5 accepted papers
We focus on the task of identifying the location of target regions from a natural language instruction and a front camera image captured by a mobility. This task is challenging because it requires both existence prediction and segmentation mask generation, particularly for stuff-type target regions…
Advancements in vehicle automation technology are expected to significantly impact how humans interact with vehicles. In this study, we propose a method to create user-friendly control interfaces for autonomous vehicles in urban environments. The proposed model predicts the vehicle's destination on
In this study, we develop a model that enables mobilities to have more friendly interactions with users. Specifically, we focus on the referring navigable regions task in which a model grounds navigable regions of the road using the mobility's camera image and natural language navigation instruction
In this study, we aim to develop a model that comprehends a natural language instruction (e.g., “Go to the living room and get the nearest pillow to the radio art on the wall”) and generates a segmentation mask for the target everyday object. The task is challenging because it requires (1) the under…
For human-safe robot control in human-to-robot handover, the physical properties of containers and fillings should be accurately estimated. In this paper, we propose a Transformer encoder that shares the same architecture and parameters for filling level and type estimation. We also propose a mask-b…