Search Results for author: Hojun Jang

Found 5 papers, 3 papers with code

LDL: Line Distance Functions for Panoramic Localization

1 code implementation ICCV 2023 Junho Kim, Changwoon Choi, Hojun Jang, Young Min Kim

We introduce LDL, a fast and robust algorithm that localizes a panorama to a 3D map using line segments.

Dynamic Mesh Recovery from Partial Point Cloud Sequence

no code implementations ICCV 2023 Hojun Jang, Minkwan Kim, Jinseok Bae, Young Min Kim

The exact 3D dynamics of the human body provides crucial evidence to analyze the consequences of the physical interaction between the body and the environment, which can eventually assist everyday activities in a wide range of applications.

CPO: Change Robust Panorama to Point Cloud Localization

1 code implementation12 Jul 2022 Junho Kim, Hojun Jang, Changwoon Choi, Young Min Kim

By utilizing the unique equivariance of spherical projections, we propose very fast color histogram generation for a large number of camera poses without explicitly rendering images for all candidate poses.

Visual Localization

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

no code implementations17 Feb 2022 Jinseok Bae, Hojun Jang, Cheol-Hui Min, Hyungun Choi, Young Min Kim

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 the observed motion dynamics.

motion retargeting

PICCOLO: Point Cloud-Centric Omnidirectional Localization

2 code implementations ICCV 2021 Junho Kim, Changwoon Choi, Hojun Jang, Young Min Kim

Our loss function, called sampling loss, is point cloud-centric, evaluated at the projected location of every point in the point cloud.

Visual Localization

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