Search Results for author: Mohammad Ali Armin

Found 20 papers, 5 papers with code

Deep Learning Approaches for Seizure Video Analysis: A Review

no code implementations18 Dec 2023 David Ahmedt-Aristizabal, Mohammad Ali Armin, Zeeshan Hayder, Norberto Garcia-Cairasco, Lars Petersson, Clinton Fookes, Simon Denman, Aileen McGonigal

We systematically present these methods and indicate how the adoption of deep learning for the analysis of video recordings of seizures could be approached.

Decision Making Motion Detection

A Hyperspectral and RGB Dataset for Building Facade Segmentation

no code implementations6 Dec 2022 Nariman Habili, Ernest Kwan, Weihao Li, Christfried Webers, Jeremy Oorloff, Mohammad Ali Armin, Lars Petersson

Hyperspectral Imaging (HSI) provides detailed spectral information and has been utilised in many real-world applications.

Semantic Segmentation

Automated Coronary Arteries Labeling Via Geometric Deep Learning

no code implementations1 Dec 2022 Yadan Li, Mohammad Ali Armin, Simon Denman, David Ahmedt-Aristizabal

Automatic labelling of anatomical structures, such as coronary arteries, is critical for diagnosis, yet existing (non-deep learning) methods are limited by a reliance on prior topological knowledge of the expected tree-like structures.

graph construction

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

no code implementations8 Aug 2022 Pengbo Wei, David Ahmedt-Aristizabal, Harshala Gammulle, Simon Denman, Mohammad Ali Armin

Advances in machine learning and contactless sensors have enabled the understanding complex human behaviors in a healthcare setting.

Activity Recognition

The CSIRO Crown-of-Thorn Starfish Detection Dataset

no code implementations29 Nov 2021 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

Crown-of-Thorn Starfish (COTS) outbreaks are a major cause of coral loss on the Great Barrier Reef (GBR) and substantial surveillance and control programs are underway in an attempt to manage COTS populations to ecologically sustainable levels.

BIG-bench Machine Learning Management

Learning To Segment Dominant Object Motion From Watching Videos

no code implementations28 Nov 2021 Sahir Shrestha, Mohammad Ali Armin, Hongdong Li, Nick Barnes

Existing deep learning based unsupervised video object segmentation methods still rely on ground-truth segmentation masks to train.

Object Optical Flow Estimation +4

Declarative nets that are equilibrium models

no code implementations ICLR 2022 Russell Tsuchida, Suk Yee Yong, Mohammad Ali Armin, Lars Petersson, Cheng Soon Ong

We show that using a kernelised generalised linear model (kGLM) as an inner problem in a DDN yields a large class of commonly used DEQ architectures with a closed-form expression for the hidden layer parameters in terms of the kernel.

Blind Image Decomposition

1 code implementation25 Aug 2021 Junlin Han, Weihao Li, Pengfei Fang, Chunyi Sun, Jie Hong, Mohammad Ali Armin, Lars Petersson, Hongdong Li

We propose and study a novel task named Blind Image Decomposition (BID), which requires separating a superimposed image into constituent underlying images in a blind setting, that is, both the source components involved in mixing as well as the mixing mechanism are unknown.

Rain Removal

A Survey on Graph-Based Deep Learning for Computational Histopathology

no code implementations1 Jul 2021 David Ahmedt-Aristizabal, Mohammad Ali Armin, Simon Denman, Clinton Fookes, Lars Petersson

With the remarkable success of representation learning for prediction problems, we have witnessed a rapid expansion of the use of machine learning and deep learning for the analysis of digital pathology and biopsy image patches.

graph construction Image Retrieval +4

Towards Interpretable Attention Networks for Cervical Cancer Analysis

no code implementations27 May 2021 Ruiqi Wang, Mohammad Ali Armin, Simon Denman, Lars Petersson, David Ahmedt-Aristizabal

Here, we evaluate various state-of-the-art deep learning models and attention-based frameworks for the classification of images of multiple cervical cells.


Dual Contrastive Learning for Unsupervised Image-to-Image Translation

3 code implementations15 Apr 2021 Junlin Han, Mehrdad Shoeiby, Lars Petersson, Mohammad Ali Armin

Unsupervised image-to-image translation tasks aim to find a mapping between a source domain X and a target domain Y from unpaired training data.

Contrastive Learning Translation +1

Mosaic Super-resolution via Sequential Feature Pyramid Networks

no code implementations15 Apr 2020 Mehrdad Shoeiby, Mohammad Ali Armin, Sadegh Aliakbarian, Saeed Anwar, Lars Petersson

Additionally, to the best of our knowledge, our method is the first specialized method to super-resolve mosaic images, whether it be multi-spectral or Bayer.

Astronomy Autonomous Driving +1

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

no code implementations5 Sep 2019 Mehrdad Shoeiby, Lars Petersson, Mohammad Ali Armin, Sadegh Aliakbarian, Antonio Robles-Kelly

This paper introduces a novel method to simultaneously super-resolve and colour-predict images acquired by snapshot mosaic sensors.

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