and Remote Sensing, 61, Article number: 5402312.
Knights, Joshua, Vidanapathirana, Kavisha, Ramezani, Milad, Sridharan, Sridha, Fookes, Clinton, & Moghadam, Peyman
(2023)
Wild-Places: A Large-Scale Dataset for Lidar Place Recognition in Unstructured Natural Environments.
In
Proceedings of the 2023 IEEE International Conference on Robotics and Automation (ICRA).
Institute of Electrical and Electronics Engineers Inc., United States of America, pp. 11322-11328.
42
35
2022
Tursun, Osman, Denman, Simon, Sridharan, Sridha, & Fookes, Clinton
(2022)
SESS: Saliency Enhancing with Scaling and Sliding.
In
Avidan, Shai, Brostow, Gabriel, Cisse, Moustapha, Farinella, Giovanni Maria, & Hassner, Tal (Eds.) Computer Vision - ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part XII.
Springer, Cham, Switzerland, pp. 318-333.
Fernando, Tharindu, Gammulle, Harshala, Denman, Simon, Sridharan, Sridha, & Fookes, Clinton
(2022)
Deep Learning for Medical Anomaly Detection: A Survey.
ACM Computing Surveys, 54(7), Article number: 141.
336
258
Priyasad, Darshana, Fernando, Tharindu, Denman, Simon, Sridharan, Sridha, & Fookes, Clinton
(2022)
Affect recognition from scalp-EEG using channel-wise encoder networks coupled with geometric deep learning and multi-channel feature fusion.
Knowledge-Based Systems, 250, Article number: 109038.
47
43
Fernando, Tharindu, Sridharan, Sridha, Denman, Simon, Ghaemmaghami, Houman, & Fookes, Clinton
(2022)
Robust and Interpretable Temporal Convolution Network for Event Detection in Lung Sound Recordings.
IEEE Journal of Biomedical and Health Informatics, 26(7), pp. 2898-2908.
43
30
Tursun, Osman, Denman, Simon, Sridharan, Sridha, Goan, Ethan, & Fookes, Clinton
(2022)
An efficient framework for zero-shot sketch-based image retrieval.
Pattern Recognition, 126, Article number: 108528.
Park, Chanoh, Moghadam, Peyman, Williams, Jason, Kim, Soohwan, Sridharan, Sridha, & Fookes, Clinton
(2022)
Elasticity Meets Continuous-Time: Map-Centric Dense 3D LiDAR SLAM.
IEEE Transactions on Robotics, 38(2), pp. 978-997.
53
50
Jain, Monika, Tyagi, Arjun, Subramanyam, A. V., Denman, Simon, Sridharan, Sridha, & Fookes, Clinton
(2022)
Channel Graph Regularized Correlation Filters for Visual Object Tracking.
IEEE Transactions on Circuits and Systems for Video Technology, 32(2), 715 - 729.
26
25
Thilakasiri Dissanayakage, Pubudu Theekshana Dissanayake, Warnakulasuriya, Tharindu Fernando, Denman, Simon, Sridharan, Sridha, & Fookes, Clinton
(2022)
Geometric Deep Learning for Subject Independent Epileptic Seizure Prediction using Scalp EEG Signals.
IEEE Journal of Biomedical and Health Informatics, 26(2), pp. 527-538.
Tursun, Osman, Denman, Simon, Sivapalan, Sabesan, Sridharan, Sridha, Fookes, Clinton, & Mau, Sandra
(2022)
Component-based Attention for Large-scale Trademark Retrieval.
IEEE Transactions on Information Forensics and Security, 17, pp. 2350-2363.
Nguyen, Dung, Nguyen, Duc Thanh, Zeng, Rui, Nguyen, Thanh Thi, Tran, Son N., Nguyen, Thin, Sridharan, Sridha, & Fookes, Clinton
(2022)
Deep Auto-Encoders With Sequential Learning for Multimodal Dimensional Emotion Recognition.
IEEE Transactions on Multimedia, 24, pp. 1313-1324.
49
45
Priyasad, Darshana, Partovi, Andi, Sridharan, Sridha, Kashefpoor, Maryam, Fernando, Tharindu, Denman, Simon, Fookes, Clinton, Tang, Jia, & Kaye, David
(2022)
Detecting Heart Failure Through Voice Analysis using Self-Supervised Mode-Based Memory Fusion.
In
Proceedings of the 23rd INTERSPEECH Conference.
International Speech Communication Association, France, pp. 2848-2852.
Knights, Joshua, Moghadam, Peyman, Ramezani, Milad, Sridharan, Sridha, & Fookes, Clinton
(2022)
InCloud: Incremental Learning for Point Cloud Place Recognition.
In
Proceedings of the 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Institute of Electrical and Electronics Engineers Inc., United States of America, pp. 8559-8566.
32
32
Vidanapathirana, Kavisha, Ramezani, Milad, Moghadam, Peyman, Sridharan, Sridha, & Fookes, Clinton
(2022)
LoGG3D-Net: Locally Guided Global Descriptor Learning for 3D Place Recognition.
In
Proceedings of the 39th IEEE International Conference on Robotics and Automation (ICRA 2022).
Institute of Electrical and Electronics Engineers Inc., United States of America, pp. 2215-2221.
2021
Priyasad, Darshana, Fernando, Tharindu, Denman, Simon, Sridharan, Sridha, & Fookes, Clinton
(2021)
Interpretable Seizure Classification Using Unprocessed EEG with Multi-Channel Attentive Feature Fusion.
IEEE Sensors Journal, 21(17), pp. 19186-19197.
40
32
Gammulle, Harshala, Fernando, Tharindu, Sridharan, Sridha, Denman, Simon, & Fookes, Clinton
(2021)
Multi-slice net: A novel light weight framework for COVID-19 diagnosis.
In
Proceedings of the 2021 IEEE International Conference on Autonomous Systems (ICAS).
Institute of Electrical and Electronics Engineers Inc., United States of America.
4
Dissanayake, Theekshana, Fernando, Tharindu, Denman, Simon, Ghaemmaghami, Houman, Sridharan, Sridha, & Fookes, Clinton
(2021)
Domain Generalization in Biosignal Classification.
IEEE Transactions on Biomedical Engineering, 68(6), pp. 1978-1989.
Dissanayake, Theekshana, Fernando, Tharindu, Denman, Simon, Sridharan, Sridha, Ghaemmaghami, Houman, & Fookes, Clinton
(2021)
A Robust Interpretable Deep Learning Classifier for Heart Anomaly Detection without Segmentation.
IEEE Journal of Biomedical and Health Informatics, 25(6), pp. 2162-2171.
Dissanayake, Theekshana, Fernando, Tharindu, Denman, Simon, Sridharan, Sridha, & Fookes, Clinton
(2021)
Deep Learning for Patient-Independent Epileptic Seizure Prediction Using Scalp EEG Signals.
IEEE Sensors Journal, 21(7), pp. 9377-9388.
Priyasad, Darshana, Fernando, Tharindu, Denman, Simon, Sridharan, Sridha, & Fookes, Clinton
(2021)
Memory based fusion for multi-modal deep learning.
Information Fusion, 67, pp. 136-146.
Jain, Monika, Subramanyam, A V, Denman, Simon, Sridharan, Sridha, & Fookes, Clinton
(2021)
IGSSTRCF: Importance Guided Sparse Spatio-Temporal Regularized Correlation Filters For Tracking.
In
Proceedings of the 2021 IEEE Winter Conference on Applications of Computer Vision (WACV).
Institute of Electrical and Electronics Engineers Inc., United States of America, pp. 2774-2783.
Ahmedt Aristizabal, David, Fernando, Tharindu, Denman, Simon, Robinson, Jonathan Edward, Sridharan, Sridha, Johnston, Patrick J, Laurens, Kristin R, & Fookes, Clinton
(2021)
Identification of children at risk of schizophrenia via deep learning and EEG responses.
IEEE Journal of Biomedical and Health Informatics, 25(1), Article number: 9070217 69-76.
Vidanapathirana, Kavisha, Moghadam, Peyman, Harwood, Ben, Zhao, Muming, Sridharan, Sridha, & Fookes, Clinton
(2021)
Locus: LiDAR-based Place Recognition using Spatiotemporal Higher-Order Pooling.
In
Proceedings of the 2021 IEEE International Conference on Robotics and Automation (ICRA 2021).
Institute of Electrical and Electronics Engineers Inc., United States of America, pp. 5075-5081.
Mahendren, Sutharsan, Fernando, Tharindu, Sridharan, Sridha, Moghadam, Peyman, & Fookes, Clinton
(2021)
Reduction of Feature Contamination for Hyper Spectral Image Classification.
In
Zhou, Jun, Salvado, Olivier, Sohel, Ferdous, Borges, Paulo Vinicius K., & Wang, Shilin (Eds.) Proceedings of the 2021 International Conference on Digital Image Computing: Techniques and Applications.
Institute of Electrical and Electronics Engineers Inc., United States of America, pp. 49-56.
123
2
2020
Tursun, Osman, Denman, Simon, Zeng, Rui, Sivapalan, Sabesan, Sridharan, Sridha, & Fookes, Clinton
(2020)
MTRNet++: One-stage mask-based scene text eraser.
Computer Vision and Image Understanding, 201, Article number: 103066.
Fernando, Tharindu, Denman, Simon, Ahmedt-Aristizabal, David, Sridharan, Sridha, Laurens, Kristin R., Johnston, Patrick, & Fookes, Clinton
(2020)
Neural memory plasticity for medical anomaly detection.
Neural Networks, 127, pp. 67-81.
Warnakulasuriya, Tharindu, Ghaemmaghami, Houman, Denman, Simon, Sridharan, Sridha, Hussain, Nayyar, & Fookes, Clinton
(2020)
Heart Sound Segmentation using Bidirectional LSTMs with Attention.
IEEE Journal of Biomedical and Health Informatics, 24(6), Article number: 8883031 1601-1609.
89
63
Jain, Monika, Subramanyam, A. V., Denman, Simon, Sridharan, Sridha, & Fookes, Clinton
(2020)
LSTM guided ensemble correlation filter tracking with appearance model pool.
Computer Vision and Image Understanding, 195, Article number: 102935.
Madduma Kankanamalage Don, Darshana Priyasad, Warnakulasuriya, Tharindu Fernando, Denman, Simon, Sridharan, Sridha, & Fookes, Clinton
(2020)
Attention driven fusion for multi-modal emotion recognition.
In
Proceedings of ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Institute of Electrical and Electronics Engineers Inc., United States of America, pp. 3227-3231.
Warnakulasuriya, Tharindu, Sridharan, Sridha, McLaren, Mitchell, Madduma Kankanamalage Don, Darshana Priyasad, Denman, Simon, & Fookes, Clinton
(2020)
Temporarily-Aware Context Modeling Using Generative Adversarial Networks for Speech Activity Detection.
IEEE Transactions on Audio, Speech and Language Processing, 28, Article number: 9044780 1159-1169.
Park, Chanoh, Moghadam, Peyman, Kim, Soohwan, Sridharan, Sridha, & Fookes, Clinton
(2020)
Spatiotemporal camera-LiDAR calibration: A targetless and structureless approach.
IEEE Robotics and Automation Letters, 5(2), Article number: 8968361 1556-1563.
Rahman, Mohammad Mahfujur, Fookes, Clinton, Baktashmotlagh, Mahsa, & Sridharan, Sridha
(2020)
On Minimum Discrepancy Estimation for Deep Domain Adaptation.
In
Singh, Richa, Vatsa, Mayank, Patel, Vishal M., & Ratha, Nalini (Eds.) Domain Adaptation for Visual Understanding.
Springer, Switzerland, pp. 81-94.
76
Zeng, Rui, Ge, Zongyuan, Denman, Simon, Sridharan, Sridha, & Fookes, Clinton
(2020)
Geometry-constrained car recognition using a 3D perspective network.
In
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence.
Association for the Advancement of Artificial Intelligence (AAAI) Press, United States of America, pp. 1161-1168.
153
4
Thanikasalam, Kokul, Fookes, Clinton, Sridharan, Sridha, Ramanan, Amirthalingam, & Pinidiyaarachchi, Amalka
(2020)
Target-specific Siamese attention network for real-time object tracking.
IEEE Transactions on Information Forensics and Security, 15, Article number: 8804242 1276-1289.
Gammulle, Harshala, Denman, Simon, Sridharan, Sridha, & Fookes, Clinton
(2020)
Two-stream deep feature modelling for automated video endoscopy data analysis.
In
Martel, Anne L., Abolmaesumi, Purang, Stoyanov, Danail, Mateus, Diana, Zuluaga, Maria A., Zhou, S. Kevin, et al. (Eds.) Medical Image Computing and Computer Assisted Intervention - MICCAI 2020: 23rd International Conference, Proceedings, Part III.
Springer, Switzerland, pp. 742-751.
120
16
2019
Ahmedt Aristizabal, David, Denman, Simon, Nguyen Thanh, Kien, Sridharan, Sridha, Dionisio, Sasha, & Fookes, Clinton
(2019)
Understanding patients' behavior: Vision-based analysis of seizure disorders.
IEEE Journal of Biomedical and Health Informatics, 23(6), Article number: 8629065 2583-2591.
Tursun, Osman, Zeng, Rui, Denman, Simon, Sivapalan, Sabesan, Sridharan, Sridha, & Fookes, Clinton
(2019)
MTRNet: A Generic Scene Text Eraser.
In
Proceedings - 15th IAPR International Conference on Document Analysis and Recognition, ICDAR 2019.
Institute of Electrical and Electronics Engineers (IEEE), United States of America, pp. 39-44.
91
55
Ahmedt-Aristizabal, David, Nguyen, Kien, Denman, Simon, Sarfraz, M. Saquib, Sridharan, Sridha, Dionisio, Sasha, & Fookes, Clinton
(2019)
Vision-based mouth motion analysis in epilepsy: A 3D perspective.
In
Proceedings of the 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2019).
Institute of Electrical and Electronics Engineers Inc., United States of America, pp. 1625-1629.
Rahman, Md Hafizur, Himawan, Ivan, Sridharan, Sridha, & Fookes, Clinton
(2019)
Investigating domain sensitivity of DNN embeddings for speaker recognition systems.
In
Sanei, S & Hanzo, L (Eds.) Proceedings of the ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Institute of Electrical and Electronics Engineers Inc., United States of America, pp. 5811-5815.
3
1
Park, Chanoh, Kim, Soohwan, Moghadam, Peyman, Guo, Jiadong, Sridharan, Sridha, & Fookes, Clinton
(2019)
Robust photogeometric localization over time for map-centric loop closure.
IEEE Robotics and Automation Letters, 4(2), Article number: 8626520 1768-1775.
Pemasiri, Akila, Ahmedt-Aristizabal, David, Nguyen, Kien, Sridharan, Sridha, Dionisio, Sasha, & Fookes, Clinton
(2019)
Semantic segmentation of hands in multimodal images: A region new-based CNN approach.
In
Proceedings of the 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).
Institute of Electrical and Electronics Engineers Inc., United States of America, pp. 819-823.
128
4
Gammulle, Pranali Harshala, Warnakulasuriya, Tharindu, Denman, Simon, Sridharan, Sridha, & Fookes, Clinton
(2019)
Coupled generative adversarial network for continuous fine-grained action segmentation.
In
Liu, Y, Brown, M, & Milanfar, P (Eds.) Proceedings of the 2019 IEEE Winter Conference on Applications of Computer Vision (WACV).
Institute of Electrical and Electronics Engineers Inc., United States of America, pp. 200-209.
Ahmedt Aristizabal, David, Fookes, Clinton, Denman, Simon, Nguyen Thanh, Kien, Sridharan, Sridha, & Dionisio, Sasha
(2019)
Aberrant epileptic seizure identification: A computer vision perspective.
Seizure : the journal of the British Epilepsy Association, 65, pp. 65-71.
Warnakulasuriya, Tharindu, Denman, Simon, Sridharan, Sridha, & Fookes, Clinton
(2019)
GD-GAN: Generative adversarial networks for trajectory prediction and group detection in crowds.
In
Schindler, Konrad, Li, Hongdong, Mori, Greg, & Jawahar, C.V. (Eds.) Computer Vision - ACCV 2018: 14th Asian Conference on Computer Vision, Revised Selected Papers, Part I (Lecture Notes in Computer Science, Volume 11361).
Springer, Switzerland, pp. 314-330.
Kaesemodel Pontes, Jhony, Kong, Chen, Sridharan, Sridha, Lucey, Simon, Eriksson, Anders, & Fookes, Clinton
(2019)
Image2Mesh: A learning framework for single image 3D reconstruction.
In
Schindler, Konrad, Jawahar, C.V., Li, Hongdong, & Mori, Greg (Eds.) Computer Vision - ACCV 2018: 14th Asian Conference on Computer Vision, Revised Selected Papers, Part I (Lecture Notes in Computer Science, Volume 11361).
Springer, Switzerland, pp. 365-381.
Jack, Dominic, Kaesemodel Pontes, Jhony, Sridharan, Sridha, Fookes, Clinton, Rowlands, Sareh, Maire, Frederic, & Eriksson, Anders
(2019)
Learning free-form deformations for 3D object reconstruction.
In
Jawahar, C.V., Li, Hongdong, Mori, Greg, & Schindler, Konrad (Eds.) Computer Vision - ACCV 2018: 14th Asian Conference on Computer Vision, Revised Selected Papers, Part II (Lecture Notes in Computer Science, Volume 11362).
Springer, Switzerland, pp. 317-333.
Gammulle, Pranali Harshala, Denman, Simon, Sridharan, Sridha, & Fookes, Clinton
(2019)
Multi-level sequence GAN for group activity recognition.
In
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Deep facial analysis: A new phase I epilepsy evaluation using computer vision.
Epilepsy and Behavior, 82, pp. 17-24.
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A hierarchical multimodal system for motion analysis in patients with epilepsy.
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Automated analysis of seizure semiology and brain electrical activity in presurgery evaluation of epilepsy: A focused survey.
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From affine rank minimization solution to sparse modeling.
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Going deeper: Autonomous steering with neural memory networks.
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Locating people in surveillance video using soft biometric traits.
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Long range iris recognition: A survey.
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Park, Chanoh, Kim, Soohwan, Moghadam, Peyman, Fookes, Clinton, & Sridharan, Sridha
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Probabilistic surfel fusion for dense LiDAR mapping.
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Single image depth prediction using super-column super-pixel features.
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Two stream LSTM: A deep fusion framework for human action recognition.
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Using synthetic data to improve facial expression analysis with 3D convolutional networks.
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A cascaded long short-term memory (LSTM) driven generic visual question answering (VQA).
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A study on the effects of using short utterance length development data in the design of GPLDA speaker verification systems.
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Complex event detection using joint max margin and semantic features.
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Discovering team structures in soccer from spatiotemporal data.
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Discovery of facial motions using deep machine perception.
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Speakers In The Wild (SITW): The QUT speaker recognition system.
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Vertical axis detection for sport video analytics.
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A robust UAV landing site detection system using mid-level discriminative patches.
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Acoustic adaptation in cross database audio visual SHMM training for phonetic spoken term detection.
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Automatic surveillance in transportation hubs: No longer just about catching the bad guy.
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Himawan, Ivan, Motlicek, Petr, Sridharan, Sridha, Dean, David, & Tjondronegoro, Dian
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Channel selection in the short-time modulation domain for distant speech recognition.
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Class-specific sparse codes for representing activities.
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Combat sports analytics: Boxing punch classification using overhead depthimagery.
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Discovering methods of scoring in soccer using tracking data.
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Investigating in-domain data requirements for PLDA training.
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Denman, Simon, Fookes, Clinton, Ryan, David, & Sridharan, Sridha
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Large scale monitoring of crowds and building utilisation: A new database and distributed approach.
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Learning detectors quickly with stationary statistics.
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Predicting serves in tennis using style priors.
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The QUT-NOISE-SRE protocol for the evaluation of noisy speaker recognition.
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Robust automatic face clustering in news video.
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Score-level multibiometric fusion based on Dempster-Shafer Theory incorporating uncertainty factors.
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Searching for semantic person queries using channel representations.
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A cluster-voting approach for speaker diarization and linking of Australian broadcast news recordings.
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An evaluation of crowd counting methods, features and regression models.
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Airports of the future: improving operation, security and experience.
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Analyzing and predicting events in soccer and tennis using spatiotemporal data.
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Automatic UAV forced landing site detection using machine learning.
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I-vector based speaker recognition using advanced channel compensation techniques.
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Bialkowski, Alina, Lucey, Patrick, Carr, Peter, Yue, Yisong, Sridharan, Sridha, & Matthews, Iain
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Identifying team style in soccer using formations learned from spatiotemporal tracking data.
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Improving short utterance i-vector speaker verification using utterance variance modelling and compensation techniques.
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Large-scale analysis of soccer matches using spatiotemporal tracking data.
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Local inter-session variability modelling for object classification.
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Locating people in video from semantic descriptions: a new database and approach.
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An MRF based abnormal event detection approach using motion and appearance features.
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Multiple instance dictionary learning for activity representation.
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Phonetic spoken term search using topic information.
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Predicting movie ratings from audience behaviors.
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Real-time video event detection in crowded scenes using MPEG derived features: A multiple instance learning approach.
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Bialkowski, Alina, Lucey, Patrick, Carr, Peter, Sridharan, Sridha, & Matthews, Iain
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Representing team behaviours from noisy data using player role.
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Rescaling clustering trees using impact ratios for robust hierarchical speaker clustering.
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SAIVT-ADMRG @ MediaEval 2014 Social Event Detection.
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Social signal processing for pain monitoring using a hidden conditional random field.
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Supervised latent dirichlet allocation models for efficient activity representation.
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Topic dependent language modelling for spoken term detection.
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Understanding and analyzing a large collection of archived swimming videos.
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An iterative speaker re-diarization scheme for improving speaker-based entity extraction in multimedia archives.
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Cheng, Xin, Fookes, Clinton, Sridharan, Sridha, Saragih, Jason, & Lucey, Simon
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Deformable face ensemble alignment with robust grouped-L1 anchors.
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Detecting anomalous events at railway level crossings.
Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 227(5), pp. 539-553.
Sivapalan, Sivapalan, Chen, Daniel, Denman, Simon, Sridharan, Sridha, & Fookes, Clinton
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Histogram of weighted local directions for gait recognition.
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Denman, Simon, Lin, Frank, Chandran, Vinod, Sridharan, Sridha, & Fookes, Clinton
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Improved subject identification in surveillance video using super resolution.
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Improving short utterance based I-vector speaker recognition using source and utterance-duration normalization techniques.
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Wei, Xinyu, Sha, Long, Lucey, Patrick, Morgan, Stuart, & Sridharan, Sridha
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Large-scale analysis of formations in soccer.
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Liveness detection based on 3D face shape analysis.
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Person re-identification using group information.
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Predicting shot locations in tennis using spatiotemporal data.
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Quality based frame selection for face clustering in news video.
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Rank minimization across appearance and shape for AAM ensemble fitting.
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Recognising team activities from noisy data.
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Semi-binary based video features for activity representation.
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Speaker attribution of Australian broadcast news data.
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Swimmer localization from a moving camera.
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Visual front-end wars: Viola-Jones face detector vs Fourier Lucas-Kanade.
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An analysis of the KEEP CLEAR pavement markings effects on queuing vehicles dynamic performance at urban signalised intersections.
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An evaluation of different features and learning models for anomalous event detection.
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Activity analysis in complicated scenes using DFT coefficients of particle trajectories.
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Anchored deformable face ensemble alignment.
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Anomalous event detection using a semi-two dimensional hidden Markov model.
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Can you describe him for me? A technique for semantic person search in video.
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Efficient articulated trajectory reconstruction using dynamic programming and filters.
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Efficient real-time face detection for high resolution surveillance applications.
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Feature-domain super-resolution framework for Gabor-based face and iris recognition.
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Identifying customer behaviour and dwell time using soft biometrics.
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Improved facial expression recognition via uni-hyperplane classification.
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Assessment of speech dialog systems using multi-modal cognitive load analysis and driving performance metrics.
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Automatically detecting action units from faces of pain: comparing shape and appearance features.
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Camera calibration in wireless multimedia sensor networks.
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Crowd counting using multiple local features.
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Data-driven impostor selection for T-norm score normalisation and the background dataset in SVM-based speaker verification.
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Dense correspondence extraction in difficult uncalibrated scenarios.
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Dynamic performance measures for object tracking systems.
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Likelihood-maximising frameworks for enhanced in-car speech recognition.
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Soft-biometrics: unconstrained authentication in a surveillance environment.
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The effect of language models on phonetic decoding for spoken term detection.
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Abandoned object detection using multi-layer motion detection.
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Automatic audio segmentation using the Generalized Likelihood Ratio.
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Comparing object alignment algorithms with appearance variation: forward-additive vs inverse-composition.
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A Continuous Speech Recognition Evaluation Protocol for the AVICAR Database.
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Dealing with uncertainty in microphone placement in a microphone array speech recognition system.
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Factor analysis subspace estimation for speaker verification with short utterances.
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Ground-plane based projective reconstruction for surveillance camera networks.
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Improved GrabCut segmentation via GMM optimisation.
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Improving pain recognition through better utilisation of temporal information.
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Least squares congealing for unsupervised alignment of images.
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Making confident speaker verification decisions with minimal speech.
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Multi-sensor tracking using a scalable condensation filter.
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Multi-view human pose estimation using modified five-point skeleton model.
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Normalisation and recognition of 3D face data using robust hausdorff metric.
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Normalisation of 3D face data.
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Object tracking using multiple motion modalities.
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Patch-based analysis of visual speech from multiple views.
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Scene invariant crowd counting for real-time surveillance.
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Speech endpoint detection using gradient based edge detection techniques.
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A feature clustering algorithm for scale-space analysis of image structures.
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A study of phonetic feature representations for SVM-based speaker verification.
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Automatic Tracking, Super-Resolution and Recognition of Human Faces from Surveillance Video.
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A Comparison of Session Variability Compensation Techniques for SVM-Based Speaker Recognition.
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An Extended Pose-Invariant Lipreading System.
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Fused HMM-Adaptation of Multi-Stream HMMs for Audio-Visual Speech Recognition.
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A Phonetic Search Approach to the 2006 NIST Spoken Term Detection Evaluation.
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Weighting and Normalisation of Synchronous HMMs for Audio-Visual Speech Recognition.
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Combined 2D/3D Face Recognition Using Log-Gabor Templates.
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Feature Modelling of PCA Difference Vectors for 2D and 3D Face Recognition.
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Human Face Reconstruction Using Bayesian Deformable Models.
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A Multi-Class Tracker Using a Scalable Condensation Filter.
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Multi-View Intelligent Vehicle Surveillance System.
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On the Performance and Use of Speaker Recognition Systems for Surveillance.
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The Role of Motion Models in Super-Resolving Surveillance Video for Face Recognition.
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Dean, David, Lucey, Patrick, & Sridharan, Subramanian
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Audio-Visual Speaker Identification using the CUAVE Database.
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Comparing Audio and Visual Information for Speech Processing.
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Data-Driven Clustering for Blind Feature Mapping in Speaker Verification.
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Gabor Filter Bank Representation for 3D Face Recognition.
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Integration Strategies for Audio-Visual Speech Processing: Applied to Text-Dependent Speaker Recognition,.
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Investigation into Optical Flow Super-Resolution for Surveillance Applications.
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Modelling Session Variability in Text-Independent Speaker Verification.
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Object Recognition using Stereo Vision and Higher Order Spectra.
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Person Tracking Using Motion Detection and Optical Flow.
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Problems Associated with Current Area-Based Visual Speech Feature Extraction Techniques.
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Tracking People in 3D Using Position, Size and Shape.
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Using a Free-Parts Representation for Visual Speech Recognition.
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3D Face Acquisition, Modelling and Recognition.
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An Application of Fractal Image-Set Coding in Facial Recognition.
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Bayes factor scoring of GMMs for speaker verification.
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Confusability of Phonemes Grouped According to their Viseme Classes in Noisy Environments.
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Face Recognition from 3D Data Using Iterative Closest Point Algorithm and Gaussian Mixture Models.
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Face authentication test on the BANCA database.
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Frame-Weighted Bayes Factor Scoring for Speaker Verification.
In
Cox, F, Cassidy, S, Mannell, R, & Palethorpe, S (Eds.) Proceedings of the 10th Australian International Conference on Speech Science and Technology.
Australian Speech Science and Technology Association Inc, Canberra, ACT, pp. 404-409.
Nguyen, Anthony, Chandran, Vinod, & Sridharan, Subramanian
(2004)
GAZEJ2K - a gaze-influenced JPEG 2000 image coder.
In
Wysocki, B & Wysocki, T (Eds.) The 3rd Workshop on the Internet, Telecommunications and Signal Processing.
CD-ROM, Australia, pp. 18-23.
Maeder, Anthony, Fookes, Clinton, & Sridharan, Subramanian
(2004)
Gaze Based User Authentication for Personal Computer Applications.
In
Lam, K (Ed.) Proceeding of the 2004 International Symposium on Intelligent Multimedia, Video and Speech Processing (ISIMP 2004).
Institute of Electrical and Electronics Engineers Inc., New Jersey, USA, pp. 727-730.
Baker, Brendan, Vogt, Robert, Mason, Michael, & Sridharan, Subramanian
(2004)
Improved Phonetic and Lexical Speaker Recognition through MAP Adaptation.
In
Garcia, J, Bimbot, F, & Rodriguez, J (Eds.) Proceedings of Odyssey 2004 - The Speaker and Language Recognition Workshop.
Publidisa, Spain, pp. 91-96.
303
Lowther, Scott, McCool, Christopher, Chandran, Vinod, & Sridharan, Subramanian
(2004)
Improving Face Localisation using Claimed Identity for Face Verification.
In
Wysocki, B & Wosocki, T (Eds.) Proceedings of the 3rd Workshop on the Internet, Telecommunications and Signal Processing (WITSP 2004).
DSP for Communication Systems, CD ROM, pp. 13-17.
Denman, Simon, Butler, Darren, Sridharan, Subramanian, & Chandran, Vinod
(2004)
Infra-red Pupil Detection for Use in a Face Recognition System.
In
Wysocki, T (Ed.) The Proceedings of the 3rd Workshop on the Internet, Telecommunications and Signal Processing.
CD-ROM, Adelaide, SA, pp. 414-419.
184
Busch, Andrew, Boles, Wageeh, & Sridharan, Subramanian
(2004)
Logarithmic Quantisation of Wavelet Coefficients for Improved Texture Classification Performance.
In
Deng, L & Kabal, P (Eds.) Proceedings of International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2004.
IEEE Signal Processing Society, CD ROM, pp. 569-572.
8
2
Fookes, Clinton, Maeder, Anthony, Sridharan, Subramanian, & Cook, James
(2004)
Multi-Spectral Stereo Image Matching using Mutual Information.
In
Kawada, S (Ed.) Proceedings of 2nd International Symposium on 3D Data Processing, Visualisation & Transmission.
Institute of Electrical and Electronics Engineers, Computer Society, CD ROM, pp. 961-968.
33
20
Baker, Brendan, Vogt, Robert, & Sridharan, Subramanian
(2004)
Phonetic and Lexical Speaker Recognition in Reduced Training Scenarios.
In
Cox, F, Cassidy, S, Mannell, R, & Palethrope, S (Eds.) Proceedings of the 10th Australian International Conference on Speech Science and Technology.
Australian Speech Science and Technology Association Inc, Canberra, ACT, pp. 551-556.
Martin, Terry, Wong, Eddie, Baker, Brendan, Mason, Michael, & Sridharan, Subramanian
(2004)
Pitch and Energy Trajectory Modelling in a Syllable Length Temporal Framework for Language Identification.
In
Mason, J, Peres, R, Garcia, J, Bimbot, F, Bonastre, J, Campbell, J, et al. (Eds.) Proceedings of Odyssey-04, The Speaker and Language Recognition Workshop.
Ediciones Encuentro, Spain, pp. 289-296.
Mason, Michael, Vogt, Robert, Baker, Brendan, & Sridharan, Subramanian
(2004)
The QUT NIST 2004 Speaker Verification System: A Fused Acoustic and High Level Approach.
In
Cox, F, Cassidy, S, Mannell, R, & Palethorpe, S (Eds.) Proceedings of the Tenth Australian International Conference on Speech Science and Technology.
Australian Speech Science and Technology Association Inc, Canberra, ACT, pp. 398-403.
Chandran, Vinod, Ning, Daryl, & Sridharan, Subramanian
(2004)
Speaker Identification Using Higher Order Spectral Phase Features and Their Effectiveness vis-a-vis Mel-Cepstral Features.
In
Jain, A & Zhang, D (Eds.) Biometric Authentication First International Conference (ICBA 2004) Proceedings.
Springer, Heidelberg, Germany, pp. 614-622.
8
6
Thambiratnam, Albert, Martin, Terry, & Sridharan, Subramanian
(2004)
A Study on the Effects of Limited Training Data for English, Spanish, and Indonesian Keyword Spotting.
In
Cox, F, Cassidy, S, Mannell, R, & Palethorpe, S (Eds.) Proceedings of the 10th Australian International conference on Speech Science and Technology.
Australian Speech Science and Technology Association Inc, Canberra, ACT, pp. 306-311.
Fookes, Clinton, Lin, Frank, Chandran, Vinod, & Sridharan, Subramanian
(2004)
Super-Resolved Face Images using Robust Optical Flow.
In
Wysocki, B & Wysocki, T (Eds.) Proceedings of the 3rd Workshop on the Internet, Telecommunications and Signal Processing (WITSP 2004).
Institute of Electrical and Electronics Engineers Inc., CD ROM, pp. 391-396.
346
Martin, Terry, Thambiratnam, Albert, & Sridharan, Subramanian
(2004)
Target Structured Cross Language Model Refinement.
In
Cox, F, Cassidy, S, Mannell, R, & Palethorp, S (Eds.) Proceedings of the Tenth Australian International Conference on Speech Science and Technology.
Australian Speech Science and Technology Association Inc, Canberra, ACT, pp. 352-357.
2003
Busch, Andrew, Boles, Wageeh, & Sridharan, Sridha
(2003)
Calculating the Similarity of Textures Using Wavelet Scale Relationships.
In
Lovell, Brian C, Fookes, Clinton B, Maeder, Anthony J, & Campbell, Duncan A (Eds.) Proceedings of 8th Australian & New Zealand Intelligent Information Systems Conference.
Queensland University of Technology, Australia, Queensland, Brisbane, pp. 507-512.
Busch, Andrew, Boles, Wageeh, Sridharan, Sridha, & Chandran, Vinod
(2003)
Detection of Forms from Unknown Document Images.
In
Lovell, Brian C & Maeder, Anthony J (Eds.) Workshop Proceedings of the 2003 APRS Workshop on Digital Image Computing.
University of Queensland, Australia, Queensland, Brisbane, pp. 141-144.
Nguyen, Anthony, Chandran, Vinod, Sridharan, Sridha, & Prandolini, Robert
(2003)
Guidelines to Using Region of Interest Coding in JPEG 2000.
In
Wysocki, Beata J (Ed.) Proceedings of the Int'l Symposium on Digital Signal Processing and Communication Systems.
University of Wollongong, Australia, New South Wales, pp. 183-188.
Nguyen, Anthony, Chandran, Vinod, Sridharan, Sridha, & Prandolini, Robert
(2003)
Importance Prioritisation Coding in JPEG 2000 for Interpretability with Application to Surveillance Imagery.
In
Sikora, Thomas & Ebrahimi, Touradj (Eds.) Proceedings of the Visual Communications and Image Processing 2003.
The International Society for Optical Engineering (SPIE), United States of America, pp. 806-817.
4
Wong, Eddie, Martin, Terry, Svendsen, Torbjorn, & Sridharan, Sridha
(2003)
Multilingual Phone Clustering for Recognition of Spontaneous Indonesian Speech Utilising Pronunciation Modelling Techniques.
In
Chappelier, Jean Cedric (Ed.) Proceedings of the 8th European Conference on Speech Communication and Technology.
ISCA - Bonn University, Germany, Bonn, pp. 3133-3136.
3
Butler, Darren, Mccool, Christopher, Mckay, Matthew, Lowther, Scott, Chandran, Vinod, & Sridharan, Sridha
(2003)
Robust Face Localisation Using Motion, Colour & Fusion.
In
Sun, Changming (Ed.) 7th International Conference on Digital Image Computing: Techniques & Applications.
University of Queensland, Australia, Queensland, Brisbane, pp. 899-908.
2002
Lowther, Scott, Chandran, Vinod, & Sridharan, Subramanian
(2002)
An Accurate Method for Skew Determination in Document Images.
In
Suter, D & Bab-Hadiashar, A (Eds.) Proceedings of the 6th Digital Image Computing: Techniques and Applications Conference.
Australian Pattern Recognition Society, Sydney, NSW, pp. 1-5.
Baker, Brendan, Mcgreevy, Michael, Lucey, Simon, & Sridharan, Subramanian
(2002)
Audio-visual Speech Recognition: A Practical Implementation.
In
Chandran, V (Ed.) Proceedings of the 4th Australasian Workshop on Signal Processing and Applications 2002.
Queensland University of Technology Press, Brisbane, Australia, pp. 39-42.
Butler, Darren, Sridharan, Subramanian, & Chandran, Vinod
(2002)
Chromatic Colour Spaces for Skin Detection using GMMS.
In
Principe, J & Bourlard, H (Eds.) Proceedings of the 2002 IEEE International Conference on Acoustics, Speech and Signal Processing.
Institute of Electrical and Electronics Engineers, Piscataway, USA, pp. 3620-3623.
8
4
Nguyen, Anthony, Chandran, Vinod, Sridharan, Subramanian, & Prandolini, Robert
(2002)
JPEG2000 Region of Interest Coding - A Hybrid Coefficient Scaling and Code-block Distortion Modulation Method.
In
Chandran, V (Ed.) Proceedings of the 4th Australasian Workshop on Signal Processing and Applications 2002.
Queensland University of Technology, Brisbane, Qld, pp. 59-62.
Lucey, Simon, Sridharan, Subramanian, & Chandran, Vinod
(2002)
A Link Between Cepstral Shrinking and the Weighted Product Rule in Audio-visual Speech Recognition.
In
Hansen, J H L & Pellom, B (Eds.) Proceedings of the 7th International Conference on Spoken Language Processing.
Centre for Spoken Language Research, Boulder, USA, pp. 1961-1964.
4
Nguyen, Anthony, Chandran, Vinod, Sridharan, Subramanian, & Prandolini, Robert
(2002)
Progressive Coding in JPEG2000 - Improving Content Recognition Performance using ROIs and Importance Maps.
In
Castanie, F (Ed.) Proceedings of the 11th European Signal Processing Conference.
European Association for Signal, Speech and Image Processing, Toulouse, France, pp. 1-4.
2
Lowther, Scott, Chandran, Vinod, & Sridharan, Subramanian
(2002)
Recognition of Logo Images using Invariants Defined from Higher-order Spectra.
In
Suter, D & Bab-Hadiashar, A (Eds.) Proceedings of the 5th Asian Conference on Computer Vision.
Asian Federation of Computer Vision Societies, Tokyo, Japan, pp. 1-4.
Nguyen, Anthony, Chandran, Vinod, Sridharan, Subramanian, & Prandolini, Robert
(2002)
Surveillance Image Coding for Interpretability using Importance Maps.
In
Suter, D & Bab-Hadiashar, A (Eds.) Proceedings of the 5th Asian Conference on Computer Vision.
Asian Federation of Computer Vision Societies, Tokyo, Japan, pp. 1-6.
Lucey, Simon, Sridharan, Subramanian, & Chandran, Vinod
(2002)
A Theoretical Framework for Independent Classifier Combination.
In
Suen, C, Kasturi, R, & Laurendeau, D (Eds.) Proceedings of the 16th International Conference on Pattern Recognition.
Institute of Electrical and Electronics Engineers, Piscataway, USA, pp. 1-4.
2001
Chandran, Vinod, Nguyen, Anthony, Prandolini, Robert, & Sridharan, Sridha
(2001)
Importance Assignment to Regions in Surveillance Imagery to Aid Visual Examination and Interpretation of Compressed Images.
In
Proceedings of the 2001 International Symposium on Intelligent Multimedia, Video and Speech Processing.
The Hong Kong Polytechnic University, Hong Kong, China, pp. 385-388.
5
3
Nguyen, Anthony, Chandran, Vinod, Sridharan, Sridha, & Prandolini, Robert
(2001)
Importance Coding in JPEG2000 for Improved Interpretability.
In
Proceedings of Image and Vision Computing New Zealand 2001.
University of Otago, Dunedin, New Zealand, pp. 339-344.
Nguyen, Anthony, Chandran, Vinod, Sridharan, Sridha, & Prandolini, Robert
(2001)
Importance Coding of Still Imagery Based on Importance Maps of Visually Interpretable Regions.
In
Proceedings of the 2001 IEEE International Conference on Image Processing.
Institute of Electrical and Electronics Engineers, Piscataway, USA, pp. 776-779.
2
Nguyen, Anthony, Chandran, Vinod, Sridharan, Sridha, & Prandolini, Robert
(2001)
Importance Coding of Surveillance Imagery for Interpretability Usign Quadtree Dynamic Importance Maps.
In
Proceedings of the 6th International Symposium on Signal Processing and its Applications.
Universiti Teknologi Malaysia, Johor, Malaysia, pp. 557-560.
Busch, Andrew, Boles, Wageeh, Sridharan, Sridha, & Chandran, Vinod
(2001)
Textual Analysis for Script Recognition.
In
Proceedings of Image and Vision Computing New Zealand 2001.
University of Otago, Dunedin, New Zealand, pp. 289-293.
2000
Pelecanos, Jason, Myers, Sean, Sridharan, Sridha, & Chandran, Vinod
(2000)
Vector Quantization Based Gaussian Modeling for Speaker Verification.
In
Proceedings 15th International Conference on Pattern Recognition.
Institute of Electrical and Electronics Engineers, Piscataway, USA, pp. 298-301.
26
13
1999
Wark, Tim, Sridharan, Sridha, & Chandran, Vinod
(1999)
Robust Speaker Verification via Fusion of Speech and Lip Modalities.
In
ICASSP '99 Proceedings of 1999 IEEE International Conference on Accoustics, Speech and Signal Processing.
IEEE Signal Processing Society, Piscataway, NJ, USA, pp. 3061-3064.
20
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This list was generated on Sun May 24 07:55:20 2026 AEST.