Prof. Greg Mori on deep structured models for human activity
March 5, 2018
Visual recognition involves reasoning about structured relations at multiple levels of detail. For example, human behaviour analysis requires comprehensive labeling covering individual low-level actions to pair-wise interactions through to high-level events. Scene understanding can benefit from considering labels and their inter-relations. In this talk, Prof. Greg Mori presents recent work on deep learning approaches capable of modeling these structures.