BVI Seminar: Eye Movements in Low and Normally Sighted Vision

Seminar Room, Life Sciences Building Tyndall Avenue, Bristol

Brian Sullivan, University of Bristol, School of Experimental Psychology  I will present two studies examining human eye movements and discuss my role at the University of Bristol. The first study concerns patients […]

BVISS: Augmenting vision, the easy and the hard way

Seminar Room, Life Sciences Building Tyndall Avenue, Bristol

Dr Stephen Hicks - Oxford University - Research Fellow in Neuroscience and Visual Prosthetics, Nuffield Department of Clinical Neurosciences Mobile computing, augmented reality, deep learning. Consumer-grade devices are coming of […]

VILSS: How to tag billions of photos: The evolution of image auto-tagging from a technology to a global service​

MVB 0.3 BS81UB, Bristol, United Kingdom

Dr Stavri Nikolov, Imagga Technologies, Co-fouder and Research Director  Imagga (https://imagga.com/) is one of the pioneers in the world in large-scale image tagging. Our cloud and on-premise software solutions have analysed and tagged billions of photos of various clients from around the world, ranging from telcos and cloud service providers to digital media companies, stock […]

BVISS: Pattern Recognition without Features or Training

Seminar Room, Life Sciences Building Tyndall Avenue, Bristol

Professor Fred Stentiford - UCL Pattern recognition is usually implemented through the use of a selected set of plausible features that characterise the data being studied. In addition it is […]

BVISS: Learning to synthesize signals and images

Seminar Room, Life Sciences Building Tyndall Avenue, Bristol

Dr Sotirios Tsaftaris - School of Engineering, Edinburgh University Abstract:   An increasing population and climate change put pressure on several societally important domains. Health costs are increasing and at the same […]

BVISS: Action localization without spatiotemporal supervision

Seminar Room, Life Sciences Building Tyndall Avenue, Bristol

Dr Cees Snoek - Faculty of Science, University of Amsterdam Abstract Understanding what activity is happening where and when in video content is crucial for video computing, communication and intelligence. In the literature, the […]