Mohammad Ali Armin

According to our database, Mohammad Ali Armin authored at least 30 papers between 2015 and 2024.

Collaborative distances:

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

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

CoRR, 2024

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

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

CoRR, 2023

Weakly-supervised Point Cloud Instance Segmentation with Geometric Priors.

Heming Du, Xin Yu, Farookh Khadeer Hussain, Mohammad Ali Armin, Lars Petersson, Weihao Li

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

Underwater Image Restoration via Contrastive Learning and a Real-World Dataset.

Junlin Han, Mehrdad Shoeiby, Timothy J. Malthus, Elizabeth J. Botha, Janet M. Anstee, Saeed Anwar, Ran Wei, Mohammad Ali Armin, Hongdong Li, Lars Petersson

Remote. Sens., 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

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

You Only Cut Once: Boosting Data Augmentation with a Single Cut.

Junlin Han, Pengfei Fang, Weihao Li, Jie Hong, Mohammad Ali Armin, Ian D. Reid, Lars Petersson, Hongdong Li

Proceedings of the International Conference on Machine Learning, 2022

Declarative nets that are equilibrium models.

Russell Tsuchida, Suk Yee Yong, Mohammad Ali Armin, Lars Petersson, Cheng Soon Ong

Proceedings of the Tenth International Conference on Learning Representations, 2022

Blind Image Decomposition.

Junlin Han, Weihao Li, Pengfei Fang, Chunyi Sun, Jie Hong, Mohammad Ali Armin, Lars Petersson, Hongdong Li

Proceedings of the Computer Vision - ECCV 2022, 2022

A Hyperspectral and RGB Dataset for Building Façade Segmentation.

Nariman Habili, Ernest Kwan, Weihao Li, Christfried Webers, Jeremy Oorloff, Mohammad Ali Armin, Lars Petersson

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

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

Single Underwater Image Restoration by Contrastive Learning.

Junlin Han, Mehrdad Shoeiby, Tim J. Malthus, Elizabeth J. Botha, Janet M. Anstee, Saeed Anwar, Ran Wei, Lars Petersson, Mohammad Ali Armin

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 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

Learning To Segment Dominant Object Motion From Watching Videos.

Sahir Shrestha, Mohammad Ali Armin, Hongdong Li, Nick Barnes

Proceedings of the 2021 Digital Image Computing: Techniques and Applications, 2021

Dual Contrastive Learning for Unsupervised Image-to-Image Translation.

Junlin Han, Mehrdad Shoeiby, Lars Petersson, Mohammad Ali Armin

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

Super-resolved Chromatic Mapping of Snapshot Mosaic Image Sensors via a Texture Sensitive Residual Network.

Mehrdad Shoeiby, Lars Petersson, Mohammad Ali Armin, Mohammad Sadegh Aliakbarian, Antonio Robles-Kelly

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

OfGAN: Realistic Rendition of Synthetic Colonoscopy Videos.

Jiabo Xu, Saeed Anwar, Nick Barnes, Florian Grimpen, Olivier Salvado, Stuart Anderson, Mohammad Ali Armin

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 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

Mosaic Super-resolution via Sequential Feature Pyramid Networks.

Mehrdad Shoeiby, Mohammad Ali Armin, Mohammad Sadegh Aliakbarian, Saeed Anwar, Lars Petersson

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2018

Unsupervised Learning of Endoscopy Video Frames' Correspondences from Global and Local Transformation.

Mohammad Ali Armin, Nick Barnes, Salman H. Khan, Miaomiao Liu, Florian Grimpen, Olivier Salvado

Proceedings of the OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy, Clinical Image-Based Procedures, - and - Skin Image Analysis, 2018

Image Registration via Geometrically Constrained Total Variation Optical Flow.

Mehrdad Shoeiby, Mohammad Ali Armin, Antonio Robles-Kelly

Proceedings of the 2018 Digital Image Computing: Techniques and Applications, 2018

2017

Learning Camera Pose from Optical Colonoscopy Frames Through Deep Convolutional Neural Network (CNN).

Mohammad Ali Armin, Nick Barnes, Jose M. Alvarez, Hongdong Li, Florian Grimpen, Olivier Salvado

Proceedings of the Computer Assisted and Robotic Endoscopy and Clinical Image-Based Procedures, 2017

2016

Automated visibility map of the internal colon surface from colonoscopy video.

Mohammad Ali Armin, Girija Chetty, Hans de Visser, Cédric Dumas, Florian Grimpen, Olivier Salvado

Int. J. Comput. Assist. Radiol. Surg., 2016

2015

Visibility Map: A New Method in Evaluation Quality of Optical Colonoscopy.

Mohammad Ali Armin, Hans de Visser, Girija Chetty, Cédric Dumas, David Conlan, Florian Grimpen, Olivier Salvado

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Uninformative Frame Detection in Colonoscopy Through Motion, Edge and Color Features.

Mohammad Ali Armin, Girija Chetty, Jurgen Fripp, Hans de Visser, Cédric Dumas, Amir Fazlollahi, Florian Grimpen, Olivier Salvado

Proceedings of the Computer-Assisted and Robotic Endoscopy - Second International Workshop, 2015