no code implementations • ICCV 2019 • Kyung-Rae Kim, Whan Choi, Yeong Jun Koh, Seong-Gyun Jeong, Chang-Su Kim
A novel algorithm to estimate instance-level future motion in a single image is proposed in this paper.
no code implementations • ECCV 2018 • Minhyeok Heo, Jae-Han Lee, Kyung-Rae Kim, Han-Ul Kim, Chang-Su Kim
We propose a monocular depth estimation algorithm, which extracts a depth map from a single image, based on whole strip masking (WSM) and reliability-based refinement.
1 code implementation • CVPR 2018 • Jae-Han Lee, Minhyeok Heo, Kyung-Rae Kim, Chang-Su Kim
We propose a deep learning algorithm for single-image depth estimation based on the Fourier frequency domain analysis.