activity
20182024
most citedMulti-Modal Pedestrian Detection with Large Misalignment Based on Modal-Wise Regression and Multi-Modal IoU

2 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

cs.RO2024

Future Predictive Success-or-Failure Classification for Long-Horizon Robotic Tasks

Naoya Sogi, Hiroyuki Oyama, Takashi Shibata +1

Automating long-horizon tasks with a robotic arm has been a central research topic in robotics. Optimization-based action planning is an efficient approach for creating an action p…

cs.CV20212 cited

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…

cs.CV2021

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…

cs.CV2021

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…

cs.CV2018

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…