activity
20212026
collaborators

7 papers

cs.CV2026

EgoForce: Robust Online Egocentric Motion Reconstruction via Diffusion Forcing

Inwoo Hwang, Donggeun Lim, Hojun Jang +1

With recent advances in embodied agents and AR devices, egocentric observations are readily available as input for real-world interactive online applications. However, egocentric v…

cs.CV2026

ScaleMoGen: Autoregressive Next-Scale Prediction for Human Motion Generation

Inwoo Hwang, Hojun Jang, Bing Zhou +3

We present ScaleMoGen, a scale-wise autoregressive framework for text-driven human motion generation. Unlike conventional autoregressive approaches that rely on standard next-token…

cs.CV2024

ReMP: Reusable Motion Prior for Multi-domain 3D Human Pose Estimation and Motion Inbetweening

Hojun Jang, Young Min Kim

We present Reusable Motion prior (ReMP), an effective motion prior that can accurately track the temporal evolution of motion in various downstream tasks. Inspired by the success o…

cs.CV2023

LDL: Line Distance Functions for Panoramic Localization

Junho Kim, Changwoon Choi, Hojun Jang +1

We introduce LDL, a fast and robust algorithm that localizes a panorama to a 3D map using line segments. LDL focuses on the sparse structural information of lines in the scene, whi…

cs.CV2022

CPO: Change Robust Panorama to Point Cloud Localization

Junho Kim, Hojun Jang, Changwoon Choi +1

We present CPO, a fast and robust algorithm that localizes a 2D panorama with respect to a 3D point cloud of a scene possibly containing changes. To robustly handle scene changes,…

cs.CV2022

Neural Marionette: Unsupervised Learning of Motion Skeleton and Latent Dynamics from Volumetric Video

Jinseok Bae, Hojun Jang, Cheol-Hui Min +2

We present Neural Marionette, an unsupervised approach that discovers the skeletal structure from a dynamic sequence and learns to generate diverse motions that are consistent with…

cs.CV2021

PICCOLO: Point Cloud-Centric Omnidirectional Localization

Junho Kim, Changwoon Choi, Hojun Jang +1

We present PICCOLO, a simple and efficient algorithm for omnidirectional localization. Given a colored point cloud and a 360 panorama image of a scene, our objective is to recover…