Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDClinton Fookes
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 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) - [c183]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 - [i109]Ethan Goan, Clinton Fookes:
Uncertainty in Real-Time Semantic Segmentation on Embedded Systems. CoRR abs/2301.01201 (2023) - [i108]Martin Pernus, Clinton Fookes, Vitomir Struc, Simon Dobrisek:
FICE: Text-Conditioned Fashion Image Editing With Guided GAN Inversion. CoRR abs/2301.02110 (2023) - [i107]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) - [i106]Ethan Goan, Dimitri Perrin, Kerrie L. Mengersen, Clinton Fookes:
Piecewise Deterministic Markov Processes for Bayesian Neural Networks. CoRR abs/2302.08724 (2023) - [i105]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) - [i104]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) - [i103]Kien Nguyen Thanh, Tharindu Fernando, Clinton Fookes, Sridha Sridharan:
Physical Adversarial Attacks for Surveillance: A Survey. CoRR abs/2305.01074 (2023) - [i102]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) - 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) - [c182]Jordan Shipard, Arnold Wiliem, Clinton Fookes:
Does Interference Exist When Training a Once-For-All Network? CVPR Workshops 2022: 3618-3627 - [c181]Osman Tursun, Simon Denman, Sridha Sridharan, Clinton Fookes:
SESS: Saliency Enhancing with Scaling and Sliding. ECCV (12) 2022: 318-333 - [c180]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 - [c179]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 - [c178]Joshua Knights, Peyman Moghadam, Milad Ramezani, Sridha Sridharan, Clinton Fookes:
InCloud: Incremental Learning for Point Cloud Place Recognition. IROS 2022: 8559-8566 - [c177]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 - [c176]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) - [c175]Léo Lebrat, Rodrigo Santa Cruz, Clinton Fookes, Olivier Salvado:
MongeNet: Efficient Sampler for Geometric Deep Learning. CVPR 2021: 16664-16673 - [c174]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 - [c173]Sutharsan Mahendren, Tharindu Fernando, Sridha Sridharan, Peyman Moghadam, Clinton Fookes:
Reduction of Feature Contamination for Hyper Spectral Image Classification. DICTA 2021: 1-8 - [c172]Osman Tursun, Simon Denman, Sridha Sridharan, Clinton Fookes:
Learning Regional Attention Over Multi-Resolution Deep Convolutional Features For Trademark Retrieval. ICIP 2021: 2393-2397 - [c171]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 - [c170]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 - [c169]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 - [c168]Abdullah Nazib, Clinton Fookes, Olivier Salvado, Dimitri Perrin:
A Multiple Decoder Cnn For Inverse Consistent 3d Image Registration. ISBI 2021: 904-907 - [c167]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 - [c166]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 - [c165]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 - [c164]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) - [c163]Rui Zeng, Zongyuan Ge, Simon Denman, Sridha Sridharan, Clinton Fookes:
Geometry-Constrained Car Recognition Using a 3D Perspective Network. AAAI 2020: 1161-1168 - [c162]Michael Halstead, Simon Denman, Clinton Fookes, Chris McCool:
Fruit Detection in the Wild: The Impact of Varying Conditions and Cultivar. DICTA 2020: 1-8 - [c161]David Ahmedt-Aristizabal, Mohammad Ali Armin, Simon Denman, Clinton Fookes, Lars Petersson:
Attention Networks for Multi-Task Signal Analysis. EMBC 2020: 184-187 - [c160]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 - [c159]Darshana Priyasad, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Attention Driven Fusion for Multi-Modal Emotion Recognition. ICASSP 2020: 3227-3231 - [c158]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 - [c157]Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes:
Two-Stream Deep Feature Modelling for Automated Video Endoscopy Data Analysis. MICCAI (3) 2020: 742-751 - [c156]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]