David Ahmedt-Aristizabal

77 papers A* 5A 3B 1Misc 2Journal 52Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	BiFM: Bidirectional Flow Matching for Few-Step Image Editing and Generation. CoRR Yasong Dai, Zeeshan Hayder, David Ahmedt-Aristizabal, Hongdong Li
2026	J	`jnl`	ConMamba: Contrastive vision Mamba for plant disease detection. Pattern Recognit. Abdullah Al Mamun, Miaohua Zhang, David Ahmedt-Aristizabal, Zeeshan Hayder, Mohammad Awrangjeb
2026	J	`jnl`	Facial Spatiotemporal Graphs: Leveraging the 3D Facial Surface for Remote Physiological Measurement. CoRR Sam Cantrill, David Ahmedt-Aristizabal, Lars Petersson, Hanna Suominen, Mohammad Ali Armin
2026	J	`jnl`	Knowledge Priors for Identity-Disentangled Open-Set Privacy-Preserving Video FER. CoRR Feng Xu, Xun Li, Lars Petersson, Yulei Sui, David Ahmedt-Aristizabal, Dadong Wang
2026	J	`jnl`	Multi-View Consistent Wound Segmentation With Neural Fields. CoRR Remi Chierchia, Léo Lebrat, David Ahmedt-Aristizabal, Yulia Arzhaeva, Olivier Salvado, Clinton Fookes, Rodrigo Santa Cruz
2026	J	`jnl`	Non-Invasive 3D Wound Measurement with RGB-D Imaging. CoRR Lena Harkämper, Léo Lebrat, David Ahmedt-Aristizabal, Olivier Salvado, Mattias Heinrich, Rodrigo Santa Cruz
2025	J	`jnl`	Computer Vision for Clinical Gait Analysis: A Gait Abnormality Video Dataset. IEEE Access Rahm Ranjan, David Ahmedt-Aristizabal, Mohammad Ali Armin, Juno Kim
2025	J	`jnl`	ConMamba: Contrastive Vision Mamba for Plant Disease Detection. CoRR Abdullah Al Mamun, Miaohua Zhang, David Ahmedt-Aristizabal, Zeeshan Hayder, Mohammad Awrangjeb
2025	J	`jnl`	DCHM: Depth-Consistent Human Modeling for Multiview Detection. CoRR Jiahao Ma, Tianyu Wang, Miaomiao Liu, David Ahmedt-Aristizabal, Chuong Nguyen
2025	A	`conf`	Facial Expression Recognition with Controlled Privacy Preservation and Feature Compensation. WACV Feng Xu, David Ahmedt-Aristizabal, Lars Petersson, Dadong Wang, Xun Li
2025	J	`jnl`	Neural Radiance Fields for the Real World: A Survey. CoRR Wenhui Xiao, Remi Chierchia, Rodrigo Santa Cruz, Xuesong Li, David Ahmedt-Aristizabal, Olivier Salvado, Clinton Fookes, Léo Lebrat
2025	J	`jnl`	PSMamba: Progressive Self-supervised Vision Mamba for Plant Disease Recognition. CoRR Abdullah Al Mamun, Miaohua Zhang, David Ahmedt-Aristizabal, Zeeshan Hayder, Mohammad Awrangjeb
2025	J	`jnl`	Puzzles: Unbounded Video-Depth Augmentation for Scalable End-to-End 3D Reconstruction. CoRR Jiahao Ma, Lei Wang, Miaomiao Liu, David Ahmedt-Aristizabal, Chuong Nguyen
2025	J	`jnl`	Quality-Driven and Diversity-Aware Sample Expansion for Robust Marine Obstacle Segmentation. CoRR Miaohua Zhang, Mohammad Ali Armin, Xuesong Li, Sisi Liang, Lars Petersson, Changming Sun, David Ahmedt-Aristizabal, Zeeshan Hayder
2025	A	`conf`	SALVE: A 3D Reconstruction Benchmark of Wounds from Consumer-Grade Videos. WACV Remi Chierchia, Léo Lebrat, David Ahmedt-Aristizabal, Olivier Salvado, Clinton Fookes, Rodrigo Santa Cruz
2025	J	`jnl`	StateSpace-SSL: Linear-Time Self-supervised Learning for Plant Disease Detection. CoRR Abdullah Al Mamun, Miaohua Zhang, David Ahmedt-Aristizabal, Zeeshan Hayder, Mohammad Awrangjeb
2025	J	`jnl`	Wound3DAssist: A Practical Framework for 3D Wound Assessment. CoRR Remi Chierchia, Rodrigo Santa Cruz, Léo Lebrat, Yulia Arzhaeva, Mohammad Ali Armin, Jeremy Oorloff, Chuong Nguyen, Olivier Salvado, Clinton Fookes, David Ahmedt-Aristizabal
2024	J	`jnl`	An In-Field Dynamic Vision-Based Analysis for Vineyard Yield Estimation. IEEE Access David Ahmedt-Aristizabal, Daniel Smith, Muhammad Rizwan Khokher, Xun Li, Adam L. Smith, Lars Petersson, Vivien Rolland, Everard J. Edwards
2024	A*	`conf`	Backpropagation-free Network for 3D Test-time Adaptation. CVPR Yanshuo Wang, Ali Cheraghian, Zeeshan Hayder, Jie Hong, Sameera Ramasinghe, Shafin Rahman, David Ahmedt-Aristizabal, Xuesong Li, Lars Petersson, Mehrtash Harandi
2024	J	`jnl`	Backpropagation-free Network for 3D Test-time Adaptation. CoRR Yanshuo Wang, Ali Cheraghian, Zeeshan Hayder, Jie Hong, Sameera Ramasinghe, Shafin Rahman, David Ahmedt-Aristizabal, Xuesong Li, Lars Petersson, Mehrtash Harandi
2024	J	`jnl`	Computer Vision for Clinical Gait Analysis: A Gait Abnormality Video Dataset. CoRR Rahm Ranjan, David Ahmedt-Aristizabal, Mohammad Ali Armin, Juno Kim
2024	A	`conf`	Continual Test-time Domain Adaptation via Dynamic Sample Selection. WACV Yanshuo Wang, Jie Hong, Ali Cheraghian, Shafin Rahman, David Ahmedt-Aristizabal, Lars Petersson, Mehrtash Harandi
2024	Misc	`conf`	Developing Normative Gait Cycle Parameters for Clinical Analysis Using Human Pose Estimation. DICTA Rahm Ranjan, David Ahmedt-Aristizabal, Mohammad Ali Armin, Juno Kim
2024	J	`jnl`	Developing Normative Gait Cycle Parameters for Clinical Analysis Using Human Pose Estimation. CoRR Rahm Ranjan, David Ahmedt-Aristizabal, Mohammad Ali Armin, Juno Kim
2024	J	`jnl`	Facial Expression Recognition with Controlled Privacy Preservation and Feature Compensation. CoRR Feng Xu, David Ahmedt-Aristizabal, Lars Petersson, Dadong Wang, Xun Li
2024	A*	`conf`	HashPoint: Accelerated Point Searching and Sampling for Neural Rendering. CVPR Jiahao Ma, Miaomiao Liu, David Ahmedt-Aristizabal, Chuong Nguyen
2024	J	`jnl`	HashPoint: Accelerated Point Searching and Sampling for Neural Rendering. CoRR Jiahao Ma, Miaomiao Liu, David Ahmedt-Aristizabal, Chuong Nguyen
2024	A*	`conf`	NeRF Director: Revisiting View Selection in Neural Volume Rendering. CVPR Wenhui Xiao, Rodrigo Santa Cruz, David Ahmedt-Aristizabal, Olivier Salvado, Clinton Fookes, Léo Lebrat
2024	J	`jnl`	NeRF Director: Revisiting View Selection in Neural Volume Rendering. CoRR Wenhui Xiao, Rodrigo Santa Cruz, David Ahmedt-Aristizabal, Olivier Salvado, Clinton Fookes, Léo Lebrat
2024	—	`conf`	Orientation-conditioned Facial Texture Mapping for Video-based Facial Remote Photoplethysmography Estimation. CVPR Workshops Sam Cantrill, David Ahmedt-Aristizabal, Lars Petersson, Hanna Suominen, Mohammad Ali Armin
2024	J	`jnl`	Orientation-conditioned Facial Texture Mapping for Video-based Facial Remote Photoplethysmography Estimation. CoRR Sam Cantrill, David Ahmedt-Aristizabal, Lars Petersson, Hanna Suominen, Mohammad Ali Armin
2024	J	`jnl`	Plant Disease Detection Using Self-Supervised Learning: A Systematic Review. IEEE Access Abdullah Al Mamun, David Ahmedt-Aristizabal, Miaohua Zhang, Md Ismail Hossen, Zeeshan Hayder, Mohammad Awrangjeb
2024	Misc	`conf`	Point-Supervised Seagrass Segmentation for 3D Underwater Habitat Mapping. DICTA Miaohua Zhang, Rodrigo Santa Cruz, Yulia Arzhaeva, Xun Li, Brendan Do, Jeremy Oorloff, Mohammad Ali Armin, Zeeshan Hayder, David Ahmedt-Aristizabal
2024	J	`jnl`	SALVE: A 3D Reconstruction Benchmark of Wounds from Consumer-grade Videos. CoRR Remi Chierchia, Léo Lebrat, David Ahmedt-Aristizabal, Olivier Salvado, Clinton Fookes, Rodrigo Santa Cruz
2024	J	`jnl`	SOAF: Scene Occlusion-aware Neural Acoustic Field. CoRR Huiyu Gao, Jiahao Ma, David Ahmedt-Aristizabal, Chuong Nguyen, Miaomiao Liu
2024	—	`conf`	Syn3DWound: A Synthetic Dataset for 3D Wound Bed Analysis. ISBI 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
2023	—	`conf`	Automated Coronary Arteries Labeling Via Geometric Deep Learning. ISBI Yadan Li, Mohammad Ali Armin, Simon Denman, David Ahmedt-Aristizabal
2023	J	`jnl`	Continual Test-time Domain Adaptation via Dynamic Sample Selection. CoRR Yanshuo Wang, Jie Hong, Ali Cheraghian, Shafin Rahman, David Ahmedt-Aristizabal, Lars Petersson, Mehrtash Harandi
2023	J	`jnl`	Continuous Human Action Recognition for Human-machine Interaction: A Review. ACM Comput. Surv. Harshala Gammulle, David Ahmedt-Aristizabal, Simon Denman, Lachlan Tychsen-Smith, Lars Petersson, Clinton Fookes
2023	J	`jnl`	Deep Learning Approaches for Seizure Video Analysis: A Review. CoRR David Ahmedt-Aristizabal, Mohammad Ali Armin, Zeeshan Hayder, Norberto Garcia-Cairasco, Lars Petersson, Clinton Fookes, Simon Denman, Aileen McGonigal
2023	J	`jnl`	Monitoring of Pigmented Skin Lesions Using 3D Whole Body Imaging. Comput. Methods Programs Biomed. David Ahmedt-Aristizabal, Chuong Nguyen, Lachlan Tychsen-Smith, Ashley Stacey, Shenghong Li, Joseph Pathikulangara, Lars Petersson, Dadong Wang
2023	J	`jnl`	Privacy-Preserving in-bed pose monitoring: A fusion and reconstruction study. Expert Syst. Appl. Thisun Dayarathna, Thamidu Muthukumarana, Yasiru Rathnayaka, Simon Denman, Chathura de Silva, Akila Pemasiri, David Ahmedt-Aristizabal
2023	J	`jnl`	Syn3DWound: A Synthetic Dataset for 3D Wound Bed Analysis. CoRR 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
2022	J	`jnl`	A Real-time Edge-AI System for Reef Surveys. CoRR 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
2022	A*	`conf`	A real-time edge-AI system for reef surveys. MobiCom 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
2022	J	`jnl`	A survey on graph-based deep learning for computational histopathology. Comput. Medical Imaging Graph. David Ahmedt-Aristizabal, Mohammad Ali Armin, Simon Denman, Clinton Fookes, Lars Petersson
2022	J	`jnl`	Automated Coronary Arteries Labeling Via Geometric Deep Learning. CoRR Yadan Li, Mohammad Ali Armin, Simon Denman, David Ahmedt-Aristizabal
2022	J	`jnl`	Continuous Human Action Recognition for Human-Machine Interaction: A Review. CoRR Harshala Gammulle, David Ahmedt-Aristizabal, Simon Denman, Lachlan Tychsen-Smith, Lars Petersson, Clinton Fookes
2022	—	`conf`	In-Bed Human Pose Estimation from Unseen and Privacy-Preserving Image Domains. ISBI Ting Cao, Mohammad Ali Armin, Simon Denman, Lars Petersson, David Ahmedt-Aristizabal
2022	A*	`conf`	In-situ data curation: a key to actionable AI at the edge. MobiCom 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
2022	J	`jnl`	Monitoring of Pigmented Skin Lesions Using 3D Whole Body Imaging. CoRR David Ahmedt-Aristizabal, Chuong Nguyen, Lachlan Tychsen-Smith, Ashley Stacey, Shenghong Li, Joseph Pathikulangara, Lars Petersson, Dadong Wang
2022	J	`jnl`	Privacy-Preserving In-Bed Pose Monitoring: A Fusion and Reconstruction Study. CoRR Thisun Dayarathna, Thamidu Muthukumarana, Yasiru Rathnayaka, Simon Denman, Chathura de Silva, Akila Pemasiri, David Ahmedt-Aristizabal
2022	J	`jnl`	Vision-Based Activity Recognition in Children with Autism-Related Behaviors. CoRR Pengbo Wei, David Ahmedt-Aristizabal, Harshala Gammulle, Simon Denman, Mohammad Ali Armin
2021	J	`jnl`	A Survey on Graph-Based Deep Learning for Computational Histopathology. CoRR David Ahmedt-Aristizabal, Mohammad Ali Armin, Simon Denman, Clinton Fookes, Lars Petersson
2021	J	`jnl`	Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future. CoRR David Ahmedt-Aristizabal, Mohammad Ali Armin, Simon Denman, Clinton Fookes, Lars Petersson
2021	J	`jnl`	Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future. Sensors David Ahmedt-Aristizabal, Mohammad Ali Armin, Simon Denman, Clinton Fookes, Lars Petersson
2021	J	`jnl`	Identification of Children at Risk of Schizophrenia via Deep Learning and EEG Responses. IEEE J. Biomed. Health Informatics David Ahmedt-Aristizabal, Tharindu Fernando, Simon Denman, Jonathan Edward Robinson, Sridha Sridharan, Patrick J. Johnston, Kristin R. Laurens, Clinton Fookes
2021	J	`jnl`	In-Bed Human Pose Estimation from Unseen and Privacy-Preserving Image Domains. CoRR Ting Cao, Mohammad Ali Armin, Simon Denman, Lars Petersson, David Ahmedt-Aristizabal
2021	J	`jnl`	The CSIRO Crown-of-Thorn Starfish Detection Dataset. CoRR 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
2021	—	`conf`	Towards Interpretable Attention Networks for Cervical Cancer Analysis. EMBC Ruiqi Wang, Mohammad Ali Armin, Simon Denman, Lars Petersson, David Ahmedt-Aristizabal
2021	J	`jnl`	Towards Interpretable Attention Networks for Cervical Cancer Analysis. CoRR Ruiqi Wang, Mohammad Ali Armin, Simon Denman, Lars Petersson, David Ahmedt-Aristizabal
2021	—	`conf`	Video-Based Inpatient Fall Risk Assessment: A Case Study. EMBC Ziqing Wang, Mohammad Ali Armin, Simon Denman, Lars Petersson, David Ahmedt-Aristizabal
2021	J	`jnl`	Video-Based Inpatient Fall Risk Assessment: A Case Study. CoRR Ziqing Wang, Mohammad Ali Armin, Simon Denman, Lars Petersson, David Ahmedt-Aristizabal
2020	—	`conf`	Attention Networks for Multi-Task Signal Analysis. EMBC David Ahmedt-Aristizabal, Mohammad Ali Armin, Simon Denman, Clinton Fookes, Lars Petersson
2020	—	`conf`	Neural Memory Networks for Seizure Type Classification. EMBC David Ahmedt-Aristizabal, Tharindu Fernando, Simon Denman, Lars Petersson, Matthew J. Aburn, Clinton Fookes
2020	J	`jnl`	Neural memory plasticity for medical anomaly detection. Neural Networks Tharindu Fernando, Simon Denman, David Ahmedt-Aristizabal, Sridha Sridharan, Kristin R. Laurens, Patrick J. Johnston, Clinton Fookes
2019	—	`conf`	A Vision-based System for Breathing Disorder Identification: A Deep Learning Perspective. EMBC Manuel Martínez, David Ahmedt-Aristizabal, Tilman Väth, Clinton Fookes, Andreas Benz, Rainer Stiefelhagen
2019	—	`conf`	Motion Signatures for the Analysis of Seizure Evolution in Epilepsy. EMBC David Ahmedt-Aristizabal, M. Saquib Sarfraz, Simon Denman, Kien Nguyen, Clinton Fookes, Sasha Dionisio, Rainer Stiefelhagen
2019	J	`jnl`	Neural Memory Networks for Robust Classification of Seizure Type. CoRR David Ahmedt-Aristizabal, Tharindu Fernando, Simon Denman, Lars Petersson, Matthew J. Aburn, Clinton Fookes
2019	J	`jnl`	Neural Memory Plasticity for Anomaly Detection. CoRR Tharindu Fernando, Simon Denman, David Ahmedt-Aristizabal, Sridha Sridharan, Kristin R. Laurens, Patrick J. Johnston, Clinton Fookes
2019	—	`conf`	Semantic Segmentation Of Hands In Multimodal Images: A Region New-Based CNN Approach. ISBI Akila Pemasiri, David Ahmedt-Aristizabal, Kien Nguyen, Sridha Sridharan, Sasha Dionisio, Clinton Fookes
2019	J	`jnl`	Understanding Patients' Behavior: Vision-Based Analysis of Seizure Disorders. IEEE J. Biomed. Health Informatics David Ahmedt-Aristizabal, Simon Denman, Kien Nguyen, Sridha Sridharan, Sasha Dionisio, Clinton Fookes
2019	—	`conf`	Vision-Based Mouth Motion Analysis in Epilepsy: A 3D Perspective. EMBC David Ahmedt-Aristizabal, Kien Nguyen, Simon Denman, M. Saquib Sarfraz, Sridha Sridharan, Sasha Dionisio, Clinton Fookes
2018	—	`conf`	Deep Classification of Epileptic Signals. EMBC David Ahmedt-Aristizabal, Clinton Fookes, Kien Nguyen, Sridha Sridharan
2018	J	`jnl`	Deep Classification of Epileptic Signals. CoRR David Ahmedt-Aristizabal, Clinton Fookes, Kien Nguyen, Sridha Sridharan
2018	—	`conf`	Deep Motion Analysis for Epileptic Seizure Classification. EMBC David Ahmedt-Aristizabal, Kien Nguyen, Simon Denman, Sridha Sridharan, Sasha Dionisio, Clinton Fookes
2011	B	`conf`	Dynamic signature for a closed-set identification based on nonlinear analysis. IJCB David Ahmedt-Aristizabal, Edilson Delgado-Trejos, Jesús Francisco Vargas-Bonilla, Jorge Alberto Jaramillo-Garzón