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Clinton Fookes
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2020 – today
- 2024
- [j93]Anthony Paproki
, Olivier Salvado
, Clinton Fookes
:
Synthetic Data for Deep Learning in Computer Vision & Medical Imaging: A Means to Reduce Data Bias. ACM Comput. Surv. 56(11): 271:1-271:37 (2024) - [j92]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) - [j91]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) - [j90]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) - [j89]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) - [j88]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) - [c198]Zi Huang, Akila Pemasiri, Simon Denman, Clinton Fookes, Terrence Martin:
Multi-Stage Learning for Radar Pulse Activity Segmentation. ICASSP 2024: 7340-7344 - [c197]Martin Tran, Jordan Shipard, Hermawan Mulyono, Arnold Wiliem, Clinton Fookes:
SafeSea: Synthetic Data Generation for Adverse & Low Probability Maritime Conditions. WACV (Workshops) 2024: 821-829 - [i128]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) - [i127]Jordan Shipard, Arnold Wiliem, Kien Nguyen Thanh, Wei Xiang, Clinton Fookes:
Zoom-shot: Fast and Efficient Unsupervised Zero-Shot Transfer of CLIP to Vision Encoders with Multimodal Loss. CoRR abs/2401.11633 (2024) - [i126]Rongkai Ma, Léo Lebrat, Rodrigo Santa Cruz, Gil Avraham, Yan Zuo, Clinton Fookes, Olivier Salvado:
Divide and Conquer: Rethinking the Training Paradigm of Neural Radiance Fields. CoRR abs/2401.16144 (2024) - [i125]Osman Tursun, Sinan Kalkan, Simon Denman, Sridha Sridharan, Clinton Fookes:
Part-based Quantitative Analysis for Heatmaps. CoRR abs/2405.13264 (2024) - [i124]Wenhui Xiao, Rodrigo Santa Cruz, David Ahmedt-Aristizabal, Olivier Salvado, Clinton Fookes, Léo Lebrat:
NeRF Director: Revisiting View Selection in Neural Volume Rendering. CoRR abs/2406.08839 (2024) - [i123]Md Rakibul Islam, Riad Hassan, Abdullah Nazib, Kien Nguyen Thanh, Clinton Fookes, Md Zahidul Islam:
Enhancing Semantic Segmentation with Adaptive Focal Loss: A Novel Approach. CoRR abs/2407.09828 (2024) - [i122]Remi Chierchia, Léo Lebrat, David Ahmedt-Aristizabal, Olivier Salvado, Clinton Fookes, Rodrigo Santa Cruz:
SALVE: A 3D Reconstruction Benchmark of Wounds from Consumer-grade Videos. CoRR abs/2407.19652 (2024) - 2023
- [j87]Harshala Gammulle
, David Ahmedt-Aristizabal, Simon Denman, Lachlan Tychsen-Smith, Lars Petersson
, Clinton Fookes
:
Continuous Human Action Recognition for Human-machine Interaction: A Review. ACM Comput. Surv. 55(13s): 272:1-272:38 (2023) - [j86]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) - [j85]Kien Nguyen
, Clinton Fookes
, Sridha Sridharan
, Arun Ross
:
Complex-Valued Iris Recognition Network. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 182-196 (2023) - [j84]Amena Khatun, Simon Denman
, Sridha Sridharan
, Clinton Fookes:
Pose-driven attention-guided image generation for person re-Identification. Pattern Recognit. 137: 109246 (2023) - [j83]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) - [j82]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) - [j81]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) - [j80]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) - [c196]Jordan Shipard, Arnold Wiliem, Kien Nguyen Thanh, Wei Xiang, Clinton Fookes:
Diversity is Definitely Needed: Improving Model-Agnostic Zero-shot Classification via Stable Diffusion. CVPR Workshops 2023: 769-778 - [c195]Ethan Goan, Clinton Fookes:
Uncertainty in Real-Time Semantic Segmentation on Embedded Systems. CVPR Workshops 2023: 4491-4501 - [c194]Zi Huang, Akila Pemasiri, Simon Denman, Clinton Fookes, Terrence Martin:
Multi-Task Learning For Radar Signal Characterisation. ICASSP Workshops 2023: 1-5 - [c193]Salamata Konate, Léo Lebrat
, Rodrigo Santa Cruz, Clinton Fookes, Andrew P. Bradley
, Olivier Salvado
:
Bias Identification with RankPix Saliency. ICASSP 2023: 1-5 - [c192]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 - [c191]Huy Nguyen, Kien Nguyen
, Sridha Sridharan
, Clinton Fookes:
Aerial-Ground Person Re-ID. ICME 2023: 2585-2590 - [c190]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 - [c189]Darshana Prisayad, Tharindu Fernando
, Sridha Sridharan, Simon Denman, Clinton Fookes:
Dual Memory Fusion for Multimodal Speech Emotion Recognition. INTERSPEECH 2023: 4543-4547 - [c188]Léo Lebrat
, Rodrigo Santa Cruz, Reuben Dorent
, Javier Urriola Yaksic, Alex M. Pagnozzi
, Gregg Belous, Pierrick Bourgeat, Jurgen Fripp, Clinton Fookes, Olivier Salvado
:
Generalization Properties of Geometric 3D Deep Learning Models for Medical Segmentation. ISBI 2023: 1-5 - [c187]Filip Rusak, Rodrigo Santa Cruz, Hilda Chourak, Elliot Smith, Jurgen Fripp, Clinton Fookes, Pierrick Bourgeat, Andrew P. Bradley
:
When to Use Augmentation - Variability Insufficient for Cortical Thickness Estimation Improvement. ISBI 2023: 1-5 - [c186]Fraser Williams, Dhammika Jayalath
, Anju Jose Tom
, Terrence Martin, Clinton Fookes:
Enhancing Emitter Localization Accuracy Through Integration of Received Signal Strength in Direct Position Determination. SSP 2023: 458-462 - [c185]Ethan Goan, Dimitri Perrin, Kerrie L. Mengersen, Clinton Fookes:
Piecewise Deterministic Markov Processes for Bayesian Neural Networks. UAI 2023: 712-722 - [c184]Joshua Peters, Léo Lebrat
, Rodrigo Santa Cruz, Aaron Nicolson, Gregg Belous, Salamata Konate, Parnesh Raniga, Vincent Doré, Pierrick Bourgeat, Jurgen Mejan-Fripp, Clinton Fookes, Olivier Salvado
:
DBCE : A Saliency Method for Medical Deep Learning Through Anatomically-Consistent Free-Form Deformations. WACV 2023: 1958-1968 - [d3]Jordan Shipard
, Arnold Wiliem
, Kien Nguyen Thanh
, Wei Xiang
, Clinton Fookes
:
Diversity is Definitely Needed: Improving Model-Agnostic Zero-shot Classification via Stable Diffusion. Version 3. Zenodo, 2023 [all versions] - [d2]Jordan Shipard
, Arnold Wiliem
, Kien Nguyen Thanh
, Wei Xiang
, Clinton Fookes
:
Diversity is Definitely Needed: Improving Model-Agnostic Zero-shot Classification via Stable Diffusion. Version 1. Zenodo, 2023 [all versions] - [d1]Jordan Shipard
, Arnold Wiliem
, Kien Nguyen Thanh
, Wei Xiang
, Clinton Fookes
:
Diversity is Definitely Needed: Improving Model-Agnostic Zero-shot Classification via Stable Diffusion. Version 1. Zenodo, 2023 [all versions] - [i121]Ethan Goan, Clinton Fookes:
Uncertainty in Real-Time Semantic Segmentation on Embedded Systems. CoRR abs/2301.01201 (2023) - [i120]Martin Pernus, Clinton Fookes, Vitomir Struc, Simon Dobrisek:
FICE: Text-Conditioned Fashion Image Editing With Guided GAN Inversion. CoRR abs/2301.02110 (2023) - [i119]Jordan Shipard, Arnold Wiliem, Kien Nguyen Thanh, Wei Xiang, Clinton Fookes:
Boosting Zero-shot Classification with Synthetic Data Diversity via Stable Diffusion. CoRR abs/2302.03298 (2023) - [i118]Ethan Goan, Dimitri Perrin, Kerrie L. Mengersen, Clinton Fookes:
Piecewise Deterministic Markov Processes for Bayesian Neural Networks. CoRR abs/2302.08724 (2023) - [i117]Abdullah Nazib, Riad Hassan, Nosin Ibn Mahbub, Zahidul Islam, Clinton Fookes:
Uncertainty Driven Bottleneck Attention U-net for OAR Segmentation. CoRR abs/2303.10796 (2023) - [i116]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) - [i115]Kien Nguyen Thanh, Tharindu Fernando, Clinton Fookes, Sridha Sridharan:
Physical Adversarial Attacks for Surveillance: A Survey. CoRR abs/2305.01074 (2023) - [i114]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) - [i113]Chayan Banerjee
, Kien Nguyen, Clinton Fookes, George Em Karniadakis:
Physics-Informed Computer Vision: A Review and Perspectives. CoRR abs/2305.18035 (2023) - [i112]Zi Huang, Akila Pemasiri, Simon Denman, Clinton Fookes, Terrence Martin:
Multi-task Learning for Radar Signal Characterisation. CoRR abs/2306.13105 (2023) - [i111]Nhi Kieu, Kien Nguyen, Sridha Sridharan, Clinton Fookes:
General-Purpose Multimodal Transformer meets Remote Sensing Semantic Segmentation. CoRR abs/2307.03388 (2023) - [i110]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) - [i109]Harshala Gammulle, Yubo Chen, Sridha Sridharan, Travis Klein, Clinton Fookes:
Learning Through Guidance: Knowledge Distillation for Endoscopic Image Classification. CoRR abs/2308.08731 (2023) - [i108]Chayan Banerjee, Kien Nguyen
, Clinton Fookes, Maziar Raissi:
A Survey on Physics Informed Reinforcement Learning: Review and Open Problems. CoRR abs/2309.01909 (2023) - [i107]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) - [i106]Martin Tran, Jordan Shipard, Hermawan Mulyono, Arnold Wiliem, Clinton Fookes:
SafeSea: Synthetic Data Generation for Adverse & Low Probability Maritime Conditions. CoRR abs/2311.14764 (2023) - [i105]Léo Lebrat, Rodrigo Santa Cruz, Remi Chierchia, Yulia Arzhaeva, Mohammad Ali Armin, Joshua Goldsmith, Jeremy Oorloff, Prithvi Reddy, Chuong Nguyen, Lars Petersson, Michelle Barakat-Johnson, Georgina Luscombe, Clinton Fookes, Olivier Salvado
, David Ahmedt-Aristizabal:
Syn3DWound: A Synthetic Dataset for 3D Wound Bed Analysis. CoRR abs/2311.15836 (2023) - [i104]Zi Huang, Akila Pemasiri, Simon Denman, Clinton Fookes, Terrence Martin:
Multi-stage Learning for Radar Pulse Activity Segmentation. CoRR abs/2312.09489 (2023) - [i103]David Ahmedt-Aristizabal, Mohammad Ali Armin, Zeeshan Hayder, Norberto Garcia-Cairasco, Lars Petersson, Clinton Fookes, Simon Denman, Aileen McGonigal:
Deep Learning Approaches for Seizure Video Analysis: A Review. CoRR abs/2312.10930 (2023) - [i102]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
- [j79]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) - [j78]Kien Nguyen
, Minh Le
, Brett Martin, Ibrahim Cil
, Clinton Fookes:
When AI meets store layout design: a review. Artif. Intell. Rev. 55(7): 5707-5729 (2022) - [j77]David Ahmedt-Aristizabal, Mohammad Ali Armin, Simon Denman, Clinton Fookes, Lars Petersson
:
A survey on graph-based deep learning for computational histopathology. Comput. Medical Imaging Graph. 95: 102027 (2022) - [j76]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) - [j75]Osman Tursun
, Simon Denman, Sridha Sridharan
, Clinton Fookes
:
Learning test-time augmentation for content-based image retrieval. Comput. Vis. Image Underst. 222: 103494 (2022) - [j74]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) - [j73]Filip Rusak
, Rodrigo Santa Cruz
, Léo Lebrat
, Ondrej Hlinka
, Jurgen Fripp, Elliot Smith
, Clinton Fookes, Andrew P. Bradley
, Pierrick Bourgeat
:
Quantifiable brain atrophy synthesis for benchmarking of cortical thickness estimation methods. Medical Image Anal. 82: 102576 (2022) - [j72]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) - [j71]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) - [j70]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) - [j69]Neethu Madhukumar
, Eric Wang
, Clinton Fookes
, Wei Xiang
:
3-D Bi-directional LSTM for Satellite Soil Moisture Downscaling. IEEE Trans. Geosci. Remote. Sens. 60: 1-18 (2022) - [j68]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) - [j67]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) - [j66]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) - [j65]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) - [j64]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) - [c183]Jordan Shipard, Arnold Wiliem, Clinton Fookes:
Does Interference Exist When Training a Once-For-All Network? CVPR Workshops 2022: 3618-3627 - [c182]Osman Tursun
, Simon Denman
, Sridha Sridharan
, Clinton Fookes
:
SESS: Saliency Enhancing with Scaling and Sliding. ECCV (12) 2022: 318-333 - [c181]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 - [c180]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 - [c179]Joshua Knights, Peyman Moghadam
, Milad Ramezani, Sridha Sridharan, Clinton Fookes:
InCloud: Incremental Learning for Point Cloud Place Recognition. IROS 2022: 8559-8566 - [c178]Filip Rusak, Rodrigo Santa Cruz, Elliot Smith, Jurgen Fripp, Clinton Fookes, Pierrick Bourgeat, Andrew P. Bradley
:
Lesser of Two Evils Improves Learning in the Context of Cortical Thickness Estimation Models - Choose Wisely. DALI@MICCAI 2022: 33-42 - [c177]Rodrigo Santa Cruz
, Léo Lebrat, Darren Fu, Pierrick Bourgeat, Jurgen Fripp, Clinton Fookes, Olivier Salvado
:
CorticalFlow++: Boosting Cortical Surface Reconstruction Accuracy, Regularity, and Interoperability. MICCAI (5) 2022: 496-505 - [i101]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) - [i100]Harshala Gammulle, David Ahmedt-Aristizabal, Simon Denman, Lachlan Tychsen-Smith, Lars Petersson, Clinton Fookes:
Continuous Human Action Recognition for Human-Machine Interaction: A Review. CoRR abs/2202.13096 (2022) - [i99]Joshua Knights, Peyman Moghadam, Milad Ramezani, Sridha Sridharan, Clinton Fookes:
InCloud: Incremental Learning for Point Cloud Place Recognition. CoRR abs/2203.00807 (2022) - [i98]Mithun Lal, Anthony Paproki, Nariman Habili, Lars Petersson, Olivier Salvado
, Clinton Fookes:
Learning Dense Correspondence from Synthetic Environments. CoRR abs/2203.12919 (2022) - [i97]Tharindu Fernando, Clinton Fookes, Harshala Gammulle, Simon Denman, Sridha Sridharan:
Towards On-Board Panoptic Segmentation of Multispectral Satellite Images. CoRR abs/2204.01952 (2022) - [i96]Jordan Shipard, Arnold Wiliem, Clinton Fookes:
Does Interference Exist When Training a Once-For-All Network? CoRR abs/2204.09210 (2022) - [i95]Léo Lebrat, Rodrigo Santa Cruz, Frédéric de Gournay, Darren Fu, Pierrick Bourgeat, Jurgen Fripp, Clinton Fookes, Olivier Salvado
:
CorticalFlow: A Diffeomorphic Mesh Deformation Module for Cortical Surface Reconstruction. CoRR abs/2206.02374 (2022) - [i94]Rodrigo Santa Cruz, Léo Lebrat, Darren Fu, Pierrick Bourgeat, Jurgen Fripp, Clinton Fookes, Olivier Salvado
:
CorticalFlow++: Boosting Cortical Surface Reconstruction Accuracy, Regularity, and Interoperability. CoRR abs/2206.06598 (2022) - [i93]Osman Tursun, Simon Denman, Sridha Sridharan, Clinton Fookes:
SESS: Saliency Enhancing with Scaling and Sliding. CoRR abs/2207.01769 (2022) - [i92]Kavisha Vidanapathirana, Peyman Moghadam, Sridha Sridharan, Clinton Fookes:
Spectral Geometric Verification: Re-Ranking Point Cloud Retrieval for Metric Localization. CoRR abs/2210.04432 (2022) - [i91]Tharindu Fernando, Clinton Fookes, Sridha Sridharan, Dana Michalski:
Using Auxiliary Information for Person Re-Identification - A Tutorial Overview. CoRR abs/2211.08565 (2022) - [i90]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
- [j63]Akila Pemasiri, Kien Nguyen
, Sridha Sridharan, Clinton Fookes:
Multi-modal semantic image segmentation. Comput. Vis. Image Underst. 202: 103085 (2021) - [j62]Darshana Priyasad
, Tharindu Fernando
, Simon Denman, Sridha Sridharan
, Clinton Fookes:
Memory based fusion for multi-modal deep learning. Inf. Fusion 67: 136-146 (2021) - [j61]David Ahmedt-Aristizabal
, Mohammad Ali Armin, Simon Denman, Clinton Fookes, Lars Petersson
:
Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future. Sensors 21(14): 4758 (2021) - [j60]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) - [j59]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) - [j58]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) - [j57]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) - [j56]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) - [j55]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) - [j54]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) - [c176]Léo Lebrat, Rodrigo Santa Cruz, Clinton Fookes, Olivier Salvado
:
MongeNet: Efficient Sampler for Geometric Deep Learning. CVPR 2021: 16664-16673 - [c175]Salamata Konate, Léo Lebrat
, Rodrigo Santa Cruz, Elliot Smith, Andrew P. Bradley
, Clinton Fookes, Olivier Salvado
:
A Comparison of Saliency Methods for Deep Learning Explainability. DICTA 2021: 1-8 - [c174]Sutharsan Mahendren, Tharindu Fernando
, Sridha Sridharan, Peyman Moghadam
, Clinton Fookes:
Reduction of Feature Contamination for Hyper Spectral Image Classification. DICTA 2021: 1-8 - [c173]Osman Tursun
, Simon Denman, Sridha Sridharan, Clinton Fookes:
Learning Regional Attention Over Multi-Resolution Deep Convolutional Features For Trademark Retrieval. ICIP 2021: 2393-2397 - [c172]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 - [c171]Salamata Konate, Léo Lebrat
, Rodrigo Santa Cruz, Pierrick Bourgeat, Vincent Doré, Jurgen Fripp, Andrew P. Bradley
, Clinton Fookes, Olivier Salvado:
Smocam: Smooth Conditional Attention Mask For 3d-Regression Models. ISBI 2021: 362-366 - [c170]Rodrigo Santa Cruz
, Léo Lebrat
, Pierrick Bourgeat
, Vincent Doré
, Jason Dowling
, Jurgen Fripp, Clinton Fookes, Olivier Salvado
:
Going Deeper With Brain Morphometry Using Neural Networks. ISBI 2021: 711-715 - [c169]Abdullah Nazib
, Clinton Fookes, Olivier Salvado, Dimitri Perrin
:
A Multiple Decoder Cnn For Inverse Consistent 3d Image Registration. ISBI 2021: 904-907 - [c168]Filip Rusak, Rodrigo Santa Cruz, Elliot Smith, Jurgen Fripp, Clinton Fookes, Pierrick Bourgeat, Andrew P. Bradley
:
Detail Matters: High-Frequency Content for Realistic Synthetic MRI Generation. SASHIMI@MICCAI 2021: 3-13 - [c167]Léo Lebrat, Rodrigo Santa Cruz, Frédéric de Gournay, Darren Fu, Pierrick Bourgeat, Jurgen Fripp, Clinton Fookes, Olivier Salvado:
CorticalFlow: A Diffeomorphic Mesh Transformer Network for Cortical Surface Reconstruction. NeurIPS 2021: 29491-29505 - [c166]Rodrigo Santa Cruz, Léo Lebrat
, Pierrick Bourgeat, Clinton Fookes, Jurgen Fripp, Olivier Salvado
:
DeepCSR: A 3D Deep Learning Approach for Cortical Surface Reconstruction. WACV 2021: 806-815 - [c165]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 - [i89]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) - [i88]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) - [i87]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) - [i86]Mohammad Mahfujur Rahman, Clinton Fookes, Sridha Sridharan:
Deep Domain Generalization with Feature-norm Network. CoRR abs/2104.13581 (2021) - [i85]Mohammad Mahfujur Rahman, Clinton Fookes, Sridha Sridharan:
Preserving Semantic Consistency in Unsupervised Domain Adaptation Using Generative Adversarial Networks. CoRR abs/2104.13725 (2021) - [i84]Amena Khatun, Simon Denman, Sridha Sridharan, Clinton Fookes:
Pose-driven Attention-guided Image Generation for Person Re-Identification. CoRR abs/2104.13773 (2021) - [i83]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) - [i82]Léo Lebrat, Rodrigo Santa Cruz, Clinton Fookes, Olivier Salvado:
MongeNet: Efficient Sampler for Geometric Deep Learning. CoRR abs/2104.14554 (2021) - [i81]David Ahmedt-Aristizabal, Mohammad Ali Armin, Simon Denman, Clinton Fookes, Lars Petersson:
Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future. CoRR abs/2105.13137 (2021) - [i80]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) - [i79]David Ahmedt-Aristizabal, Mohammad Ali Armin, Simon Denman, Clinton Fookes, Lars Petersson:
A Survey on Graph-Based Deep Learning for Computational Histopathology. CoRR abs/2107.00272 (2021) - [i78]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) - [i77]Mohammad Mahfujur Rahman, Clinton Fookes, Sridha Sridharan:
Discriminative Domain-Invariant Adversarial Network for Deep Domain Generalization. CoRR abs/2108.08995 (2021) - [i76]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) - [i75]Joshua Knights, Peyman Moghadam, Clinton Fookes, Sridha Sridharan:
Point Cloud Segmentation Using Sparse Temporal Local Attention. CoRR abs/2112.00289 (2021) - 2020
- [j53]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) - [j52]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) - [j51]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) - [j50]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) - [j49]Harshala Gammulle
, Simon Denman, Sridha Sridharan
, Clinton Fookes:
Fine-grained action segmentation using the semi-supervised action GAN. Pattern Recognit. 98 (2020) - [j48]Mohammad Mahfujur Rahman
, Clinton Fookes, Mahsa Baktashmotlagh
, Sridha Sridharan
:
Correlation-aware adversarial domain adaptation and generalization. Pattern Recognit. 100: 107124 (2020) - [j47]Kien Nguyen
, Clinton Fookes, Sridha Sridharan
:
Context from within: Hierarchical context modeling for semantic segmentation. Pattern Recognit. 105: 107358 (2020) - [j46]Harshala Gammulle
, Simon Denman
, Sridha Sridharan
, Clinton Fookes:
Hierarchical Attention Network for Action Segmentation. Pattern Recognit. Lett. 131: 442-448 (2020) - [j45]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) - [j44]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) - [j43]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) - [j42]Kien Nguyen
, Clinton Fookes
, Sridha Sridharan
:
Constrained Design of Deep Iris Networks. IEEE Trans. Image Process. 29: 7166-7175 (2020) - [j41]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) - [j40]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) - [c164]Rui Zeng, Zongyuan Ge, Simon Denman, Sridha Sridharan
, Clinton Fookes:
Geometry-Constrained Car Recognition Using a 3D Perspective Network. AAAI 2020: 1161-1168 - [c163]Michael Halstead, Simon Denman, Clinton Fookes, Chris McCool
:
Fruit Detection in the Wild: The Impact of Varying Conditions and Cultivar. DICTA 2020: 1-8 - [c162]David Ahmedt-Aristizabal
, Mohammad Ali Armin, Simon Denman, Clinton Fookes, Lars Petersson
:
Attention Networks for Multi-Task Signal Analysis. EMBC 2020: 184-187 - [c161]David Ahmedt-Aristizabal
, Tharindu Fernando
, Simon Denman, Lars Petersson
, Matthew J. Aburn, Clinton Fookes:
Neural Memory Networks for Seizure Type Classification. EMBC 2020: 569-575 - [c160]Darshana Priyasad
, Tharindu Fernando
, Simon Denman, Sridha Sridharan
, Clinton Fookes:
Attention Driven Fusion for Multi-Modal Emotion Recognition. ICASSP 2020: 3227-3231 - [c159]Filip Rusak, Rodrigo Santa Cruz, Pierrick Bourgeat
, Clinton Fookes, Jurgen Fripp, Andrew P. Bradley
, Olivier Salvado
:
3D Brain MRI GAN-Based Synthesis Conditioned on Partial Volume Maps. SASHIMI@MICCAI 2020: 11-20 - [c158]Harshala Gammulle
, Simon Denman, Sridha Sridharan, Clinton Fookes:
Two-Stream Deep Feature Modelling for Automated Video Endoscopy Data Analysis. MICCAI (3) 2020: 742-751 - [c157]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 - [i74]Chanoh Park, Peyman Moghadam, Soohwan Kim, Sridha Sridharan, Clinton Fookes:
Spatiotemporal Camera-LiDAR Calibration: A Targetless and Structureless Approach. CoRR abs/2001.06175 (2020) - [i73]Osman Tursun, Simon Denman, Sridha Sridharan, Clinton Fookes:
Enhancing Feature Invariance with Learned Image Transformations for Image Retrieval. CoRR abs/2002.01642 (2020) - [i72]Abdullah Nazib, Clinton Fookes, Olivier Salvado, Dimitri Perrin:
A Multiple Decoder CNN for Inverse Consistent 3D Image Registration. CoRR abs/2002.06468 (2020) - [i71]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) - [i70]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) - [i69]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) - [i68]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) - [i67]Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes:
Hierarchical Attention Network for Action Segmentation. CoRR abs/2005.03209 (2020) - [i66]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) - [i65]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) - [i64]Ethan Goan, Clinton Fookes:
Bayesian Neural Networks: An Introduction and Survey. CoRR abs/2006.12024 (2020) - [i63]Dung Nguyen, Sridha Sridharan, Duc Thanh Nguyen, Simon Denman, David Dean, Clinton Fookes:
Meta Transfer Learning for Emotion Recognition. CoRR abs/2006.13211 (2020) - [i62]Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes:
Two-Stream Deep Feature Modelling for Automated Video Endoscopy Data Analysis. CoRR abs/2007.05914 (2020) - [i61]Darshana Priyasad, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Memory Based Attentive Fusion. CoRR abs/2007.08076 (2020) - [i60]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) - [i59]Rodrigo Santa Cruz, Léo Lebrat, Pierrick Bourgeat, Vincent Doré, Jason Dowling, Jurgen Fripp, Clinton Fookes, Olivier Salvado:
Going deeper with brain morphometry using neural networks. CoRR abs/2009.03303 (2020) - [i58]Darshana Priyasad, Tharindu Fernando, Simon Denman, Clinton Fookes, Sridha Sridharan:
Attention Driven Fusion for Multi-Modal Emotion Recognition. CoRR abs/2009.10991 (2020) - [i57]Rodrigo Santa Cruz, Léo Lebrat, Pierrick Bourgeat, Clinton Fookes, Jurgen Fripp, Olivier Salvado:
DeepCSR: A 3D Deep Learning Approach for Cortical Surface Reconstruction. CoRR abs/2010.11423 (2020) - [i56]Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes:
Multi-modal Fusion for Single-Stage Continuous Gesture Recognition. CoRR abs/2011.04945 (2020) - [i55]Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Fast & Slow Learning: Incorporating Synthetic Gradients in Neural Memory Controllers. CoRR abs/2011.05438 (2020) - [i54]Theekshana Dissanayake, Tharindu Fernando, Simon Denman, Houman Ghaemmaghami, Sridha Sridharan, Clinton Fookes:
Domain Generalization in Biosignal Classification. CoRR abs/2011.06207 (2020) - [i53]Theekshana Dissanayake, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Patient-independent Epileptic Seizure Prediction using Deep Learning Models. CoRR abs/2011.09581 (2020) - [i52]Kien Nguyen, Clinton Fookes, Sridha Sridharan, Arun Ross:
Complex-valued Iris Recognition Network. CoRR abs/2011.11198 (2020) - [i51]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) - [i50]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
- [j39]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) - [j38]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) - [j37]Akila Pemasiri, Kien Nguyen Thanh
, Sridha Sridharan
, Clinton Fookes:
Sparse over-complete patch matching. Pattern Recognit. Lett. 122: 1-6 (2019) - [j36]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) - [j35]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) - [j34]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) - [c156]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 - [c155]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 - [c154]Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes:
Forecasting Future Action Sequences with Neural Memory Networks. BMVC 2019: 298 - [c153]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 - [c152]David Ahmedt-Aristizabal, M. Saquib Sarfraz, Simon Denman, Kien Nguyen
, Clinton Fookes, Sasha Dionisio, Rainer Stiefelhagen
:
Motion Signatures for the Analysis of Seizure Evolution in Epilepsy. EMBC 2019: 2099-2105 - [c151]Manuel Martínez
, David Ahmedt-Aristizabal, Tilman Väth, Clinton Fookes, Andreas Benz, Rainer Stiefelhagen:
A Vision-based System for Breathing Disorder Identification: A Deep Learning Perspective. EMBC 2019: 6529-6532 - [c150]Md. Hafizur Rahman, Ivan Himawan, Sridha Sridharan
, Clinton Fookes:
Investigating Domain Sensitivity of DNN Embeddings for Speaker Recognition Systems. ICASSP 2019: 5811-5815 - [c149]Harshala Gammulle
, Simon Denman, Sridha Sridharan
, Clinton Fookes:
Predicting the Future: A Jointly Learnt Model for Action Anticipation. ICCV 2019: 5561-5570 - [c148]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 - [c147]Osman Tursun
, Rui Zeng, Simon Denman, Sabesan Sivapalan, Sridha Sridharan, Clinton Fookes:
MTRNet: A Generic Scene Text Eraser. ICDAR 2019: 39-44 - [c146]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 - [c145]Abdullah Nazib
, Clinton Fookes, Dimitri Perrin:
Towards Extreme-Resolution Image Registration with Deep Learning. ISBI 2019: 512-516 - [c144]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 - [c143]Harshala Gammulle
, Tharindu Fernando
, Simon Denman, Sridha Sridharan, Clinton Fookes:
Coupled Generative Adversarial Network for Continuous Fine-Grained Action Segmentation. WACV 2019: 200-209 - [c142]Mohammad Mahfujur Rahman
, Clinton Fookes, Mahsa Baktashmotlagh
, Sridha Sridharan:
Multi-Component Image Translation for Deep Domain Generalization. WACV 2019: 579-588 - [c141]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 - [i49]Mohammad Mahfujur Rahman, Clinton Fookes, Mahsa Baktashmotlagh, Sridha Sridharan:
On Minimum Discrepancy Estimation for Deep Domain Adaptation. CoRR abs/1901.00282 (2019) - [i48]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) - [i47]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) - [i46]Osman Tursun, Rui Zeng, Simon Denman, Sabesan Sivipalan, Sridha Sridharan, Clinton Fookes:
MTRNet: A Generic Scene Text Eraser. CoRR abs/1903.04092 (2019) - [i45]Rui Zeng, Zongyuan Ge, Simon Denman, Sridha Sridharan, Clinton Fookes:
Geometry-constrained Car Recognition Using a 3D Perspective Network. CoRR abs/1903.07916 (2019) - [i44]Kien Nguyen, Clinton Fookes, Sridha Sridharan:
Constrained Design of Deep Iris Networks. CoRR abs/1905.09481 (2019) - [i43]Abdullah Nazib
, Clinton Fookes, Dimitri Perrin:
Dense Deformation Network for High Resolution Tissue Cleared Image Registration. CoRR abs/1906.06180 (2019) - [i42]Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes:
Fine-grained Action Segmentation using the Semi-Supervised Action GAN. CoRR abs/1909.09269 (2019) - [i41]Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes:
Forecasting Future Action Sequences with Neural Memory Networks. CoRR abs/1909.09278 (2019) - [i40]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) - [i39]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) - [i38]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) - [i37]Mohammad Mahfujur Rahman, Clinton Fookes, Mahsa Baktashmotlagh, Sridha Sridharan:
Correlation-aware Adversarial Domain Adaptation and Generalization. CoRR abs/1911.12983 (2019) - [i36]David Ahmedt-Aristizabal, Tharindu Fernando, Simon Denman, Lars Petersson, Matthew J. Aburn, Clinton Fookes:
Neural Memory Networks for Robust Classification of Seizure Type. CoRR abs/1912.04968 (2019) - [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
- [j33]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) - [j32]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) - [j31]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) - [j30]Tharindu Fernando
, Simon Denman
, Aaron McFadyen
, Sridha Sridharan, Clinton Fookes
:
Tree Memory Networks for modelling long-term temporal dependencies. Neurocomputing 304: 64-81 (2018) - [j29]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) - [j28]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) - [j27]Michael Halstead
, Christopher McCool
, Simon Denman
, Tristan Perez
, Clinton Fookes
:
Fruit Quantity and Ripeness Estimation Using a Robotic Vision System. IEEE Robotics Autom. Lett. 3(4): 2995-3002 (2018) - [c140]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 - [c139]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 - [c138]Harshala Gammulle
, Simon Denman, Sridha Sridharan, Clinton Fookes:
Multi-level Sequence GAN for Group Activity Recognition. ACCV (1) 2018: 331-346 - [c137]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 - [c136]Rui Zeng
, Simon Denman
, Sridha Sridharan
, Clinton Fookes
:
Rethinking Planar Homography Estimation Using Perspective Fields. ACCV (6) 2018: 571-586 - [c135]Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Learning Temporal Strategic Relationships using Generative Adversarial Imitation Learning. AAMAS 2018: 113-121 - [c134]Michael Halstead, Simon Denman, Clinton Fookes, Yingli Tian
, Mark S. Nixon
:
Semantic Person Retrieval in Surveillance Using Soft Biometrics: AVSS 2018 Challenge II. AVSS 2018: 1-6 - [c133]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 - [c132]Shafeeq Elanattil, Peyman Moghadam
, Simon Denman, Sridha Sridharan, Clinton Fookes:
Skeleton Driven Non-Rigid Motion Tracking and 3D Reconstruction. DICTA 2018: 1-8 - [c131]David Ahmedt-Aristizabal
, Clinton Fookes, Kien Nguyen
, Sridha Sridharan:
Deep Classification of Epileptic Signals. EMBC 2018: 332-335 - [c130]Abdullah Nazib
, James Galloway, Clinton Fookes, Dimitri Perrin:
Performance of Registration Tools on High-Resolution 3D Brain Images. EMBC 2018: 566-569 - [c129]David Ahmedt-Aristizabal
, Kien Nguyen
, Simon Denman, Sridha Sridharan, Sasha Dionisio
, Clinton Fookes:
Deep Motion Analysis for Epileptic Seizure Classification. EMBC 2018: 3578-3581 - [c128]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 - [c127]Muhammad Iqbal Hasan Chowdhury, Kien Nguyen
, Sridha Sridharan
, Clinton Fookes:
Hierarchical Relational Attention for Video Question Answering. ICIP 2018: 599-603 - [c126]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 - [c125]Shafeeq Elanattil, Peyman Moghadam
, Sridha Sridharan, Clinton Fookes, Mark Cox
:
Non-rigid Reconstruction with a Single Moving RGB-D Camera. ICPR 2018: 1049-1055 - [c124]Dung Nguyen Tien, Kien Nguyen
, Sridha Sridharan, Iman Abbasnejad, David Dean, Clinton Fookes:
Meta Transfer Learning for Facial Emotion Recognition. ICPR 2018: 3543-3548 - [c123]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 - [c122]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 - [c121]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 - [c120]Tharindu Fernando
, Simon Denman, Sridha Sridharan, Clinton Fookes:
Pedestrian Trajectory Prediction with Structured Memory Hierarchies. ECML/PKDD (1) 2018: 241-256 - [c119]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 - [c118]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 - [c117]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 - [c116]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]Michael Halstead, Chris McCool, Simon Denman, Tristan Perez, Clinton Fookes:
Fruit Quantity and Quality Estimation using a Robotic Vision System. CoRR abs/1801.05560 (2018) - [i31]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) - [i30]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) - [i29]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) - [i28]Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Learning Temporal Strategic Relationships using Generative Adversarial Imitation Learning. CoRR abs/1805.04969 (2018) - [i27]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) - [i26]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) - [i25]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) - [i24]Akila Pemasiri, Kien Nguyen, Sridha Sridharan, Clinton Fookes:
Sparse Over-complete Patch Matching. CoRR abs/1806.03556 (2018) - [i23]Akila Pemasiri, Kien Nguyen, Sridha Sridharan, Clinton Fookes:
Semantic Correspondence: A Hierarchical Approach. CoRR abs/1806.03560 (2018) - [i22]Abdullah Nazib, James Galloway, Clinton Fookes, Dimitri Perrin:
Performance of Image Registration Tools on High-Resolution 3D Brain Images. CoRR abs/1807.04917 (2018) - [i21]Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Pedestrian Trajectory Prediction with Structured Memory Hierarchies. CoRR abs/1807.08381 (2018) - [i20]Shafeeq Elanattil, Peyman Moghadam, Simon Denman, Sridha Sridharan, Clinton Fookes:
Skeleton Driven Non-rigid Motion Tracking and 3D Reconstruction. CoRR abs/1810.03774 (2018) - [i19]Abdullah Nazib
, Clinton Fookes, Dimitri Perrin:
A Comparative Analysis of Registration Tools: Traditional vs Deep Learning Approach on High Resolution Tissue Cleared Data. CoRR abs/1810.08315 (2018) - [i18]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) - [i17]Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes:
Multi-Level Sequence GAN for Group Activity Recognition. CoRR abs/1812.07124 (2018) - [i16]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) - [i15]Mohammad Mahfujur Rahman, Clinton Fookes, Mahsa Baktashmotlagh, Sridha Sridharan:
Multi-component Image Translation for Deep Domain Generalization. CoRR abs/1812.08974 (2018) - [i14]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
- [j26]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) - [j25]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) - [j24]Kien Nguyen Thanh
, Clinton Fookes
, Raghavender R. Jillela, Sridha Sridharan, Arun Ross:
Long range iris recognition: A survey. Pattern Recognit. 72: 123-143 (2017) - [c115]Jhony Kaesemodel Pontes, Chen Kong, Anders P. Eriksson, Clinton Fookes, Sridha Sridharan, Simon Lucey:
Compact Model Representation for 3D Reconstruction. 3DV 2017: 88-96 - [c114]Jhony K. Pontes, Clinton Fookes, Alceu S. Britto Jr., Alessandro L. Koerich:
Two-stage facial age prediction using group-specific features. ICASSP 2017: 2577-2581 - [c113]Sarasi Munasinghe, Clinton Fookes, Sridha Sridharan:
Deep features-based expression-invariant tied factor analysis for emotion recognition. IJCB 2017: 546-554 - [c112]Tharindu Fernando
, Simon Denman, Sridha Sridharan, Clinton Fookes
:
Going Deeper: Autonomous Steering with Neural Memory Networks. ICCV Workshops 2017: 214-221 - [c111]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 - [c110]Chanoh Park, Soohwan Kim
, Peyman Moghadam
, Clinton Fookes
, Sridha Sridharan:
Probabilistic Surfel Fusion for Dense LiDAR Mapping. ICCV Workshops 2017: 2418-2426 - [c109]Sarasi Kankanamge, Clinton Fookes, Sridha Sridharan:
Facial analysis in the wild with LSTM networks. ICIP 2017: 1052-1056 - [c108]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 - [c107]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 - [c106]Thanikasalam Kokul
, Clinton Fookes, Sridha Sridharan, Amirthalingam Ramanan
, U. A. J. Pinidiyaarachchi:
Gate connected convolutional neural network for object tracking. ICIP 2017: 2602-2606 - [c105]Xufeng Guo, Kien Nguyen
, Simon Denman, Clinton Fookes, Sridha Sridharan:
Single image depth prediction using super-column super-pixel features. ICIP 2017: 2657-2661 - [c104]Kien Nguyen Thanh
, Clinton Fookes
, Sridha Sridharan:
Deep Context Modeling for Semantic Segmentation. WACV 2017: 56-63 - [c103]Harshala Gammulle
, Simon Denman, Sridha Sridharan, Clinton Fookes
:
Two Stream LSTM: A Deep Fusion Framework for Human Action Recognition. WACV 2017: 177-186 - [c102]Iman Abbasnejad, Sridha Sridharan, Simon Denman, Clinton Fookes
, Simon Lucey:
From Affine Rank Minimization Solution to Sparse Modeling. WACV 2017: 501-509 - [c101]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 - [i13]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) - [i12]Tharindu Fernando, Simon Denman, Aaron McFadyen, Sridha Sridharan, Clinton Fookes:
Tree Memory Networks for Modelling Long-term Temporal Dependencies. CoRR abs/1703.04706 (2017) - [i11]Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes:
Two Stream LSTM: A Deep Fusion Framework for Human Action Recognition. CoRR abs/1704.01194 (2017) - [i10]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) - [i9]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) - [i8]Chanoh Park
, Soohwan Kim, Peyman Moghadam, Clinton Fookes, Sridha Sridharan:
Probabilistic Surfel Fusion for Dense LiDAR Mapping. CoRR abs/1709.01265 (2017) - [i7]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) - [i6]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
- [j23]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) - [j22]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) - [j21]Jhony K. Pontes, Alceu S. Britto Jr., Clinton Fookes
, Alessandro L. Koerich:
A flexible hierarchical approach for facial age estimation based on multiple features. Pattern Recognit. 54: 34-51 (2016) - [j20]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) - [c100]Iman Abbasnejad, Sridha Sridharan, Simon Denman, Clinton Fookes
, Simon Lucey:
Complex Event Detection Using Joint Max Margin and Semantic Features. DICTA 2016: 1-8 - [c99]Rui Zeng, Ruan Lakemond, Simon Denman, Sridha Sridharan, Clinton Fookes
, Stuart Morgan:
Vertical Axis Detection for Sport Video Analytics. DICTA 2016: 1-7 - [c98]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 - [c97]Xufeng Guo, Simon Denman, Clinton Fookes, Sridha Sridharan:
A robust UAV landing site detection system using mid-level discriminative patches. ICPR 2016: 1659-1664 - [c96]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 - [c95]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 - [c94]Afsaneh Ghasemi, Simon Denman, Sridha Sridharan, Clinton Fookes
:
Discovery of facial motions using deep machine perception. WACV 2016: 1-7 - [i5]Ahilan Kanagasundaram, David Dean, Sridha Sridharan, Clinton Fookes:
Domain adaptation based Speaker Recognition on Short Utterances. CoRR abs/1610.02831 (2016) - [i4]Ahilan Kanagasundaram, David Dean, Sridha Sridharan, Clinton Fookes:
DNN based Speaker Recognition on Short Utterances. CoRR abs/1610.03190 (2016) - [i3]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) - [i2]Jingxin Xu, Clinton Fookes, Sridha Sridharan:
Automatic Event Detection for Signal-based Surveillance. CoRR abs/1612.01611 (2016) - 2015
- [j19]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) - [j18]Paul Pao-Yen Wu
, Clinton Fookes
, Jegar Pitchforth, Kerrie L. Mengersen
:
A framework for model integration and holistic modelling of socio-technical systems. Decis. Support Syst. 71: 14-27 (2015) - [j17]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) - [j16]Simon Denman
, Michael Halstead
, Clinton Fookes
, Sridha Sridharan:
Searching for people using semantic soft biometric descriptions. Pattern Recognit. Lett. 68: 306-315 (2015) - [j15]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) - [j14]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) - [c93]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 - [c92]Iman Abbasnejad, Sridha Sridharan, Simon Denman, Clinton Fookes
, Simon Lucey:
Learning Temporal Alignment Uncertainty for Efficient Event Detection. DICTA 2015: 1-8 - [c91]Kaneswaran Anantharajah, Simon Denman, Dian Tjondronegoro, Sridha Sridharan, Clinton Fookes
:
Robust Automatic Face Clustering in News Video. DICTA 2015: 1-8 - [c90]Jack Valmadre
, Sridha Sridharan, Simon Denman, Clinton Fookes
, Simon Lucey:
Closed-Form Solutions for Low-Rank Non-Rigid Reconstruction. DICTA 2015: 1-6 - [c89]Jingxin Xu
, Simon Denman, Clinton Fookes
, Sridha Sridharan:
Detecting rare events using Kullback-Leibler divergence. ICASSP 2015: 1305-1309 - [c88]Simon Denman, Michael Halstead, Clinton Fookes
, Sridha Sridharan:
Searching for semantic person queries using channel representations. ICASSP 2015: 1568-1572 - [c87]Kien Nguyen Thanh
, Clinton Fookes
, Sridha Sridharan:
Improving deep convolutional neural networks with unsupervised feature learning. ICIP 2015: 2270-2274 - [c86]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 - [c85]Sabanadesan Umakanthan, Simon Denman, Clinton Fookes
, Sridha Sridharan:
Class-specific sparse codes for representing activities. ICIP 2015: 4902-4906 - [c84]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 - [c83]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 - [c82]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 - [i1]Iman Abbasnejad, Sridha Sridharan, Simon Denman, Clinton Fookes, Simon Lucey:
Learning Temporal Alignment Uncertainty for Efficient Event Detection. CoRR abs/1509.01343 (2015) - 2014
- [j13]David Ryan, Simon Denman, Clinton Fookes
, Sridha Sridharan:
Scene invariant multi camera crowd counting. Pattern Recognit. Lett. 44: 98-112 (2014) - [j12]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) - [j11]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) - [c81]Hajananth Nallaivarothayan, Clinton Fookes
, Simon Denman, Sridha Sridharan:
An MRF based abnormal event detection approach using motion and appearance features. AVSS 2014: 343-348 - [c80]Xufeng Guo, Simon Denman, Clinton Fookes
, Luis Mejías
, Sridha Sridharan:
Automatic UAV Forced Landing Site Detection Using Machine Learning. DICTA 2014: 1-7 - [c79]Sabanadesan Umakanthan, Simon Denman, Clinton Fookes
, Sridha Sridharan:
Supervised Latent Dirichlet Allocation Models for Efficient Activity Representation. DICTA 2014: 1-6 - [c78]Sabanadesan Umakanthan, Simon Denman, Clinton Fookes
, Sridha Sridharan:
Multiple Instance Dictionary Learning for Activity Representation. ICPR 2014: 1377-1382 - [c77]Michael Halstead
, Simon Denman, Sridha Sridharan, Clinton Fookes
:
Locating People in Video from Semantic Descriptions: A New Database and Approach. ICPR 2014: 4501-4506 - [c76]Simon Denman, David Dean, Clinton Fookes, Sridha Sridharan:
SAIVT-ADMRG @ MediaEval 2014 Social Event Detection. MediaEval 2014 - [c75]Serter Iyigunlu, Clinton Fookes, Prasad K. D. V. Yarlagadda:
Agent-based modelling of aircraft boarding methods. SIMULTECH 2014: 148-154 - [c74]Lin Cheng, Clinton Fookes, Vikas Reddy, Prasad K. D. V. Yarlagadda:
Analysis of passenger group behaviour and its impact on passenger flow using an agent-based model. SIMULTECH 2014: 733-738 - [c73]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 - [c72]Sabanadesan Umakanthan, Simon Denman, Clinton Fookes
, Sridha Sridharan:
Activity recognition using binary tree SVM. SSP 2014: 248-251 - [c71]Kaneswaran Anantharajah, ZongYuan Ge
, Chris McCool
, Simon Denman, Clinton Fookes
, Peter Corke
, Dian Tjondronegoro
, Sridha Sridharan:
Local inter-session variability modelling for object classification. WACV 2014: 309-316 - 2013
- [j10]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) - [j9]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) - [c70]Sabesan Sivapalan, Daniel Chen, Simon Denman, Sridha Sridharan, Clinton Fookes
:
Histogram of Weighted Local Directions for Gait Recognition. CVPR Workshops 2013: 125-130 - [c69]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 - [c68]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 - [c67]Sabanadesan Umakanthan, Simon Denman, Clinton Fookes
, Sridha Sridharan:
Semi-Binary Based Video Features for Activity Representation. DICTA 2013: 1-7 - [c66]Xin Cheng, Clinton Fookes
, Sridha Sridharan, Jason Saraghi, Simon Lucey:
Deformable face ensemble alignment with robust grouped-L1 anchors. FG 2013: 1-7 - [c65]Andrea Lagorio
, Massimo Tistarelli
, Marinella Cadoni, Clinton Fookes
, Sridha Sridharan:
Liveness detection based on 3D face shape analysis. IWBF 2013: 1-4 - 2012
- [j8]Ruan Lakemond, Sridha Sridharan, Clinton Fookes
:
Hessian-Based Affine Adaptation of Salient Local Image Features. J. Math. Imaging Vis. 44(2): 150-167 (2012) - [j7]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) - [j6]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) - [c64]Deanna Hood, Damian Joseph, Andry Rakotonirainy
, Sridha Sridharan, Clinton Fookes
:
Use of brain computer interface to drive: preliminary results. AutomotiveUI 2012: 103-106 - [c63]Jingxin Xu, Simon Denman, Clinton Fookes
, Sridha Sridharan:
Unusual Scene Detection Using Distributed Behaviour Model and Sparse Representation. AVSS 2012: 48-53 - [c62]Jingxin Xu, Simon Denman, Sridha Sridharan, Clinton Fookes
:
Activity Analysis in Complicated Scenes Using DFT Coefficients of Particle Trajectories. AVSS 2012: 82-87 - [c61]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 - [c60]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 - [c59]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 - [c58]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 - [c57]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 - [c56]Sabanadesan Umakanthan, Simon Denman, Sridha Sridharan, Clinton Fookes
, Tim Wark:
Spatio Temporal Feature Evaluation for Action Recognition. DICTA 2012: 1-8 - [c55]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 - [c54]Kaneswaran Anantharajah, Simon Denman, Sridha Sridharan, Clinton Fookes
, Dian Tjondronegoro
:
Quality based frame selection for video face recognition. ICSPCS 2012: 1-5 - [c53]Xin Cheng, Ruan Lakemond, Clinton Fookes
, Sridha Sridharan:
Efficient real-time face detection for high resolution surveillance applications. ICSPCS 2012: 1-6 - [c52]Wenbo Ma, Clinton Fookes, Tristan Kleinschmidt, Prasad K. D. V. Yarlagadda:
Modelling Passengers Flow at Airport Terminals - Individual Agent Decision Model for Stochastic Passenger Behaviour. SIMULTECH 2012: 109-113 - [c51]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
- [j5]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) - [c50]David Ryan, Simon Denman, Clinton Fookes
, Sridha Sridharan:
Textures of optical flow for real-time anomaly detection in crowds. AVSS 2011: 230-235 - [c49]Sabesan Sivapalan, Daniel Chen, Simon Denman, Sridha Sridharan, Clinton Fookes
:
3D ellipsoid fitting for multi-view gait recognition. AVSS 2011: 355-360 - [c48]Simon Denman, Alina Bialkowski
, Clinton Fookes
, Sridha Sridharan:
Determining operational measures from multi-camera surveillance systems using soft biometrics. AVSS 2011: 462-467 - [c47]Jingxin Xu, Simon Denman, Sridha Sridharan, Clinton Fookes
:
Activity Modelling in Crowded Environments: A Soft-Decision Approach. DICTA 2011: 107-112 - [c46]Rajitha Navarathna, David Dean, Sridha Sridharan, Clinton Fookes
, Patrick Lucey:
Visual Voice Activity Detection Using Frontal versus Profile Views. DICTA 2011: 134-139 - [c45]Xufeng Guo, David Dean, Simon Denman, Clinton Fookes
, Sridha Sridharan:
Evaluating Automatic Road Detection across a Large Aerial Imagery Collection. DICTA 2011: 140-145 - [c44]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 - [c43]David Ryan, Simon Denman, Sridha Sridharan, Clinton Fookes
:
Scene Invariant Crowd Counting. DICTA 2011: 237-242 - [c42]Ruan Lakemond, Clinton Fookes
, Sridha Sridharan:
Practical Improvements to Simultaneous Computation of Multi-view Geometry and Radial Lens Distortion. DICTA 2011: 524-529 - [c41]Ruan Lakemond, Clinton Fookes
, Sridha Sridharan:
Negative Determinant of Hessian Features. DICTA 2011: 530-535 - [c40]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 - [c39]Sabesan Sivapalan, Rajib Kumar Rana, Daniel Chen, Sridha Sridharan, Simon Denman, Clinton Fookes
:
Compressive Sensing for Gait Recognition. DICTA 2011: 567-571 - [c38]Sabesan Sivapalan, Daniel Chen, Simon Denman, Sridha Sridharan, Clinton Fookes
:
Gait energy volumes and frontal gait recognition using depth images. IJCB 2011: 1-6 - [c37]Kien Nguyen Thanh
, Clinton Fookes
, Sridha Sridharan, Simon Denman:
Feature-domain super-resolution for iris recognition. ICIP 2011: 3197-3200 - [c36]Wenbo Ma, Tristan Kleinschmidt, Clinton Fookes
, Prasad K. D. V. Yarlagadda
:
Check-in processing: simulation of passengers with advanced traits. WSC 2011: 1783-1794 - 2010
- [j4]Simon Denman, Todd Lamb, Clinton Fookes
, Vinod Chandran
, Sridha Sridharan:
Multi-spectral fusion for surveillance systems. Comput. Electr. Eng. 36(4): 643-663 (2010) - [c35]Rajitha Navarathna, David Dean, Patrick Lucey, Sridha Sridharan, Clinton Fookes:
Cascading appearance-based features for visual voice activity detection. AVSP 2010: 1 - [c34]Sien W. Chew, Patrick Lucey, Sridha Sridharan, Clinton Fookes:
Exploring visual features through Gabor representations for facial expression detection. AVSP 2010: 7 - [c33]David Ryan, Simon Denman, Clinton Fookes
, Sridha Sridharan:
Crowd Counting Using Group Tracking and Local Features. AVSS 2010: 218-224 - [c32]Simon Denman, Clinton Fookes
, Sridha Sridharan, David Ryan:
Multi-Modal Object Tracking using Dynamic Performance Metrics. AVSS 2010: 286-293 - [c31]Daniel Chen, Simon Denman, Clinton Fookes
, Sridha Sridharan:
Accurate Silhouettes for Surveillance - Improved Motion Segmentation Using Graph Cuts. DICTA 2010: 369-374 - [c30]Daniel Chen, Simon Denman, Clinton Fookes
:
Accurate silhouette segmentation using motion detection and graph cuts. ISSPA 2010: 81-84 - [c29]Kien Nguyen Thanh
, Clinton Fookes
, Sridha Sridharan:
Fusing shrinking and expanding active contour models for robust iris segementation. ISSPA 2010: 185-188 - [c28]Daniel Chen, Clinton Fookes
:
Labelled silhouettes for human pose estimation. ISSPA 2010: 574-577 - [c27]Rajitha Navarathna, Patrick Lucey, David Dean, Clinton Fookes
, Sridha Sridharan:
Lip detection for audio-visual speech recognition in-car environment. ISSPA 2010: 598-601 - [c26]Clinton Fookes
, Sridha Sridharan:
Eigengaze - covert behavioral biometric exploiting visual attention characteristics. ISSPA 2010: 654-657 - [c25]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
- [c24]Ruan Lakemond, Clinton Fookes
, Sridha Sridharan:
Affine Adaptation of Local Image Features Using the Hessian Matrix. AVSS 2009: 496-501 - [c23]Simon Denman, Clinton Fookes
, Sridha Sridharan, Ruan Lakemond:
Dynamic Performance Measures for Object Tracking Systems. AVSS 2009: 541-546 - [c22]Ruan Lakemond, Clinton Fookes
, Sridha Sridharan:
Dense Correspondence Extraction in Difficult Uncalibrated Scenarios. DICTA 2009: 53-60 - [c21]David Ryan, Simon Denman, Clinton Fookes
, Sridha Sridharan:
Crowd Counting Using Multiple Local Features. DICTA 2009: 81-88 - [c20]Simon Denman, Clinton Fookes
, Sridha Sridharan:
Improved Simultaneous Computation of Motion Detection and Optical Flow for Object Tracking. DICTA 2009: 175-182 - [c19]Simon Denman, Clinton Fookes
, Alina Bialkowski
, Sridha Sridharan:
Soft-Biometrics: Unconstrained Authentication in a Surveillance Environment. DICTA 2009: 196-203 - [c18]Ruan Lakemond, Clinton Fookes
, Sridha Sridharan:
PhD forum: Multiple camera management using wide base-line matching. ICDSC 2009: 1-2 - 2008
- [j3]Chris McCool
, Vinod Chandran
, Sridha Sridharan, Clinton Fookes
:
3D face verification using a free-parts approach. Pattern Recognit. Lett. 29(9): 1190-1196 (2008) - [c17]Daniel Chen, Brenden Chen, George Mamic, Clinton Fookes
, Sridha Sridharan:
Improved GrabCut Segmentation via GMM Optimisation. DICTA 2008: 39-45 - [c16]Clinton Fookes
, George Mamic, Chris McCool
, Sridha Sridharan:
Normalisation and Recognition of 3D Face Data Using Robust Hausdorff Metric. DICTA 2008: 124-129 - 2007
- [c15]Frank Lin, Clinton Fookes, Vinod Chandran
, Sridha Sridharan:
Super-Resolved Faces for Improved Face Recognition from Surveillance Video. ICB 2007: 1-10 - 2006
- [c14]Simon Denman, Vinod Chandran, Sridha Sridharan, Clinton Fookes
:
A Multi-Class Tracker Using a Scalable Condensation Filter. AVSS 2006: 25 - [c13]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 - [c12]Frank Lin, Clinton Fookes
, Vinod Chandran, Sridha Sridharan:
The Role of Motion Models in Super-Resolving Surveillance Video for Face Recognition. AVSS 2006: 58 - [c11]George Mamic, Clinton Fookes
, Sridha Sridharan:
Human Face Reconstruction Using Bayesian Deformable Models. AVSS 2006: 59 - [c10]Jamie Cook, Vinod Chandran, Clinton Fookes:
3D Face Recognition using Log-Gabor Templates. BMVC 2006: 769-778 - [c9]George Mamic, Clinton Fookes, Sridha Sridharan:
What Is the Average Human Face? PSIVT 2006: 692-701 - 2005
- [c8]Jamie Cook, Vinod Chandran, Sridha Sridharan, Clinton Fookes:
Gabor Filter Bank Representation for 3D Face Recognition. DICTA 2005: 4 - 2004
- [c7]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 - [c6]Clinton Fookes
, Anthony J. Maeder, Sridha Sridharan, Jamie Cook:
Multi-Spectral Stereo Image Matching using Mutual Information. 3DPVT 2004: 961-968 - [c5]Clinton Fookes, Anthony J. Maeder:
Quadrature-Based Image Registration Method using Mutual Information. ISBI 2004: 728-731 - [c4]Clinton Fookes
, Anthony J. Maeder:
Optimal grid point selection for improved nonrigid medical image registration. Medical Imaging: Image Processing 2004 - 2003
- [j2]Clinton Fookes, Mohammed Bennamoun:
Non-Rigid Image Registration and the Use of Mutual Information. Aust. J. Intell. Inf. Process. Syst. 8(2): 65-81 (2003) - [j1]Clinton Fookes
, Mohammed Bennamoun
:
Rigid Medical Image Registration And Its Association With Mutual Information. Int. J. Pattern Recognit. Artif. Intell. 17(7): 1167-1206 (2003) - [c3]Qosai Kanafani, Azeddine Beghdadi, Clinton Fookes
:
Segmentation-based image compression using BTC-VQ technique. ISSPA (1) 2003: 113-116 - 2002
- [c2]Clinton Fookes, Mohammed Bennamoun
, A. Lamanna:
Improved Stereo Image Matching Using Mutual Information and Hierarchical Prior Probabilities. ICPR (2) 2002: 937-940 - 2000
- [c1]Clinton Fookes, John A. Williams
, Mohammed Bennamoun
:
Global 3D Rigid Registration of Medical Images. ICIP 2000: 447-450
Coauthor Index
aka: Jurgen Mejan-Fripp
aka: Sabesan Sivapalan
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