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We have 117 Computer Vision PhD Projects, Programmes & Scholarships for Self-funded Students



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Computer Vision PhD Projects, Programmes & Scholarships for Self-funded Students

We have 117 Computer Vision PhD Projects, Programmes & Scholarships for Self-funded Students

Robust perception, decision making and path prediction for autonomous vehicles

Development of autonomous vehicles are seeing a grown in many different applications. As we increase the levels of automation and move into Self-driving cars, it is expected that these systems will combine a variety of sensors to perceive their surroundings in a robust manner and avoid human errors. Read more

Neuromorphic sensing and computing

Neuromorphic vision sensors enable the acquisition of scenes with limited energy requirements and low data rate, only acquiring information on what changes in the scene, with a behaviour similar to the one of the human eye. Read more

Medical Image Analysis using Deep Learning

Medical Image Analysis aims to extract information from available visual modalities such as Magnetic Resonance Imaging (MRI), Computed Tomography (CT) and Ultasonography (US) to detect conspicuous structures, quantigy their properties, evaluate the effectiveness of treatment or diagnose a condition. Read more

Image-based Recognition of Unidentified Featured Objects (UFOs)

With the development of deep learning approaches and convolutional neural networks (CNN) in particular, the task of recognising objects from an image has become associated with the ability to train a network using a large number of labelled images for each class of interest [He2016]. 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

Advancing Deep Learning (DL) Techniques for Medical Image Analysis

Introduction. Lately, convolutional neural networks (CNNs) have demonstrated competitive performance in medical image analysis tasks, such as disease classification, tumor segmentation, and lesion detection [1]. Read more

Advanced Behaviour and Face analytics in XR

Improvements in computer vision, and deep learning advancements, along with the introduction of smart devices and powerful computers, have stimulated research interest in the field of real-time scene analysis. Read more

Robust Computational Methods for High-Dimensional Imaging

This project aims to develop new computational algorithms to optimize the acquisition and processing of single-photon data and enable fast imaging in extreme conditions using statistical and learning based approaches.   The project is funded for 3.5 years for international students and a ~£17K annual stipend. Read more

Gesture-Agnostic Radar-Based Hand Tracking for VR/AR Systems

Supervisory Team. Dr Shelly Vishwakarma. Project description. Virtual reality (VR) and augmented reality (AR) are rapidly becoming integral to our digital experiences, necessitating the need for interfaces that are both non-intrusive and safeguard user privacy. Read more

Microbubble Coalescence in Turbulence

Supervisory Team.   Dr John Lawson. Project description. Applications are invited for a fully funded PhD position on applying computer vision (CV) and machine learning (ML) approaches to experimentally measure and model coalescence in turbulent dispersed multiphase flow. Read more

Adaptive Control of Hypersonic Systems

Adaptive control is the control method used by a controller which must adapt to a controlled system with parameters which significantly vary, or are initially contain large uncertainties. Read more

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