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.
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.
1 code implementation • 12 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.
no code implementations • 17 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.
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.