Search Results for author: Woonghyun Ka

Found 3 papers, 1 papers with code

Stereo-Matching Knowledge Distilled Monocular Depth Estimation Filtered by Multiple Disparity Consistency

no code implementations22 Jan 2024 Woonghyun Ka, Jae Young Lee, Jaehyun Choi, Junmo Kim

In stereo-matching knowledge distillation methods of the self-supervised monocular depth estimation, the stereo-matching network's knowledge is distilled into a monocular depth network through pseudo-depth maps.

Knowledge Distillation Monocular Depth Estimation +1

Modeling Stereo-Confidence Out of the End-to-End Stereo-Matching Network via Disparity Plane Sweep

no code implementations22 Jan 2024 Jae Young Lee, Woonghyun Ka, Jaehyun Choi, Junmo Kim

We propose a novel stereo-confidence that can be measured externally to various stereo-matching networks, offering an alternative input modality choice of the cost volume for learning-based approaches, especially in safety-critical systems.

Stereo Matching

Global-Local Path Networks for Monocular Depth Estimation with Vertical CutDepth

3 code implementations19 Jan 2022 Doyeon Kim, Woonghyun Ka, Pyungwhan Ahn, Donggyu Joo, Sehwan Chun, Junmo Kim

Depth estimation from a single image is an important task that can be applied to various fields in computer vision, and has grown rapidly with the development of convolutional neural networks.

Monocular Depth Estimation

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