15 citations · 21 across the 7 of their papers we have counts for
10 papers
ExAug: Robot-Conditioned Navigation Policies via Geometric Experience Augmentation
Noriaki Hirose, Dhruv Shah, Ajay Sridhar +1
Machine learning techniques rely on large and diverse datasets for generalization. Computer vision, natural language processing, and other applications can often reuse public datas…
Spatio-Temporal Graph Localization Networks for Image-based Navigation
Takahiro Niwa, Shun Taguchi, Noriaki Hirose
Localization in topological maps is essential for image-based navigation using an RGB camera. Localization using only one camera can be challenging in medium-to-large-sized environ…
Unsupervised Simultaneous Learning for Camera Re-Localization and Depth Estimation from Video
Shun Taguchi, Noriaki Hirose
We present an unsupervised simultaneous learning framework for the task of monocular camera re-localization and depth estimation from unlabeled video sequences. Monocular camera re…
Variational Monocular Depth Estimation for Reliability Prediction
Noriaki Hirose, Shun Taguchi, Keisuke Kawano +1
Self-supervised learning for monocular depth estimation is widely investigated as an alternative to supervised learning approach, that requires a lot of ground truths. Previous wor…
PLG-IN: Pluggable Geometric Consistency Loss with Wasserstein Distance in Monocular Depth Estimation
Noriaki Hirose, Satoshi Koide, Keisuke Kawano +1
We propose a novel objective for penalizing geometric inconsistencies to improve the depth and pose estimation performance of monocular camera images. Our objective is designed usi…
Deep Visual MPC-Policy Learning for Navigation
Noriaki Hirose, Fei Xia, Roberto Martin-Martin +2
Humans can routinely follow a trajectory defined by a list of images/landmarks. However, traditional robot navigation methods require accurate mapping of the environment, localizat…