Dongki Jung

According to our database, Dongki Jung authored at least 19 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

PanoPlane: Plane-Aware Panoramic Completion for Sparse-View Indoor 3D Gaussian Splatting.

Adil Qureshi, Dongki Jung, Jaehoon Choi, Dinesh Manocha

CoRR, May, 2026

Wid3R: Wide Field-of-View 3D Reconstruction via Camera Model Conditioning.

Dongki Jung, Jaehoon Choi, Adil Qureshi, Somi Jeong, Dinesh Manocha, Suyong Yeon

CoRR, February, 2026

MoRe: Monocular Geometry Refinement via Graph Optimization for Cross-View Consistency.

Dongki Jung, Jaehoon Choi, Yonghan Lee, Sungmin Eum, Heesung Kwon, Dinesh Manocha

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

UAV4D: Dynamic Neural Rendering of Human-Centric UAV Imagery Using Gaussian Splatting.

Jaehoon Choi, Dongki Jung, Chris Maxey, Sungmin Eum, Yonghan Lee, Dinesh Manocha, Heesung Kwon

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

UAVTwin: Neural Digital Twins for UAVs using Gaussian Splatting.

Jaehoon Choi, Dongki Jung, Yonghan Lee, Sungmin Eum, Dinesh Manocha, Heesung Kwon

CoRR, April, 2025

IM360: Textured Mesh Reconstruction for Large-scale Indoor Mapping with 360^ô Cameras.

Dongki Jung, Jaehoon Choi, Yonghan Lee, Dinesh Manocha

CoRR, February, 2025

RPG360: Robust 360 Depth Estimation with Perspective Foundation Models and Graph Optimization.

Dongki Jung, Jaehoon Choi, Yonghan Lee, Dinesh Manocha

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

IM360: Large-Scale Indoor Mapping with 360 Cameras.

Dongki Jung, Jaehoon Choi, Yonghan Lee, Dinesh Manocha

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

EDM: Equirectangular Projection-Oriented Dense Kernelized Feature Matching.

Dongki Jung, Jaehoon Choi, Yonghan Lee, Somi Jeong, Taejae Lee, Dinesh Manocha, Suyong Yeon

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Mode-GS: Monocular Depth Guided Anchored 3D Gaussian Splatting for Robust Ground-View Scene Rendering.

Yonghan Lee, Jaehoon Choi, Dongki Jung, Jaeseong Yun, Soohyun Ryu, Dinesh Manocha, Suyong Yeon

CoRR, 2024

WayIL: Image-based Indoor Localization with Wayfinding Maps.

Obin Kwon, Dongki Jung, Youngji Kim, Soohyun Ryu, Suyong Yeon, Songhwai Oh, Donghwan Lee

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

TMO: Textured Mesh Acquisition of Objects with a Mobile Device by using Differentiable Rendering.

Jaehoon Choi, Dongki Jung, Taejae Lee, Sangwook Kim, Youngdong Jung, Dinesh Manocha, Donghwan Lee

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

SelfTune: Metrically Scaled Monocular Depth Estimation through Self-Supervised Learning.

Jaehoon Choi, Dongki Jung, Yonghan Lee, Deokhwa Kim, Dinesh Manocha, Donghwan Lee

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

SelfDeco: Self-Supervised Monocular Depth Completion in Challenging Indoor Environments.

Jaehoon Choi, Dongki Jung, Yonghan Lee, Deokhwa Kim, Dinesh Manocha, Donghwan Lee

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

DnD: Dense Depth Estimation in Crowded Dynamic Indoor Scenes.

Dongki Jung, Jaehoon Choi, Yonghan Lee, Deokhwa Kim, Changick Kim, Dinesh Manocha, Donghwan Lee

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Just a Few Points are All You Need for Multi-view Stereo: A Novel Semi-supervised Learning Method for Multi-view Stereo.

Taekyung Kim, Jaehoon Choi, Seokeon Choi, Dongki Jung, Changick Kim

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Self-supervised Monocular Depth Estimation with Semantic-aware Depth Features.

Jaehoon Choi, Dongki Jung, Donghwan Lee, Changick Kim

CoRR, 2020

Partial Domain Adaptation Using Graph Convolutional Networks.

Seunghan Yang, Youngeun Kim, Dongki Jung, Changick Kim

CoRR, 2020

Arbitrary Style Transfer Using Graph Instance Normalization.

Dongki Jung, Seunghan Yang, Jaehoon Choi, Changick Kim

Proceedings of the IEEE International Conference on Image Processing, 2020