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Dongki Jung
Dongki Jung
NAVER LABS
Verified email at naverlabs.com - Homepage
Title
Cited by
Cited by
Year
SAFENet: Self-Supervised Monocular Depth Estimation with Semantic-Aware Feature Extraction
J Choi, D Jung, D Lee, C Kim
2020 NeurIPS workshop, 2020
282020
SelfDeco: Self-Supervised Monocular Depth Completion in Challenging Indoor Environments
J Choi, D Jung, Y Lee, D Kim, D Manocha, D Lee
2021 IEEE International Conference on Robotics and Automation (ICRA), 2020
202020
Arbitrary style transfer using graph instance normalization
D Jung, S Yang, J Choi, C Kim
2020 IEEE International Conference on Image Processing (ICIP), 1596-1600, 2020
62020
DnD: Dense Depth Estimation in Crowded Dynamic Indoor Scenes
D Jung, J Choi, Y Lee, D Kim, C Kim, D Manocha, D Lee
2021 IEEE/CVF International Conference on Computer Vision, 2021
42021
Just a few points are all you need for multi-view stereo: A novel semi-supervised learning method for multi-view stereo
T Kim, J Choi, S Choi, D Jung, C Kim
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
42021
Partial domain adaptation using graph convolutional networks
S Yang, Y Kim, D Jung, C Kim
arXiv preprint arXiv:2005.07858, 2020
42020
Selftune: Metrically scaled monocular depth estimation through self-supervised learning
J Choi, D Jung, Y Lee, D Kim, D Manocha, D Lee
2022 International Conference on Robotics and Automation (ICRA), 6511-6518, 2022
32022
TMO: Textured Mesh Acquisition of Objects with a Mobile Device by using Differentiable Rendering
J Choi, D Jung, T Lee, S Kim, Y Jung, D Manocha, D Lee
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
12023
WayIL: Image-based Indoor Localization with Wayfinding Maps
O Kwon, D Jung, Y Kim, S Ryu, S Yeon, S Oh, D Lee
DnD: Dense Depth Estimation in Crowded Indoor Dynamic Scenes Supplementary Material
D Jung, J Choi, Y Lee, D Kim, C Kim, D Manocha, D Lee
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Articles 1–10