Dr. Hakan Bilen
Hakan's research focuses on computer vision and machine learning with a emphasis on weakly/unsupervised learning, multi-task/domain/modality learning, and 3D understanding.
Academic Staff
Dr. Michael Camilleri
Michael is interested in computer vision for medical and health applications. His research encompasses medical imaging prediction (MRI/CT), probabilistic machine learning, causal modelling and time-series.
Dr. Elliot Crowley
Elliot’s research interests include efficient machine learning, neural architecture search, and weakly supervised learning in the context of computer vision.
Dr. Eleonora D'Arnese
Eleonora’s research interests are in the areas of computer vision and medical image analysis and include topics such as image registration, multi-modal learning, and domain adaptation.
Prof. Robert Fisher
Bob's research interests include topics such as 3D acquisition, cognitive vision, model based object recognition, video sequence analysis, and 3D scene understanding, among others.
Dr. Henry Gouk
Henry's research focuses on using theoretically-grounded machine learning to train, understand, and reliably leverage foundation models.
Prof. Timothy Hospedales
Tim's research focuses on data-efficient and robust machine learning using techniques such as meta-learning and lifelong transfer-learning, in both probabilistic and deep learning contexts.
Dr. Changjian Li
Changjian's research explores topics in 3D shape creation and analysis, sketch-based modeling, shape reconstruction, and medical image processing and modeling.
Dr. Oisin Mac Aodha
Oisin's current research interests are in the areas of computer vision, machine learning, fine-grained learning, 3D vision, human-in-the-loop methods, and AI for conservation.
Dr. Steven McDonagh
Steven's research interests are in the areas of computer vision and machine learning with recent directions that include unsupervised learning, multi-modal models, and meta-learning, among others.
Dr. Laura Sevilla-Lara
Laura's research focuses on motion in the visual world and includes topics such as motion estimation, temporal representation learning, action recognition, and video understanding.
Prof. Sotirios Tsaftaris
Sotos' research spans medical image computing and analysis, computer vision, machine learning, AI, and applications in the natural and life sciences.