Learning data representations is a fundamental challenge in modeling neural processes and plays an important role in applications such as object recognition. In multi-stage Optima...
Recent computational approaches to action imitation have advocated the use of hierarchical representations in the perception and imitation of demonstrated actions. Hierarchical re...
In large-scale simulations involving complex scenes, such as cities inhabited by crowds, simplifications are almost always necessary to achieve interactive frame-rates. Level of D...
John Hamill, Rachel McDonnell, Simon Dobbyn, Carol...
We present Volume dots (Vots), a new primitive for volumetric data modelling, processing, and rendering. Vots are a point-based representation of volumetric data. An individual Vo...
Analysis of human perception of motion shows that information for representing the motion is obtained from the dramatic changes in the speed and direction of the trajectory. In thi...