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We have 126 computer vision PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships
computer vision PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships
We have 126 computer vision PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships
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Computer Vision with Deep Learning for Human Data Modelling
This project aims at deep learning algorithms to model human data such as human images/video, 3D skeletal motion, 3D body/facial surfaces for computer vision tasks such as recognition, prediction and reconstruction. Read more
A computer vision model to detect black mold
The goal of this PhD project is to develop cutting-edge computer vision models that can effectively detect black mold in various environments. Read more
Designing the next generation of 3D-printers using Robotics, Computer Vision and Artificial Intelligence
REFERENCE NUMBER. Please select SCEBE/22SF/Parrilla. BACKGROUND AND AIMS. In this project you will design the next generation of 3D-printers. Read more
Computer vision in astronomical and manufacturing processes
The project revolves around the application of computer vision techniques developed for the analysis of astronomical images to the field of quality assurance within the inspection of jet engine components used for the aerospace industry. Read more
Artificial Intelligence - Computer Vision
Our research efforts aim to understand the nature of visual perception so that we can create more visually intelligent machines. This is enabled via fundamental concepts in reasoning, prediction, supervised, semi-supervised and unsupervised learning, and stochastic optimization techniques. Read more
Computer vision: male c-elegan mating behavious anlaysis
Computer vision technology can be used in behaviour analysis. Read more
Human Motion Analysis using Computer Vision and Deep Learning
Analysis of human motion is implicitly or explicitly required in many areas such as healthcare, sports, video surveillance, body-based user interfaces and computer games and animation. Read more
Deep Learning and Computer Vision for Forensic Analysis and the Interpretation of Footwear Marks.
Footwear marks – impressions left by the sole of a shoe – are a key evidence type used to associate footwear to a place where a criminal activity may have occurred or as an intelligence tool used to link places together. Read more
Computer Vision for Ambient Assisted Living
Applications are invited for a self-funded, 3-year full-time or 6-year part time PhD project. The PhD will be based in the School of Computing and will be supervised by . Read more
Uncertainty quantification in computer vision and natural language processing for medical imaging
This project aims to develop novel uncertainty methodologies and a software toolkit with uncertainty awareness for radiograph-based disease detection. Read more
Computer vision and robot control for performing on-wing repair of aero-engines - (ENG - 1398X1)
Rolls-Royce University Technology Centre (UTC) in manufacturing and On-Wing Technology, The University of Nottingham. Applicants are invited to undertake a 3 year PhD programme in partnership with industry to address key challenges in on-platform manufacturing engineering. Read more
Semi-Supervised, Unsupervised, and Self-Supervised Transfer Learning for Computer Vision
Transfer learning has been demonstrated to improve the generalisation of deep neural networks to real-world applications, especially in situations where labelled training sets are missing. Read more
Unlocking the secrets of nature's colour palette with machine learning
The natural world contains an awe-inspiring variety of colouration across plant and animal species, but the causes of this diversity are not well understood. Read more
Machine Learning for Long-Term Video Understanding
Applications are invited for a fully funded PhD studentship in Computer Vision and Machine Learning on the topic of Long-Term Video Understanding. . Read more
Machine learning and computer vision for localisation, classification, and quantification of structural damage
Inspection and maintenance are essential to ensure the serviceability and safety of bridges. Current inspection on site is often done manually on paper, and paper is the medium to exchange condition information between the involved stakeholders. Read more