1 citations · 1 across the 9 of their papers we have counts for
9 papers
Cross-view Self-localization from Synthesized Scene-graphs
Ryogo Yamamoto, Kanji Tanaka
Cross-view self-localization is a challenging scenario of visual place recognition in which database images are provided from sparse viewpoints. Recently, an approach for synthesiz…
Active Robot Vision for Distant Object Change Detection: A Lightweight Training Simulator Inspired by Multi-Armed Bandits
Kouki Terashima, Kanji Tanaka, Ryogo Yamamoto +1
In ground-view object change detection, the recently emerging mapless navigation has great potential to navigate a robot to objects distantly detected (e.g., books, cups, clothes)…
Active Semantic Localization with Graph Neural Embedding
Mitsuki Yoshida, Kanji Tanaka, Ryogo Yamamoto +1
Semantic localization, i.e., robot self-localization with semantic image modality, is critical in recently emerging embodied AI applications (e.g., point-goal navigation, object-go…
Compressive Self-localization Using Relative Attribute Embedding
Ryogo Yamamoto, Kanji Tanaka
The use of relative attribute (e.g., beautiful, safe, convenient) -based image embeddings in visual place recognition, as a domain-adaptive compact image descriptor that is orthogo…
Active Domain-Invariant Self-Localization Using Ego-Centric and World-Centric Maps
Kanya Kurauchi, Kanji Tanaka, Ryogo Yamamoto +1
The training of a next-best-view (NBV) planner for visual place recognition (VPR) is a fundamentally important task in autonomous robot navigation, for which a typical approach is…
Minimum Cost Multicuts for Incorrect Landmark Edge Detection in Pose-graph SLAM
Kazushi Aiba, Kanji Tanaka, Ryogo Yamamoto
Pose-graph SLAM is the de facto standard framework for constructing large-scale maps from multi-session experiences of relative observations and motions during visual robot navigat…
Open-World Distributed Robot Self-Localization with Transferable Visual Vocabulary and Both Absolute and Relative Features
Mitsuki Yoshida, Ryogo Yamamoto, Daiki Iwata +1
Visual robot self-localization is a fundamental problem in visual robot navigation and has been studied across various problem settings, including monocular and sequential localiza…
Detector Algorithms of Bounding Box and Segmentation Mask of a Mask R-CNN Model
Haruhiro Fujita, Masatoshi Itagaki, Yew Kwang Hooi +3
Detection performances on bounding box and segmentation mask outputs of Mask R-CNN models are evaluated. There are significant differences in detection performances of bounding box…
Fine-tuned Pre-trained Mask R-CNN Models for Surface Object Detection
Haruhiro Fujita, Masatoshi Itagaki, Kenta Ichikawa +3
This study evaluates road surface object detection tasks using four Mask R-CNN models as a pre-study of surface deterioration detection of stone-made archaeological objects. The mo…