Jaehoon Choi

Jaehoon Choi

University of Maryland

H-index: 6

North America-United States

About Jaehoon Choi

Jaehoon Choi, With an exceptional h-index of 6 and a recent h-index of 6 (since 2020), a distinguished researcher at University of Maryland, specializes in the field of Computer vision Deep Learning Robotics.

His recent articles reflect a diverse array of research interests and contributions to the field:

UAV-Sim: NeRF-based Synthetic Data Generation for UAV-based Perception

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

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

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

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

DnD: Dense Depth Estimation in Crowded Dynamic Indoor Scenes

Arbitrary Style Transfer Using Graph Instance Normalization

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

Jaehoon Choi Information

University

Position

Ph.D in Computer Science

Citations(all)

685

Citations(since 2020)

670

Cited By

147

hIndex(all)

6

hIndex(since 2020)

6

i10Index(all)

6

i10Index(since 2020)

6

Email

University Profile Page

Google Scholar

Jaehoon Choi Skills & Research Interests

Computer vision Deep Learning Robotics

Top articles of Jaehoon Choi

UAV-Sim: NeRF-based Synthetic Data Generation for UAV-based Perception

arXiv preprint arXiv:2310.16255

2023/10/25

Jaehoon Choi
Jaehoon Choi

H-Index: 4

Dinesh Manocha
Dinesh Manocha

H-Index: 51

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

2023

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

2022 International Conference on Robotics and Automation (ICRA)

2022/3/10

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

2021/11/10

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

2021

DnD: Dense Depth Estimation in Crowded Dynamic Indoor Scenes

2021

Arbitrary Style Transfer Using Graph Instance Normalization

2020/10/25

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

arXiv preprint arXiv:2010.02893

2020/10/6

See List of Professors in Jaehoon Choi University(University of Maryland)