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Xinyao Yu

5 accepted papers

2025

Function-centric Bayesian Network for Zero-Shot Object Goal Navigation

ICCV 2025poster

Object goal navigation requires an agent to navigate to a specified target in unseen environments without an explicit map, which demands an understanding of object-scene context to infer the target's location based on partial observations. The function of an object plays a crucial role in its catego…

Cited by 0SourcePDFScholar
2025

Learning on the Go: A Meta-learning Object Navigation Model

ICCV 2025poster

Object navigation tasks require an agent to locate a target object using visual observations in unseen environments, where unfamiliar layouts and novel object appearances can hinder navigation. Most existing methods lack the adaptability needed to handle these uncertainties, as their navigation mode…

Cited by 0SourcePDFScholar
2024

Imagine Before Go: Self-Supervised Generative Map for Object Goal Navigation

CVPR 2024poster

The Object Goal navigation (ObjectNav) task requires the agent to navigate to a specified target in an unseen environment. Since the environment layout is unknown the agent needs to infer the unknown contextual objects from partially observations thereby deducing the likely location of the target. P…

2024

Trajectory Diffusion for ObjectGoal Navigation

NeurIPS 2024poster

Object goal navigation requires an agent to navigate to a specified object in an unseen environment based on visual observations and user-specified goals. Human decision-making in navigation is sequential, planning a most likely sequence of actions toward the goal. However, existing ObjectNav meth…

Cited by 1SourcePDFScholar
2023

Layout-Based Causal Inference for Object Navigation

CVPR 2023poster

Previous works for ObjectNav task attempt to learn the association (e.g. relation graph) between the visual inputs and the goal during training. Such association contains the prior knowledge of navigating in training environments, which is denoted as the experience. The experience performs a positiv…

Cited by 38SourcePDFScholar