2016
Walk and Learn: Facial Attribute Representation Learning From Egocentric Video and Contextual Data
CVPR 2016oral
The way people look in terms of facial attributes (ethnicity, hair color, facial hair, etc.) and the clothes or accessories they wear (sunglasses, hat, hoodies, etc.) is highly dependent on geo-location and weather condition, respectively. This work explores, for the first time, the use of this cont…