5 citations · 5 across the 5 of their papers we have counts for
6 papers
Analogical Trajectory Transfer
Junho Kim, Eun Sun Lee, Gwangtak Bae +2
We study analogical trajectory transfer, where the goal is to translate motion trajectories in one 3D environment to a semantically analogous location in another. Such a capacity w…
Learning 3D Scene Analogies with Neural Contextual Scene Maps
Junho Kim, Gwangtak Bae, Eun Sun Lee +1
Understanding scene contexts is crucial for machines to perform tasks and adapt prior knowledge in unseen or noisy 3D environments. As data-driven learning is intractable to compre…
Calibrating Panoramic Depth Estimation for Practical Localization and Mapping
Junho Kim, Eun Sun Lee, Young Min Kim
The absolute depth values of surrounding environments provide crucial cues for various assistive technologies, such as localization, navigation, and 3D structure estimation. We pro…
MoDA: Map style transfer for self-supervised Domain Adaptation of embodied agents
Eun Sun Lee, Junho Kim, SangWon Park +1
We propose a domain adaptation method, MoDA, which adapts a pretrained embodied agent to a new, noisy environment without ground-truth supervision. Map-based memory provides import…
Self-Supervised Domain Adaptation for Visual Navigation with Global Map Consistency
Eun Sun Lee, Junho Kim, Young Min Kim
We propose a light-weight, self-supervised adaptation for a visual navigation agent to generalize to unseen environment. Given an embodied agent trained in a noiseless environment,…
SGoLAM: Simultaneous Goal Localization and Mapping for Multi-Object Goal Navigation
Junho Kim, Eun Sun Lee, Mingi Lee +2
We present SGoLAM, short for simultaneous goal localization and mapping, which is a simple and efficient algorithm for Multi-Object Goal navigation. Given an agent equipped with an…