687 citations · 855 across the 11 of their papers we have counts for
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Improving Multi-Person Pose Estimation using Label Correction
Naoki Kato, Tianqi Li, Kohei Nishino +1
Significant attention is being paid to multi-person pose estimation methods recently, as there has been rapid progress in the field owing to convolutional neural networks. Especial…
Full-body High-resolution Anime Generation with Progressive Structure-conditional Generative Adversarial Networks
Koichi Hamada, Kentaro Tachibana, Tianqi Li +2
We propose Progressive Structure-conditional Generative Adversarial Networks (PSGAN), a new framework that can generate full-body and high-resolution character images based on stru…
Digital Watermarking for Deep Neural Networks
Yuki Nagai, Yusuke Uchida, Shigeyuki Sakazawa +1
Although deep neural networks have made tremendous progress in the area of multimedia representation, training neural models requires a large amount of data and time. It is well-kn…