1.5k citations · 2.1k across the 48 of their papers we have counts for
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Building Movie Map -- A Tool for Exploring Areas in a City -- and its Evaluation
Naoki Sugimoto, Yoshihito Ebine, Kiyoharu Aizawa
We propose a new Movie Map system, with an interface for exploring cities. The system consists of four stages; acquisition, analysis, management, and interaction. In the acquisitio…
Few-Shot Font Generation with Deep Metric Learning
Haruka Aoki, Koki Tsubota, Hikaru Ikuta +1
Designing fonts for languages with a large number of characters, such as Japanese and Chinese, is an extremely labor-intensive and time-consuming task. In this study, we addressed…
The Aleatoric Uncertainty Estimation Using a Separate Formulation with Virtual Residuals
Takumi Kawashima, Qing Yu, Akari Asai +2
We propose a new optimization framework for aleatoric uncertainty estimation in regression problems. Existing methods can quantify the error in the target estimation, but they tend…
SLGAN: Style- and Latent-guided Generative Adversarial Network for Desirable Makeup Transfer and Removal
Daichi Horita, Kiyoharu Aizawa
There are five features to consider when using generative adversarial networks to apply makeup to photos of the human face. These features include (1) facial components, (2) intera…
Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning
Qing Yu, Daiki Ikami, Go Irie +1
Semi-supervised learning (SSL) has been proposed to leverage unlabeled data for training powerful models when only limited labeled data is available. While existing SSL methods ass…
Channel-Level Variable Quantization Network for Deep Image Compression
Zhisheng Zhong, Hiroaki Akutsu, Kiyoharu Aizawa
Deep image compression systems mainly contain four components: encoder, quantizer, entropy model, and decoder. To optimize these four components, a joint rate-distortion framework…
Building a Manga Dataset "Manga109" with Annotations for Multimedia Applications
Kiyoharu Aizawa, Azuma Fujimoto, Atsushi Otsubo +4
Manga, or comics, which are a type of multimodal artwork, have been left behind in the recent trend of deep learning applications because of the lack of a proper dataset. Hence, we…
Distance Surface for Event-Based Optical Flow
Mohammed Almatrafi, Raymond Baldwin, Kiyoharu Aizawa +1
We propose DistSurf-OF, a novel optical flow method for neuromorphic cameras. Neuromorphic cameras (or event detection cameras) are an emerging sensor modality that makes use of dy…