School of Computer Science and Statistics
This project will investigate whether multiple NVIDIA Jetson edge devices can collaboratively train and improve an AI occupancy-detection model without transferring raw video or image data between sites. The student will build and evaluate a federated learning setup in which devices train locally and contribute model updates to a shared global model, while accounting for … Read more
This project will investigate whether an AI-based occupancy detection system performs consistently across different demographic and environmental conditions. Using a commercial computer-vision model, the student will design and conduct an independent evaluation of person-detection performance across skin-tone groups and conditions such as lighting, occlusion, camera angle, distance, and background contrast. The project will involve dataset … Read more
Over the years I have found that many students who propose their own projects using computer vision have been very successful – probably because they are strongly motivated by the subject matter. So if you have an idea for a project in a field which interests you please contact me. The biggest issues are usually … Read more
Can we tell something about a person from the way they move, even when their appearance has been completely changed? In this project, the student will use selected interactions from Meta’s Seamless Interaction dataset to create animated MetaHuman characters in Unreal Engine 5. Real conversational motion will be transferred onto virtual characters whose appearance differs … Read more
Eye gaze plays a fundamental role in face-to-face communication, signalling attention, engagement, turn-taking and social intent. However, gaze is often studied from the perspective of only one participant. This project will create a new dataset of synchronised eye movements from pairs of people engaged in natural social interactions, using two wearable Pupil Labs eye-tracking headsets. … Read more
Recent advances in generative AI make it possible to realistically transform both a person’s face and voice while preserving their underlying behaviour. This project will develop an interactive AI virtual mirror in which participants see their face transformed into another photorealistic identity while their own facial expressions and head movements drive the generated face. The … Read more
This project seeks to build a solution for modelling and interactive realistic 3D rendering of home interiors. There already exist many applications that (a) capture building interiors in realistic 3D (b) create a 3D model of a house based on a simple app, and (c) simulate placement of furniture in a real space This project … Read more
Multimodal Learning for DeepFake Detection In recent years, the rise of deepfakes—videos that are digitally altered using artificial intelligence (AI) to convincingly depict false events or individuals has sparked significant concerns about the reliability of visual content captured by surveillance systems. This project is driven by the recognition that traditional methods of detecting video manipulation … Read more
Automated surveillance is widely opted for applications such as traffic monitoring, vehicle identification, etc . But, various weather degradation factors such as rain and snow streaks, along with atmospheric veil severely affect the perceptual quality of an image, eventually affecting the performance of these applications. There exist weather specific (rain, haze, snow, etc .) methods … Read more
Are you interested in researching generative AI techniques for visual content creation?
In this project, we will explore generative AI with a focus on image, video, and 3D content creation and editing. You will build up your background in computer graphics and computer vision and conduct research in the following themes including latent diffusion models and neural radiance fields.