Learning Spatio-Temporal Features with 3D Residual Networks for Action Recognition - researchr publication authors

researchr

You are not signed in
Sign in
Sign up

Kensho Hara, Hirokatsu Kataoka, Yutaka Satoh. Learning Spatio-Temporal Features with 3D Residual Networks for Action Recognition. In 2017 IEEE International Conference on Computer Vision Workshops, ICCV Workshops 2017, Venice, Italy, October 22-29, 2017. pages 3154-3160, IEEE Computer Society, 2017. [doi]

This author has not been identified. Look up 'Kensho Hara' in GoogleThis author has not been identified. Look up 'Hirokatsu Kataoka' in GoogleThis author has not been identified. Look up 'Yutaka Satoh' in Google

runs on WebDSL