Search Results for author: Jaehoon Choi

Found 10 papers, 3 papers with code

DnD: Dense Depth Estimation in Crowded Dynamic Indoor Scenes

no code implementations ICCV 2021 Dongki Jung, Jaehoon Choi, Yonghan Lee, Deokhwa Kim, Changick Kim, Dinesh Manocha, Donghwan Lee

We present a novel approach for estimating depth from a monocular camera as it moves through complex and crowded indoor environments, e. g., a department store or a metro station.

3D Reconstruction Depth Estimation

Just a Few Points Are All You Need for Multi-View Stereo: A Novel Semi-Supervised Learning Method for Multi-View Stereo

no code implementations ICCV 2021 Taekyung Kim, Jaehoon Choi, Seokeon Choi, Dongki Jung, Changick Kim

We generate the spare ground truth of the DTU dataset for evaluation and extensive experiments verify that our SGT-MVSNet outperforms the state-of-the-art MVS methods on the sparse ground truth setting.

3D Reconstruction

Arbitrary Style Transfer using Graph Instance Normalization

no code implementations6 Oct 2020 Dongki Jung, Seunghan Yang, Jaehoon Choi, Changick Kim

Style transfer is the image synthesis task, which applies a style of one image to another while preserving the content.

Domain Adaptation Image-to-Image Translation +2

SAFENet: Self-Supervised Monocular Depth Estimation with Semantic-Aware Feature Extraction

1 code implementation6 Oct 2020 Jaehoon Choi, Dongki Jung, Donghwan Lee, Changick Kim

In this paper, we propose SAFENet that is designed to leverage semantic information to overcome the limitations of the photometric loss.

Monocular Depth Estimation Multi-Task Learning

Pseudo-Labeling Curriculum for Unsupervised Domain Adaptation

no code implementations1 Aug 2019 Jaehoon Choi, Minki Jeong, Taekyung Kim, Changick Kim

To learn target discriminative representations, using pseudo-labels is a simple yet effective approach for unsupervised domain adaptation.

Semi-Supervised Image Classification Unsupervised Domain Adaptation

Learning User Preferences and Understanding Calendar Contexts for Event Scheduling

1 code implementation5 Sep 2018 Donghyeon Kim, Jinhyuk Lee, Donghee Choi, Jaehoon Choi, Jaewoo Kang

With online calendar services gaining popularity worldwide, calendar data has become one of the richest context sources for understanding human behavior.

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