46 citations · 149 across the 35 of their papers we have counts for
7 papers · 1 filter
Single Image Deraining Network with Rain Embedding Consistency and Layered LSTM
Yizhou Li, Yusuke Monno, Masatoshi Okutomi
Single image deraining is typically addressed as residual learning to predict the rain layer from an input rainy image. For this purpose, an encoder-decoder network draws wide atte…
Learning-Based Depth and Pose Estimation for Monocular Endoscope with Loss Generalization
Aji Resindra Widya, Yusuke Monno, Masatoshi Okutomi +3
Gastroendoscopy has been a clinical standard for diagnosing and treating conditions that affect a part of a patient's digestive system, such as the stomach. Despite the fact that g…
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…
Video-Based Camera Localization Using Anchor View Detection and Recursive 3D Reconstruction
Hajime Taira, Koki Onbe, Naoyuki Miyashita +1
In this paper we introduce a new camera localization strategy designed for image sequences captured in challenging industrial situations such as industrial parts inspection. To dea…
Spectral MVIR: Joint Reconstruction of 3D Shape and Spectral Reflectance
Chunyu Li, Yusuke Monno, Masatoshi Okutomi
Reconstructing an object's high-quality 3D shape with inherent spectral reflectance property, beyond typical device-dependent RGB albedos, opens the door to applications requiring…
VIO-Aided Structure from Motion Under Challenging Environments
Zijie Jiang, Hajime Taira, Naoyuki Miyashita +1
In this paper, we present a robust and efficient Structure from Motion pipeline for accurate 3D reconstruction under challenging environments by leveraging the camera pose informat…