8 citations · 9 across the 7 of their papers we have counts for
6 papers · 1 filter
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…