Artificial intelligence (AI) is the intelligence exhibited by machines or software. One of the central problems of AI research is machine perception, i.e. the ability to understand the visual world based on the input from sensors such as cameras.
Computer vision is the area which analyses visual input. A few selected sub-problems are facial recognition, object recognition and activity recognition.
In this talk, Dr Cordelia Schmid presented recent progress in visual understanding, for the most part due to the design of robust visual representations and learned models capturing the variability of the visual world.
Progress has resulted in technology for a variety of applications and a few such examples will be presented. The gap between human and machine performance is still enormous, and so future research necessary to reduce this gap will also be discussed.
Main lecture
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