82 citations · 285 across the 13 of their papers we have counts for
3 papers · 1 filter
Natural Scene Recognition Based on Superpixels and Deep Boltzmann Machines
Jinfu Yang, Jingyu Gao, Guanghui Wang +1
The Deep Boltzmann Machines (DBM) is a state-of-the-art unsupervised learning model, which has been successfully applied to handwritten digit recognition and, as well as object rec…
Exploring Human Vision Driven Features for Pedestrian Detection
Shanshan Zhang, Christian Bauckhage, Dominik A. Klein +1
Motivated by the center-surround mechanism in the human visual attention system, we propose to use average contrast maps for the challenge of pedestrian detection in street scenes…
Filtered Channel Features for Pedestrian Detection
Shanshan Zhang, Rodrigo Benenson, Bernt Schiele
This paper starts from the observation that multiple top performing pedestrian detectors can be modelled by using an intermediate layer filtering low-level features in combination…