77 citations · 137 across the 22 of their papers we have counts for
3 papers · 1 filter
Feedback-prop: Convolutional Neural Network Inference under Partial Evidence
Tianlu Wang, Kota Yamaguchi, Vicente Ordonez
We propose an inference procedure for deep convolutional neural networks (CNNs) when partial evidence is available. Our method consists of a general feedback-based propagation appr…
End-to-end learning potentials for structured attribute prediction
Kota Yamaguchi, Takayuki Okatani, Takayuki Umeda +2
We present a structured inference approach in deep neural networks for multiple attribute prediction. In attribute prediction, a common approach is to learn independent classifiers…
Looking at Outfit to Parse Clothing
Pongsate Tangseng, Zhipeng Wu, Kota Yamaguchi
This paper extends fully-convolutional neural networks (FCN) for the clothing parsing problem. Clothing parsing requires higher-level knowledge on clothing semantics and contextual…