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Yongjae Yoo

3 accepted papers

2026

Amplifying Force-Feedback Cues for Enhancing Dexterous Skill Transfer in Virtual Environments

ICRA 2026poster

How to teach sensorimotor skills in haptic virtual environments is a classic research question and has been investigated with different target skills and strategies. In this study, we studied how to assist users by modulating haptic sensations in the learning environment, presented via a force-feedb…

Cited by 0Scholar
2026

Implicit 4D Gaussian Splatting for Fast Motion with Large Inter-Frame Displacements

ICLR 2026poster

Recent 4D Gaussian Splatting (4DGS) methods often fail under fast motion with large inter-frame displacements, where Gaussian attributes are poorly learned during training, and fast-moving objects are often lost from the reconstruction. In this work, we introduce Spatiotemporal Position Implicit Net…

Cited by 0SourceScholar
2015

Objective quality prediction for haptic texture signal compression

ICASSP 2015accepted

Perceptual quality for media compression algorithms is traditionally evaluated through user studies. Such studies are time consuming, laborious and expensive, slowing down the development of new signal processing algorithms. To address this problem, a number of algorithmic quality prediction methodo…

Cited by 0SourceScholar