Hiroshi Ishikawa

2 accepted papers

2017

Joint Gap Detection and Inpainting of Line Drawings

Kazuma Sasaki, Satoshi Iizuka, Edgar Simo-Serra, Hiroshi Ishikawa

CVPR 2017poster

We propose a novel data-driven approach for automatically detecting and completing gaps in line drawings with a Convolutional Neural Network. In the case of existing inpainting approaches for natural images, masks indicating the missing regions are generally required as input. Here, we show that lin…

Cited by 60 PDF ↗Scholar ↗

2016

Fashion Style in 128 Floats: Joint Ranking and Classification Using Weak Data for Feature Extraction

Edgar Simo-Serra, Hiroshi Ishikawa

CVPR 2016poster

We propose a novel approach for learning features from weakly-supervised data by joint ranking and classification. In order to exploit data with weak labels, we jointly train a feature extraction network with a ranking loss and a classification network with a cross-entropy loss. We obtain high-quali…

Cited by 194 PDF ↗Scholar ↗