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We have 107 Computer Vision PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships
Computer Vision PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships
We have 107 Computer Vision PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships
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PhD Studentship in Computer Science – Low Power and High-Performance Neuromorphic Vision System
Overview. Prompt reaction to an interesting event is a critical feature for any embedded system for safe and reliable interaction with the environment. Read more
Human Inspired Video Recognition using top down and bottom-up features
How does the human brain understand people's activities in a scene much better than existing computer systems? It is proposed that humans combine prior knowledge of people and objects in the scene with sensory information (e.g., colour or motion) to understand complex activities even if they are similar actions (e.g., hugging vs fighting). Read more
Human and Computer Representation of Images Synthesised by Generative Adversarial Networks
Generative adversarial networks (GANs) are a family of cutting-edge Machine Learning techniques that allow users to generate large numbers of images (or other real-world data such as language, sounds, etc.). Read more
Developing Multimodal AI for Personalized Cancer Diagnosis
1:2 people will get cancer in their lifetimes. Performing diagnosis earlier, more accurately, and in ways personalized to patient will improve treatment, life expectancy, and patent health. Read more
Improving Accessibility Through AI-Assisted Sensory Augmentation
Applications are invited for a University of Stirling-funded PhD examining the use of augmented reality assistive technologies to support accessibility and inclusion. Read more
Assembly and Robotics Innovation in Steel Building Erection (ARISE)
This exciting project unites economists, civil engineers, computer scientists, robotics experts and safety specialists across a number of countries to consider the development and introduction of a new type of structural steel connection that is designed for rapid assembly, disassembly, and robotic assembly. Read more
More real than reality: using deep learning and generative models to resolve how people make sense of other people’s behaviour.
This project sits at the intersection of AI/deep learning and psychological research into people’s ability for making sense of the behaviour of other people. Read more
A novel Artificial Intelligence Method for inferencing impaired cognition trajectories from MRI data in patients with Alzheimer’s dementia
Alzheimer’s disease (AD) is the most common type of dementia and a growing public health concern currently affecting over 50 million people globally, with an expected rise to more than 150 million by 2050. Read more
Transformations in memory representations of naturalistic stimuli over extended periods of consolidation
Memories are the traces that experiences leave in brain and behaviour. How continuous experiences are transformed into durable memories remains one of the big mysteries in psychology and neuroscience. Read more
AI applications for surround camera imaging
Using projective geometry for surround camera stitching produces obvious visual artifacts in images. To produce a true-to-life metric rendering of… Read more
Embedding physical models into deep neural networks for sonar detection (co-funded by SeeByte Ltd)
Deep Neural Networks (DNNs) achieve the state-of-the-art performance in several tasks in computer vision, natural language processing, image reconstruction, and many other areas. Read more
Vehicle Re-Identification Using Self-Supervised Vision Transformers
Vehicle re-identification (Re-ID) is one of the primary components of an automated visual surveillance system. It aims to automatically identify/search vehicles in a multi-camera network usually having non- overlapping field-of-views. Read more
Zero-Shot Learning for 3D Point Cloud Segmentation
Zero-shot learning is the task of learning new classes that are not seen during training. It has received a lot of attention in recent years particularly in deep neural networks (DNNs) based 2D image classification. Read more
3D computer vision-based guidance system for cardiac interventional procedures (MAYL_U23SCID)
About the Project. X-ray fluoroscopy is a type of medical imaging that shows a continuous X-ray image on a monitor. Surgeons use it to guide devices (e.g. Read more
Last chance to apply
Machine Learning for Structural Damage Detection in Psoriatic Arthritis Hand Radiographs
The University of Bath is inviting applications for the following fully funded PhD project commencing in October 2023. Supervisory Team. Read more