David Ahmedt-Aristizabal

According to our database, David Ahmedt-Aristizabal authored at least 39 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

SALVE: A 3D Reconstruction Benchmark of Wounds from Consumer-grade Videos.

Remi Chierchia, Léo Lebrat, David Ahmedt-Aristizabal, Olivier Salvado, Clinton Fookes, Rodrigo Santa Cruz

CoRR, 2024

Computer Vision for Clinical Gait Analysis: A Gait Abnormality Video Dataset.

Rahm Ranjan, David Ahmedt-Aristizabal, Mohammad Ali Armin, Juno Kim

CoRR, 2024

SOAF: Scene Occlusion-aware Neural Acoustic Field.

Huiyu Gao, Jiahao Ma, David Ahmedt-Aristizabal, Chuong Nguyen, Miaomiao Liu

CoRR, 2024

Plant Disease Detection Using Self-Supervised Learning: A Systematic Review.

Abdullah Al Mamun, David Ahmedt-Aristizabal, Miaohua Zhang, Md Ismail Hossen, Zeeshan Hayder, Mohammad Awrangjeb

IEEE Access, 2024

An In-Field Dynamic Vision-Based Analysis for Vineyard Yield Estimation.

David Ahmedt-Aristizabal, Daniel Smith, Muhammad Rizwan Khokher, Xun Li, Adam L. Smith, Lars Petersson, Vivien Rolland, Everard J. Edwards

IEEE Access, 2024

Continual Test-time Domain Adaptation via Dynamic Sample Selection.

Yanshuo Wang, Jie Hong, Ali Cheraghian, Shafin Rahman, David Ahmedt-Aristizabal, Lars Petersson, Mehrtash Harandi

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Syn3DWound: A Synthetic Dataset for 3D Wound Bed Analysis.

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

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

NeRF Director: Revisiting View Selection in Neural Volume Rendering.

Wenhui Xiao, Rodrigo Santa Cruz, David Ahmedt-Aristizabal, Olivier Salvado, Clinton Fookes, Léo Lebrat

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Backpropagation-free Network for 3D Test-time Adaptation.

Yanshuo Wang, Ali Cheraghian, Zeeshan Hayder, Jie Hong, Sameera Ramasinghe, Shafin Rahman, David Ahmedt-Aristizabal, Xuesong Li, Lars Petersson, Mehrtash Harandi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

HashPoint: Accelerated Point Searching and Sampling for Neural Rendering.

Jiahao Ma, Miaomiao Liu, David Ahmedt-Aristizabal, Chuong Nguyen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Orientation-conditioned Facial Texture Mapping for Video-based Facial Remote Photoplethysmography Estimation.

Sam Cantrill, David Ahmedt-Aristizabal, Lars Petersson, Hanna Suominen, Mohammad Ali Armin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Monitoring of Pigmented Skin Lesions Using 3D Whole Body Imaging.

David Ahmedt-Aristizabal, Chuong Nguyen, Lachlan Tychsen-Smith, Ashley Stacey, Shenghong Li, Joseph Pathikulangara, Lars Petersson, Dadong Wang

Comput. Methods Programs Biomed., April, 2023

Privacy-Preserving in-bed pose monitoring: A fusion and reconstruction study.

Thisun Dayarathna, Thamidu Muthukumarana, Yasiru Rathnayaka, Simon Denman, Chathura de Silva, Akila Pemasiri, David Ahmedt-Aristizabal

Expert Syst. Appl., 2023

Continuous Human Action Recognition for Human-machine Interaction: A Review.

Harshala Gammulle, David Ahmedt-Aristizabal, Simon Denman, Lachlan Tychsen-Smith, Lars Petersson, Clinton Fookes

ACM Comput. Surv., 2023

Deep Learning Approaches for Seizure Video Analysis: A Review.

David Ahmedt-Aristizabal, Mohammad Ali Armin, Zeeshan Hayder, Norberto Garcia-Cairasco, Lars Petersson, Clinton Fookes, Simon Denman, Aileen McGonigal

CoRR, 2023

Automated Coronary Arteries Labeling Via Geometric Deep Learning.

Yadan Li, Mohammad Ali Armin, Simon Denman, David Ahmedt-Aristizabal

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

Vision-Based Activity Recognition in Children with Autism-Related Behaviors.

Pengbo Wei, David Ahmedt-Aristizabal, Harshala Gammulle, Simon Denman, Mohammad Ali Armin

CoRR, 2022

A survey on graph-based deep learning for computational histopathology.

David Ahmedt-Aristizabal, Mohammad Ali Armin, Simon Denman, Clinton Fookes, Lars Petersson

Comput. Medical Imaging Graph., 2022

A real-time edge-AI system for reef surveys.

Yang Li, Jiajun Liu, Brano Kusy, Ross Marchant, Brendan Do, Torsten Merz, Joey Crosswell, Andy Steven, Lachlan Tychsen-Smith, David Ahmedt-Aristizabal, Jeremy Oorloff, Peyman Moghadam, Russ Babcock, Megha Malpani, Ard Oerlemans

Proceedings of the ACM MobiCom '22: The 28th Annual International Conference on Mobile Computing and Networking, Sydney, NSW, Australia, October 17, 2022

In-situ data curation: a key to actionable AI at the edge.

Brano Kusy, Jiajun Liu, Aninda Saha, Yang Li, Ross Marchant, Jeremy Oorloff, Lachlan Tychsen-Smith, David Ahmedt-Aristizabal, Brendan Do, Joey Crosswell, Russel Babcock, Andy Steven, Megha Malpani, Ard Oerlemans

Proceedings of the ACM MobiCom '22: The 28th Annual International Conference on Mobile Computing and Networking, Sydney, NSW, Australia, October 17, 2022

In-Bed Human Pose Estimation from Unseen and Privacy-Preserving Image Domains.

Ting Cao, Mohammad Ali Armin, Simon Denman, Lars Petersson, David Ahmedt-Aristizabal

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021

Identification of Children at Risk of Schizophrenia via Deep Learning and EEG Responses.

David Ahmedt-Aristizabal, Tharindu Fernando, Simon Denman, Jonathan Edward Robinson, Sridha Sridharan, Patrick J. Johnston, Kristin R. Laurens, Clinton Fookes

IEEE J. Biomed. Health Informatics, 2021

Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future.

David Ahmedt-Aristizabal, Mohammad Ali Armin, Simon Denman, Clinton Fookes, Lars Petersson

Sensors, 2021

The CSIRO Crown-of-Thorn Starfish Detection Dataset.

Jiajun Liu, Brano Kusy, Ross Marchant, Brendan Do, Torsten Merz, Joey Crosswell, Andy Steven, Nic Heaney, Karl von Richter, Lachlan Tychsen-Smith, David Ahmedt-Aristizabal, Mohammad Ali Armin, Geoffrey Carlin, Russ Babcock, Peyman Moghadam, Daniel Smith, Tim Davis, Kemal El Moujahid, Martin Wicke, Megha Malpani

CoRR, 2021

Towards Interpretable Attention Networks for Cervical Cancer Analysis.

Ruiqi Wang, Mohammad Ali Armin, Simon Denman, Lars Petersson, David Ahmedt-Aristizabal

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Video-Based Inpatient Fall Risk Assessment: A Case Study.

Ziqing Wang, Mohammad Ali Armin, Simon Denman, Lars Petersson, David Ahmedt-Aristizabal

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

Neural memory plasticity for medical anomaly detection.

Tharindu Fernando, Simon Denman, David Ahmedt-Aristizabal, Sridha Sridharan, Kristin R. Laurens, Patrick J. Johnston, Clinton Fookes

Neural Networks, 2020

Neural Memory Networks for Seizure Type Classification.

David Ahmedt-Aristizabal, Tharindu Fernando, Simon Denman, Lars Petersson, Matthew J. Aburn, Clinton Fookes

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Attention Networks for Multi-Task Signal Analysis.

David Ahmedt-Aristizabal, Mohammad Ali Armin, Simon Denman, Clinton Fookes, Lars Petersson

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019

Understanding Patients' Behavior: Vision-Based Analysis of Seizure Disorders.

David Ahmedt-Aristizabal, Simon Denman, Kien Nguyen, Sridha Sridharan, Sasha Dionisio, Clinton Fookes

IEEE J. Biomed. Health Informatics, 2019

Neural Memory Networks for Robust Classification of Seizure Type.

David Ahmedt-Aristizabal, Tharindu Fernando, Simon Denman, Lars Petersson, Matthew J. Aburn, Clinton Fookes

CoRR, 2019

Neural Memory Plasticity for Anomaly Detection.

Tharindu Fernando, Simon Denman, David Ahmedt-Aristizabal, Sridha Sridharan, Kristin R. Laurens, Patrick J. Johnston, Clinton Fookes

CoRR, 2019

Semantic Segmentation Of Hands In Multimodal Images: A Region New-Based CNN Approach.

Akila Pemasiri, David Ahmedt-Aristizabal, Kien Nguyen, Sridha Sridharan, Sasha Dionisio, Clinton Fookes

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

A Vision-based System for Breathing Disorder Identification: A Deep Learning Perspective.

Manuel Martínez, David Ahmedt-Aristizabal, Tilman Väth, Clinton Fookes, Andreas Benz, Rainer Stiefelhagen

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Motion Signatures for the Analysis of Seizure Evolution in Epilepsy.

David Ahmedt-Aristizabal, M. Saquib Sarfraz, Simon Denman, Kien Nguyen, Clinton Fookes, Sasha Dionisio, Rainer Stiefelhagen

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Vision-Based Mouth Motion Analysis in Epilepsy: A 3D Perspective.

David Ahmedt-Aristizabal, Kien Nguyen, Simon Denman, M. Saquib Sarfraz, Sridha Sridharan, Sasha Dionisio, Clinton Fookes

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018

Deep Motion Analysis for Epileptic Seizure Classification.

David Ahmedt-Aristizabal, Kien Nguyen, Simon Denman, Sridha Sridharan, Sasha Dionisio, Clinton Fookes

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Deep Classification of Epileptic Signals.

David Ahmedt-Aristizabal, Clinton Fookes, Kien Nguyen, Sridha Sridharan

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2011

Dynamic signature for a closed-set identification based on nonlinear analysis.

David Ahmedt-Aristizabal, Edilson Delgado-Trejos, Jesús Francisco Vargas-Bonilla, Jorge Alberto Jaramillo-Garzón

Proceedings of the 2011 IEEE International Joint Conference on Biometrics, 2011