2 citations · 5 across the 11 of their papers we have counts for
5 papers · 1 filter
Learning Distance-Conditioned Object Transport for Humanoid Loco-Manipulation from a Single Motion Clip
Yuhyeon Hwang, Daniel Sungho Jung, YongHyeok Seo +4
Motion tracking can reproduce humanoid loco-manipulation from a single retargeted motion clip, but a policy trained on a fixed reference primarily reproduces its demonstrated trans…
PrintAnything: Learning an Intermediate Representation for 3D printing G-code Generation
Sangmin Hong, Daniel Sungho Jung, Heewon Kim +1
Point clouds are one of the most fundamental and widely used 3D representations, serving as the most basic geometric representation of 3D shapes. Nevertheless, most existing 3D pri…
Training-Free Dense Hand Contact Estimation with Multi-Modal Large Language Models
Daniel Sungho Jung, Kyoung Mu Lee
Dense hand contact estimation requires both high-level semantic understanding and fine-grained geometric reasoning of human interaction to accurately localize contact regions. Rece…
Learning Human-Object Interaction for 3D Human Pose Estimation from LiDAR Point Clouds
Daniel Sungho Jung, Dohee Cho, Kyoung Mu Lee
Understanding humans from LiDAR point clouds is one of the most critical tasks in autonomous driving due to its close relationships with pedestrian safety, yet it remains challengi…
TeHOR: Text-Guided 3D Human and Object Reconstruction with Textures
Hyeongjin Nam, Daniel Sungho Jung, Kyoung Mu Lee
Joint reconstruction of 3D human and object from a single image is an active research area, with pivotal applications in robotics and digital content creation. Despite recent advan…