Dongseok Shim

Dongseok Shim

Seoul National University

H-index: 5

Asia-South Korea

About Dongseok Shim

Dongseok Shim, With an exceptional h-index of 5 and a recent h-index of 5 (since 2020), a distinguished researcher at Seoul National University, specializes in the field of Computer Vision, Machine Learning, Robotics.

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

Automatic Pseudo-LiDAR Annotation: Generation of Training Data for 3D Object Detection Networks

DIVIDE: Learning a Domain-Invariant Geometric Space for Depth Estimation

Diffupose: Monocular 3d human pose estimation via denoising diffusion probabilistic model

SwinDepth: Unsupervised Depth Estimation using Monocular Sequences via Swin Transformer and Densely Cascaded Network

SNeRL: Semantic-aware Neural Radiance Fields for Reinforcement Learning

Fs-ncsr: Increasing diversity of the super-resolution space via frequency separation and noise-conditioned normalizing flow

NTIRE 2022 challenge on learning the super-resolution space

S2P: State-conditioned Image Synthesis for Data Augmentation in Offline Reinforcement Learning

Dongseok Shim Information

University

Position

___

Citations(all)

74

Citations(since 2020)

74

Cited By

3

hIndex(all)

5

hIndex(since 2020)

5

i10Index(all)

3

i10Index(since 2020)

3

Email

University Profile Page

Seoul National University

Google Scholar

View Google Scholar Profile

Dongseok Shim Skills & Research Interests

Computer Vision

Machine Learning

Robotics

Top articles of Dongseok Shim

Title

Journal

Author(s)

Publication Date

Automatic Pseudo-LiDAR Annotation: Generation of Training Data for 3D Object Detection Networks

IEEE Access

Changsuk Oh

Youngseok Jang

Dongseok Shim

Changhyeon Kim

Junha Kim

...

2024/1/17

DIVIDE: Learning a Domain-Invariant Geometric Space for Depth Estimation

IEEE Robotics and Automation Letters

Dongseok Shim

H Jin Kim

2024/3/18

Diffupose: Monocular 3d human pose estimation via denoising diffusion probabilistic model

Jeongjun Choi

Dongseok Shim

H Jin Kim

2023/10/1

SwinDepth: Unsupervised Depth Estimation using Monocular Sequences via Swin Transformer and Densely Cascaded Network

Dongseok Shim

H Jin Kim

2023/5/30

SNeRL: Semantic-aware Neural Radiance Fields for Reinforcement Learning

Dongseok Shim

Seungjae Lee

H Jin Kim

2023/1/27

Fs-ncsr: Increasing diversity of the super-resolution space via frequency separation and noise-conditioned normalizing flow

Ki-Ung Song

Dongseok Shim

Kang-wook Kim

Jae-young Lee

Younggeun Kim

2022/6/19

NTIRE 2022 challenge on learning the super-resolution space

Andreas Lugmayr

Martin Danelljan

Radu Timofte

Kang-wook Kim

Younggeun Kim

...

2022

S2P: State-conditioned Image Synthesis for Data Augmentation in Offline Reinforcement Learning

Daesol Cho

Dongseok Shim

H Jin Kim

2022/9/30

Learning a Geometric Representation for Data-Efficient Depth Estimation via Gradient Field and Contrastive Loss

Dongseok Shim

H Jin Kim

2021/5/30

Learning a domain-agnostic visual representation for autonomous driving via contrastive loss

arXiv preprint arXiv:2103.05902

Dongseok Shim

H Jin Kim

2021/3/10

Gaussian RAM: Lightweight image classification via stochastic retina-inspired glimpse and reinforcement learning

Dongseok Shim

H Jin Kim

2020/10/13

Traffic light recognition based on one-dimensional convolutional neural network

Changsuk Oh

Dongseok Sim

H Jin Kim

2020/9/20

Detection-aware trajectory generation for a drone cinematographer

Boseong Felipe Jeon

Dongsuk Shim

H Jin Kim

2020/10/24

See List of Professors in Dongseok Shim University(Seoul National University)

Co-Authors

H-index: 54
H. Jin Kim (김현진, Hyoun Jin Kim)

H. Jin Kim (김현진, Hyoun Jin Kim)

Seoul National University

H-index: 4
Boseong Felipe Jeon

Boseong Felipe Jeon

Seoul National University

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