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2020 – today
- 2025
[j96]Chayan Banerjee
, Kien Nguyen, Clinton Fookes, George E. Karniadakis:
Physics-Informed Computer Vision: A Review and Perspectives. ACM Comput. Surv. 57(1): 17:1-17:38 (2025)- [j95]Martin Pernus, Clinton Fookes, Vitomir Struc, Simon Dobrisek:
FICE: Text-conditioned fashion-image editing with guided GAN inversion. Pattern Recognit. 158: 111022 (2025) - 2024
- [j94]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) - [j93]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) - [j92]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) - [j91]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) - [j90]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) - [j89]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) - [j88]Kien Nguyen, Tharindu Fernando, Clinton Fookes, Sridha Sridharan:
Physical Adversarial Attacks for Surveillance: A Survey. IEEE Trans. Neural Networks Learn. Syst. 35(12): 17036-17056 (2024) - [c202]Wenhui Xiao, Rodrigo Santa Cruz, David Ahmedt-Aristizabal, Olivier Salvado, Clinton Fookes, Léo Lebrat:
NeRF Director: Revisiting View Selection in Neural Volume Rendering. CVPR 2024: 20742-20751 - [c201]Zi Huang, Akila Pemasiri, Simon Denman, Clinton Fookes, Terrence Martin:
Multi-Stage Learning for Radar Pulse Activity Segmentation. ICASSP 2024: 7340-7344 - [c200]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. ISBI 2024: 1-5 - [c199]Abdullah Nazib, Riad Hassan, Zahidul Islam, Clinton Fookes:
Uncertainty Driven Bottleneck Attention U-Net For Organ at Risk Segmentation. ISBI 2024: 1-5 - [c198]Olivier Salvado, Salamata Konate, Rodrigo Santa Cruz, Andrew P. Bradley, Judy Wawira Gichoya, Laleh Seyyed-Kalantari, Brandon J. Price, Clinton Fookes, Léo Lebrat:
Localisation of Racial Information in Chest X-Ray for Deep Learning Diagnosis. ISBI 2024: 1-4 - [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 - [i133]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) - [i132]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) - [i131]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) - [i130]Osman Tursun, Sinan Kalkan, Simon Denman, Sridha Sridharan, Clinton Fookes:
Part-based Quantitative Analysis for Heatmaps. CoRR abs/2405.13264 (2024) - [i129]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) - [i128]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) - [i127]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) - [i126]Chayan Banerjee, Kien Nguyen Thanh, Olivier Salvado, Truyen Tran, Clinton Fookes:
PINNs for Medical Image Analysis: A Survey. CoRR abs/2408.01026 (2024) - [i125]Martin Obschonka, Christian Fisch, Tharindu Fernando, Clinton Fookes:
AI and Entrepreneurship: Facial Recognition Technology Detects Entrepreneurs, Outperforming Human Experts. CoRR abs/2409.03765 (2024) - [i124]Sutharsan Mahendren, Saimunur Rahman, Piotr Koniusz, Tharindu Fernando, Sridha Sridharan, Clinton Fookes, Peyman Moghadam:
PseudoNeg-MAE: Self-Supervised Point Cloud Learning using Conditional Pseudo-Negative Embeddings. CoRR abs/2409.15832 (2024) - [i123]Lucas Carvalho de Lima, Ethan Griffiths, Maryam Haghighat, Simon Denman, Clinton Fookes, Paulo V. K. Borges, Michael Brünig, Milad Ramezani:
Online 6DoF Pose Estimation in Forests using Cross-View Factor Graph Optimisation and Deep Learned Re-localisation. CoRR abs/2409.16680 (2024) - [i122]Chinthaka Ranasingha, Harshala Gammulle, Tharindu Fernando, Sridha Sridharan, Clinton Fookes:
Physics Augmented Tuple Transformer for Autism Severity Level Detection. CoRR abs/2409.18438 (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]