2 citations · 3 across the 5 of their papers we have counts for
5 papers
One-Shot Machine Unlearning with Mnemonic Code
Tomoya Yamashita, Masanori Yamada, Takashi Shibata
Ethical and privacy issues inherent in artificial intelligence (AI) applications have been a growing concern with the rapid spread of deep learning. Machine unlearning (MU) is the…
Multi-Modal Pedestrian Detection with Large Misalignment Based on Modal-Wise Regression and Multi-Modal IoU
Napat Wanchaitanawong, Masayuki Tanaka, Takashi Shibata +1
The combined use of multiple modalities enables accurate pedestrian detection under poor lighting conditions by using the high visibility areas from these modalities together. The…
Geometric Data Augmentation Based on Feature Map Ensemble
Takashi Shibata, Masayuki Tanaka, Masatoshi Okutomi
Deep convolutional networks have become the mainstream in computer vision applications. Although CNNs have been successful in many computer vision tasks, it is not free from drawba…
Generalized Domain Adaptation
Yu Mitsuzumi, Go Irie, Daiki Ikami +1
Many variants of unsupervised domain adaptation (UDA) problems have been proposed and solved individually. Its side effect is that a method that works for one variant is often inef…
Gradient-Based Low-Light Image Enhancement
Masayuki Tanaka, Takashi Shibata, Masatoshi Okutomi
A low-light image enhancement is a highly demanded image processing technique, especially for consumer digital cameras and cameras on mobile phones. In this paper, a gradient-based…