Mohammad Ali Armin

55 papers A* 2A 2C 1Misc 4Journal 30Unranked 16
YearRankTypeTitle / Venue / Authors
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
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
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 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
Computer Vision for Clinical Gait Analysis: A Gait Abnormality Video Dataset.
CoRR
Rahm Ranjan, David Ahmedt-Aristizabal, Mohammad Ali Armin, Juno Kim
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 — 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 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 — 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
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
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
2023 A conf
Weakly-supervised Point Cloud Instance Segmentation with Geometric Priors.
WACV
Heming Du, Xin Yu, Farookh Khadeer Hussain, Mohammad Ali Armin, Lars Petersson, Weihao Li
2022 J jnl
A Hyperspectral and RGB Dataset for Building Facade Segmentation.
CoRR
Nariman Habili, Ernest Kwan, Weihao Li, Christfried Webers, Jeremy Oorloff, Mohammad Ali Armin, Lars Petersson
2022 — conf
A Hyperspectral and RGB Dataset for Building Façade Segmentation.
ECCV Workshops (7)
Nariman Habili, Ernest Kwan, Weihao Li, Christfried Webers, Jeremy Oorloff, Mohammad Ali Armin, Lars Petersson
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 — conf
Blind Image Decomposition.
ECCV (18)
Junlin Han, Weihao Li, Pengfei Fang, Chunyi Sun, Jie Hong, Mohammad Ali Armin, Lars Petersson, Hongdong Li
2022 A* conf
Declarative nets that are equilibrium models.
ICLR
Russell Tsuchida, Suk Yee Yong, Mohammad Ali Armin, Lars Petersson, Cheng Soon Ong
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 J jnl
Underwater Image Restoration via Contrastive Learning and a Real-World Dataset.
Remote. Sens.
Junlin Han, Mehrdad Shoeiby, Timothy J. Malthus, Elizabeth J. Botha, Janet M. Anstee, Saeed Anwar, Ran Wei, Mohammad Ali Armin, Hongdong Li, Lars Petersson
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
2022 A* conf
You Only Cut Once: Boosting Data Augmentation with a Single Cut.
ICML
Junlin Han, Pengfei Fang, Weihao Li, Jie Hong, Mohammad Ali Armin, Ian D. Reid, Lars Petersson, Hongdong Li
2022 J jnl
You Only Cut Once: Boosting Data Augmentation with a Single Cut.
CoRR
Junlin Han, Pengfei Fang, Weihao Li, Jie Hong, Mohammad Ali Armin, Ian D. Reid, Lars Petersson, Hongdong Li
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
Blind Image Decomposition.
CoRR
Junlin Han, Weihao Li, Pengfei Fang, Chunyi Sun, Jie Hong, Mohammad Ali Armin, Lars Petersson, Hongdong Li
2021 — conf
Dual Contrastive Learning for Unsupervised Image-to-Image Translation.
CVPR Workshops
Junlin Han, Mehrdad Shoeiby, Lars Petersson, Mohammad Ali Armin
2021 J jnl
Dual Contrastive Learning for Unsupervised Image-to-Image Translation.
CoRR
Junlin Han, Mehrdad Shoeiby, Lars Petersson, Mohammad Ali Armin
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
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 Misc conf
Learning To Segment Dominant Object Motion From Watching Videos.
DICTA
Sahir Shrestha, Mohammad Ali Armin, Hongdong Li, Nick Barnes
2021 J jnl
Learning To Segment Dominant Object Motion From Watching Videos.
CoRR
Sahir Shrestha, Mohammad Ali Armin, Hongdong Li, Nick Barnes
2021 C conf
Single Underwater Image Restoration by Contrastive Learning.
IGARSS
Junlin Han, Mehrdad Shoeiby, Tim J. Malthus, Elizabeth J. Botha, Janet M. Anstee, Saeed Anwar, Ran Wei, Lars Petersson, Mohammad Ali Armin
2021 J jnl
Single Underwater Image Restoration by Contrastive Learning.
CoRR
Junlin Han, Mehrdad Shoeiby, Tim J. Malthus, Elizabeth J. Botha, Janet M. Anstee, Saeed Anwar, Ran Wei, Lars Petersson, Mohammad Ali Armin
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 J jnl
Underwater Image Restoration via Contrastive Learning and a Real-world Dataset.
CoRR
Junlin Han, Mehrdad Shoeiby, Tim J. Malthus, Elizabeth J. Botha, Janet M. Anstee, Saeed Anwar, Ran Wei, Mohammad Ali Armin, Hongdong Li, Lars Petersson
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
Mosaic Super-resolution via Sequential Feature Pyramid Networks.
CVPR Workshops
Mehrdad Shoeiby, Mohammad Ali Armin, Mohammad Sadegh Aliakbarian, Saeed Anwar, Lars Petersson
2020 J jnl
Mosaic Super-resolution via Sequential Feature Pyramid Networks.
CoRR
Mehrdad Shoeiby, Mohammad Ali Armin, Mohammad Sadegh Aliakbarian, Saeed Anwar, Lars Petersson
2020 — conf
OfGAN: Realistic Rendition of Synthetic Colonoscopy Videos.
MICCAI (3)
Jiabo Xu, Saeed Anwar, Nick Barnes, Florian Grimpen, Olivier Salvado, Stuart Anderson, Mohammad Ali Armin
2020 A conf
Super-resolved Chromatic Mapping of Snapshot Mosaic Image Sensors via a Texture Sensitive Residual Network.
WACV
Mehrdad Shoeiby, Lars Petersson, Mohammad Ali Armin, Mohammad Sadegh Aliakbarian, Antonio Robles-Kelly
2019 J jnl
Super-resolved Chromatic Mapping of Snapshot Mosaic Image Sensors via a Texture Sensitive Residual Network.
CoRR
Mehrdad Shoeiby, Lars Petersson, Mohammad Ali Armin, Mohammad Sadegh Aliakbarian, Antonio Robles-Kelly
2018 Misc conf
Image Registration via Geometrically Constrained Total Variation Optical Flow.
DICTA
Mehrdad Shoeiby, Mohammad Ali Armin, Antonio Robles-Kelly
2018 — conf
Unsupervised Learning of Endoscopy Video Frames' Correspondences from Global and Local Transformation.
OR 2.0/CARE/CLIP/ISIC@MICCAI
Mohammad Ali Armin, Nick Barnes, Salman H. Khan, Miaomiao Liu, Florian Grimpen, Olivier Salvado
2017 — conf
Learning Camera Pose from Optical Colonoscopy Frames Through Deep Convolutional Neural Network (CNN).
CARE/CLIP@MICCAI
Mohammad Ali Armin, Nick Barnes, José M. Álvarez, Hongdong Li, Florian Grimpen, Olivier Salvado
2016 J jnl
Automated visibility map of the internal colon surface from colonoscopy video.
Int. J. Comput. Assist. Radiol. Surg.
Mohammad Ali Armin, Girija Chetty, Hans de Visser, Cédric Dumas, Florian Grimpen, Olivier Salvado
2015 — conf
Uninformative Frame Detection in Colonoscopy Through Motion, Edge and Color Features.
CARE@MICCAI
Mohammad Ali Armin, Girija Chetty, Jurgen Fripp, Hans de Visser, Cédric Dumas, Amir Fazlollahi, Florian Grimpen, Olivier Salvado
2015 — conf
Visibility Map: A New Method in Evaluation Quality of Optical Colonoscopy.
MICCAI (1)
Mohammad Ali Armin, Hans de Visser, Girija Chetty, Cédric Dumas, David Conlan, Florian Grimpen, Olivier Salvado