Outputs (430)

Quantification of blood vessel calibre in retinal images of multi-ethnic school children using a model based approach (2013)
Journal Article

Multi-Organ Plant Classification Based on Convolutional and Recurrent Neural Networks (2018)
Journal Article

Action recognition on continuous video (2021)
Journal Article

An approach to localize the retinal blood vessels using bit planes and centerline detection (2012)
Journal Article

How deep learning extracts and learns leaf features for plant classification (2017)
Journal Article

Improving Dataset Volumes and Model Accuracy With Semi-Supervised Iterative Self-Learning (2020)
Journal Article

Enhanced Single Shot Small Object Detector for Aerial Imagery Using Super-Resolution, Feature Fusion and Deconvolution (2022)
Journal Article

CP-AGCN: Pytorch-based Attention Informed Graph Convolutional Network for Identifying Infants at Risk of Cerebral Palsy (2022)
Journal Article

Early prediction is clinically considered one of the essential parts of cerebral palsy (CP) treatment. We propose to implement a low-cost and interpretable classification system for supporting CP prediction based on General Movement Assessment (GMA).... Read More about CP-AGCN: Pytorch-based Attention Informed Graph Convolutional Network for Identifying Infants at Risk of Cerebral Palsy.

A Two-stream Convolutional Network for Musculoskeletal and Neurological Disorders Prediction (2022)
Journal Article

Musculoskeletal and neurological disorders are the most common causes of walking problems among older people, and they often lead to diminished quality of life. Analyzing walking motion data manually requires trained professionals and the evaluations... Read More about A Two-stream Convolutional Network for Musculoskeletal and Neurological Disorders Prediction.

A deep learning approach to fight illicit trafficking of antiquities using artefact instance classification (2022)
Journal Article

We approach the task of detecting the illicit movement of cultural heritage from a machine learning perspective by presenting a framework for detecting a known artefact in a new and unseen image. To this end, we explore the machine learning problem o... Read More about A deep learning approach to fight illicit trafficking of antiquities using artefact instance classification.

Blood vessel segmentation methodologies in retinal images - A survey (2012)
Journal Article

Reverse engineering expert visual observations: From fixations to the learning of spatial filters with a neural-gas algorithm (2013)
Journal Article

A Boundary Node Method for path planning of mobile robots (2020)
Journal Article

Simulating crowd behaviour combining both microscopic and macroscopic rules (2022)
Journal Article

Distributed Motion Planning for Safe Autonomous Vehicle Overtaking via Artificial Potential Field (2022)
Journal Article

Autonomous driving of multi-lane vehicle platoons have attracted significant attention in recent years due to their potential to enhance the traffic-carrying capacity of the roads and produce better safety for drivers and passengers. This paper propo... Read More about Distributed Motion Planning for Safe Autonomous Vehicle Overtaking via Artificial Potential Field.

Interaction-aware Decision-making for Automated Vehicles using Social Value Orientation (2022)
Journal Article

Motion control algorithms in the presence of pedestrians are critical for the development of safe and reliable Autonomous Vehicles (AVs). Traditional motion control algorithms rely on manually designed decision-making policies which neglect the mutua... Read More about Interaction-aware Decision-making for Automated Vehicles using Social Value Orientation.

Bilinear Pooling in Video-QA: Empirical Challenges and Motivational Drift from Neurological Parallels (2022)
Journal Article

Bilinear pooling (BLP) refers to a family of operations recently developed for fusing features from different modalities predominantly for visual question answering (VQA) models. Successive BLP techniques have yielded higher performance with lower co... Read More about Bilinear Pooling in Video-QA: Empirical Challenges and Motivational Drift from Neurological Parallels.

Colias: An Autonomous Micro Robot for Swarm Robotic Applications (2014)
Journal Article

Robotic swarms that take inspiration from nature are becoming a fascinating topic for multi-robot researchers. The aim is to control a large number of simple robots in order to solve common complex tasks. Due to the hardware complexities and cost of... Read More about Colias: An Autonomous Micro Robot for Swarm Robotic Applications.

Mona: an Affordable Open-Source Mobile Robot for Education and Research (2018)
Journal Article

Mobile robots are playing a significant role in Higher Education science and engineering teaching, as they offer a flexible platform to explore and teach a wide-range of topics such as mechanics, electronics and software. Unfortunately the widespread... Read More about Mona: an Affordable Open-Source Mobile Robot for Education and Research.

Local Bearing Estimation for a Swarm of Low-Cost Miniature Robots (2020)
Journal Article

Swarm robotics focuses on decentralised control of large numbers of simple robots with limited capabilities. Decentralised control in a swarm system requires a reliable communication link between the individuals that is able to provide linear and ang... Read More about Local Bearing Estimation for a Swarm of Low-Cost Miniature Robots.