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ORCIDMohammad Ali Armin
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2020 – today
- 2022
[j3]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)- [c17]Russell Tsuchida, Suk Yee Yong, Mohammad Ali Armin, Lars Petersson, Cheng Soon Ong:
Declarative nets that are equilibrium models. ICLR 2022 - [c16]Junlin Han, Pengfei Fang, Weihao Li, Jie Hong, Mohammad Ali Armin, Ian D. Reid, Lars Petersson, Hongdong Li:
You Only Cut Once: Boosting Data Augmentation with a Single Cut. ICML 2022: 8196-8212 - [c15]Ting Cao, Mohammad Ali Armin, Simon Denman, Lars Petersson, David Ahmedt-Aristizabal:
In-Bed Human Pose Estimation from Unseen and Privacy-Preserving Image Domains. ISBI 2022: 1-5 - [i15]Junlin Han, Pengfei Fang, Weihao Li, Jie Hong, Mohammad Ali Armin, Ian D. Reid, Lars Petersson, Hongdong Li:
You Only Cut Once: Boosting Data Augmentation with a Single Cut. CoRR abs/2201.12078 (2022) - [i14]Pengbo Wei, David Ahmedt-Aristizabal, Harshala Gammulle, Simon Denman, Mohammad Ali Armin:
Vision-Based Activity Recognition in Children with Autism-Related Behaviors. CoRR abs/2208.04206 (2022) - 2021
- [j2]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) - [c14]Junlin Han, Mehrdad Shoeiby, Lars Petersson, Mohammad Ali Armin:
Dual Contrastive Learning for Unsupervised Image-to-Image Translation. CVPR Workshops 2021: 746-755 - [c13]Sahir Shrestha, Mohammad Ali Armin, Hongdong Li, Nick Barnes:
Learning To Segment Dominant Object Motion From Watching Videos. DICTA 2021: 1-8 - [c12]Ziqing Wang, Mohammad Ali Armin, Simon Denman, Lars Petersson, David Ahmedt-Aristizabal:
Video-Based Inpatient Fall Risk Assessment: A Case Study. EMBC 2021: 2601-2604 - [c11]Ruiqi Wang, Mohammad Ali Armin, Simon Denman, Lars Petersson, David Ahmedt-Aristizabal:
Towards Interpretable Attention Networks for Cervical Cancer Analysis. EMBC 2021: 3613-3616 - [c10]Junlin Han, Mehrdad Shoeiby, Tim J. Malthus, Elizabeth J. Botha, Janet M. Anstee, Saeed Anwar, Ran Wei, Lars Petersson, Mohammad Ali Armin:
Single Underwater Image Restoration by Contrastive Learning. IGARSS 2021: 2385-2388 - [i13]Junlin Han, Mehrdad Shoeiby, Tim J. Malthus, Elizabeth J. Botha, Janet M. Anstee, Saeed Anwar, Ran Wei, Lars Petersson, Mohammad Ali Armin:
Single Underwater Image Restoration by Contrastive Learning. CoRR abs/2103.09697 (2021) - [i12]Junlin Han, Mehrdad Shoeiby, Lars Petersson, Mohammad Ali Armin:
Dual Contrastive Learning for Unsupervised Image-to-Image Translation. CoRR abs/2104.07689 (2021) - [i11]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. CoRR abs/2105.13137 (2021) - [i10]Ruiqi Wang, Mohammad Ali Armin, Simon Denman, Lars Petersson, David Ahmedt-Aristizabal:
Towards Interpretable Attention Networks for Cervical Cancer Analysis. CoRR abs/2106.00557 (2021) - [i9]Ziqing Wang, Mohammad Ali Armin, Simon Denman, Lars Petersson, David Ahmedt-Aristizabal:
Video-Based Inpatient Fall Risk Assessment: A Case Study. CoRR abs/2106.07565 (2021) - [i8]Junlin Han, Mehrdad Shoeiby, Tim J. Malthus, Elizabeth J. Botha, Janet M. Anstee, Saeed Anwar, Ran Wei, Mohammad Ali Armin, Hongdong Li, Lars Petersson:
Underwater Image Restoration via Contrastive Learning and a Real-world Dataset. CoRR abs/2106.10718 (2021) - [i7]David Ahmedt-Aristizabal, Mohammad Ali Armin, Simon Denman, Clinton Fookes, Lars Petersson:
A Survey on Graph-Based Deep Learning for Computational Histopathology. CoRR abs/2107.00272 (2021) - [i6]Junlin Han, Weihao Li, Pengfei Fang, Chunyi Sun, Jie Hong, Mohammad Ali Armin, Lars Petersson, Hongdong Li:
Blind Image Decomposition. CoRR abs/2108.11364 (2021) - [i5]Sahir Shrestha, Mohammad Ali Armin, Hongdong Li, Nick Barnes:
Learning To Segment Dominant Object Motion From Watching Videos. CoRR abs/2111.14160 (2021) - [i4]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:
The CSIRO Crown-of-Thorn Starfish Detection Dataset. CoRR abs/2111.14311 (2021) - [i3]Ting Cao, Mohammad Ali Armin, Simon Denman, Lars Petersson, David Ahmedt-Aristizabal:
In-Bed Human Pose Estimation from Unseen and Privacy-Preserving Image Domains. CoRR abs/2111.15124 (2021) - 2020
- [c9]Mehrdad Shoeiby, Mohammad Ali Armin, Mohammad Sadegh Aliakbarian, Saeed Anwar, Lars Petersson:
Mosaic Super-resolution via Sequential Feature Pyramid Networks. CVPR Workshops 2020: 378-387 - [c8]David Ahmedt-Aristizabal, Mohammad Ali Armin, Simon Denman, Clinton Fookes, Lars Petersson:
Attention Networks for Multi-Task Signal Analysis. EMBC 2020: 184-187 - [c7]Jiabo Xu, Saeed Anwar, Nick Barnes, Florian Grimpen, Olivier Salvado, Stuart Anderson, Mohammad Ali Armin:
OfGAN: Realistic Rendition of Synthetic Colonoscopy Videos. MICCAI (3) 2020: 732-741 - [c6]Mehrdad Shoeiby, Lars Petersson, Mohammad Ali Armin, Mohammad Sadegh Aliakbarian, Antonio Robles-Kelly:
Super-resolved Chromatic Mapping of Snapshot Mosaic Image Sensors via a Texture Sensitive Residual Network. WACV 2020: 2793-2802 - [i2]Mehrdad Shoeiby, Mohammad Ali Armin, Mohammad Sadegh Aliakbarian, Saeed Anwar, Lars Petersson:
Mosaic Super-resolution via Sequential Feature Pyramid Networks. CoRR abs/2004.06853 (2020)
2010 – 2019
- 2019
- [i1]Mehrdad Shoeiby, Lars Petersson, Mohammad Ali Armin, Mohammad Sadegh Aliakbarian, Antonio Robles-Kelly:
Super-resolved Chromatic Mapping of Snapshot Mosaic Image Sensors via a Texture Sensitive Residual Network. CoRR abs/1909.02221 (2019) - 2018
- [c5]Mehrdad Shoeiby, Mohammad Ali Armin, Antonio Robles-Kelly:
Image Registration via Geometrically Constrained Total Variation Optical Flow. DICTA 2018: 1-7 - [c4]Mohammad Ali Armin, Nick Barnes, Salman H. Khan, Miaomiao Liu, Florian Grimpen, Olivier Salvado:
Unsupervised Learning of Endoscopy Video Frames' Correspondences from Global and Local Transformation. OR 2.0/CARE/CLIP/ISIC@MICCAI 2018: 108-117 - 2017
- [c3]Mohammad Ali Armin, Nick Barnes, Jose M. Alvarez, Hongdong Li, Florian Grimpen, Olivier Salvado:
Learning Camera Pose from Optical Colonoscopy Frames Through Deep Convolutional Neural Network (CNN). CARE/CLIP@MICCAI 2017: 50-59 - 2016
- [j1]Mohammad Ali Armin, Girija Chetty, Hans de Visser, Cédric Dumas, Florian Grimpen, Olivier Salvado:
Automated visibility map of the internal colon surface from colonoscopy video. Int. J. Comput. Assist. Radiol. Surg. 11(9): 1599-1610 (2016) - 2015
- [c2]Mohammad Ali Armin, Girija Chetty, Jurgen Fripp, Hans de Visser, Cédric Dumas, Amir Fazlollahi, Florian Grimpen, Olivier Salvado:
Uninformative Frame Detection in Colonoscopy Through Motion, Edge and Color Features. CARE@MICCAI 2015: 153-162 - [c1]Mohammad Ali Armin, Hans de Visser, Girija Chetty, Cédric Dumas, David Conlan, Florian Grimpen, Olivier Salvado:
Visibility Map: A New Method in Evaluation Quality of Optical Colonoscopy. MICCAI (1) 2015: 396-404
Coauthor Index
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