8 citations · 9 across the 7 of their papers we have counts for
8 papers
Informative Viewpoint Selection for Episodic-Memory Embodied Question Answering using Omnidirectional Images
Kaname Kitamura, Asako Kanezaki
Embodied Question Answering (EQA) requires agents to answer natural language questions about surrounding environments from visual observations. In this work, we focus on open-vocab…
3D Segmentation Using Viewpoint-Dependent Spatial Relationships
Ayaka Nanri, Klara Reichard, Mert Kiray +3
Recent advances in 3D datasets and multimodal models have greatly improved natural language 3D scene understanding. However, most 3D referring segmentation methods do not explicitl…
COG: Confidence-aware Optimal Geometric Correspondence for Unsupervised Single-reference Novel Object Pose Estimation
Yuchen Che, Jingtu Wu, Hao Zheng +1
Estimating the 6DoF pose of a novel object with a single reference view is challenging due to occlusions, view-point changes, and outliers. A core difficulty lies in finding robust…
Embodied Navigation with Auxiliary Task of Action Description Prediction
Haru Kondoh, Asako Kanezaki
The field of multimodal robot navigation in indoor environments has garnered significant attention in recent years. However, as tasks and methods become more advanced, the action d…
OP-Align: Object-level and Part-level Alignment for Self-supervised Category-level Articulated Object Pose Estimation
Yuchen Che, Ryo Furukawa, Asako Kanezaki
Category-level articulated object pose estimation focuses on the pose estimation of unknown articulated objects within known categories. Despite its significance, this task remains…
Zero-shot Degree of Ill-posedness Estimation for Active Small Object Change Detection
Koji Takeda, Kanji Tanaka, Yoshimasa Nakamura +1
In everyday indoor navigation, robots often needto detect non-distinctive small-change objects (e.g., stationery,lost items, and junk, etc.) to maintain domain knowledge. Thisis mo…
Leveraging Large Language Model-based Room-Object Relationships Knowledge for Enhancing Multimodal-Input Object Goal Navigation
Leyuan Sun, Asako Kanezaki, Guillaume Caron +1
Object-goal navigation is a crucial engineering task for the community of embodied navigation; it involves navigating to an instance of a specified object category within unseen en…
Linking Vision and Multi-Agent Communication through Visible Light Communication using Event Cameras
Haruyuki Nakagawa, Yoshitaka Miyatani, Asako Kanezaki
Various robots, rovers, drones, and other agents of mass-produced products are expected to encounter scenes where they intersect and collaborate in the near future. In such multi-a…