Search Results for author: Jae-Han Lee

Found 4 papers, 1 papers with code

Multi-Loss Rebalancing Algorithm for Monocular Depth Estimation

1 code implementation ECCV 2020 Jae-Han Lee, Chang-Su Kim

To address these issues, we propose the loss rebalancing algorithm that initializes and rebalances the weight for each loss function adaptively in the course of training.

Monocular Depth Estimation

Monocular Depth Estimation Using Whole Strip Masking and Reliability-Based Refinement

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.

Monocular Depth Estimation

Single-Image Depth Estimation Based on Fourier Domain Analysis

no code implementations 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.

Depth Estimation

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