Anna Hughes, University College London Abstract: `Motion dazzle' is the hypothesis that certain types of patterns, such as high contrast stripes and zigzags, can cause misperceptions in the speed and direction perception of moving targets. Motion dazzle is relevant to both ecological questions, including why striped patterning may have evolved in animals such as zebras, […]

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 with central vision loss who often adopt a preferred retinal locus (PRL), a region in peripheral vision used for fixation as alternative to the damaged […]

Jasna Martinovic, University of Aberdeen What is the nature of representations that sustain attention to colour? In other words, is attention to colour predominantly determined by the low-level, cone-opponent chromatic mechanisms established at subcortical processing stages, or by the multiple narrowly-tuned higher-level chromatic mechanisms established in the cortex? These questions remain unresolved in spite of […]

Seminar title, abstract and biography to be announced

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 age with a dazzling array of technologies and potentials. While tech giants search for killer apps, there are sectors of society who have well defined […]

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 time feeding the world becomes a challenge. Imaging (and sensing) is central to furthering our understanding of biology not   only in its diagnostic capacity […]

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 common tactic for action localization is to learn a deep classifier on hard to obtain spatiotemporal annotations and to apply it at test time on an […]