11 papers
GP-4DGS: Probabilistic 4D Gaussian Splatting from Monocular Video via Variational Gaussian Processes
Mijeong Kim, Jungtaek Kim, Bohyung Han
We present GP-4DGS, a novel framework that integrates Gaussian Processes (GPs) into 4D Gaussian Splatting (4DGS) for principled probabilistic modeling of dynamic scenes. While exis…
Ordinal Neural Collapse as a Representation Prior for Visual Navigation
E-In Son, Jung-Taak Kim, Seung-Woo Seo
Learning robust navigation policies directly from visual observations remains a fundamental challenge in vision-based robotic navigation. In end-to-end imitation learning approache…
FPAS: Frontier-Based Path Planning with Adaptive Sampling for Large-Scale Unknown Environments
Jinwoo Choi, Yeonkyu Lee, Jung-Taak Kim +2
In this work, we propose Frontier-based Path Planning with Adaptive Sampling (FPAS), a novel framework designed for efficient goal-reaching in large-scale, unknown environments. Wh…
Fine-tuning a vision-language model for fracture-surface morphology recognition
Quanliang Liu, Jungtaek Kim, Kangwook Lee +1
Vision-language models (VLMs) have shown strong potential for scientific image understanding, but general-purpose models often lack the domain-specific visual knowledge required fo…
Exploration and Exploitation Errors Are Measurable for Language Model Agents
Jaden Park, Jungtaek Kim, Jongwon Jeong +3
Language Model (LM) agents are increasingly used in complex open-ended decision-making tasks, from AI coding to physical AI. A core requirement in these settings is the ability to…
Transformers in the Dark: Navigating Unknown Search Spaces via Bandit Feedback
Jungtaek Kim, Thomas Zeng, Ziqian Lin +5
Effective problem solving with Large Language Models (LLMs) can be enhanced when they are paired with external search algorithms. By viewing the space of diverse ideas and their fo…