Dongseok Shim

According to our database, Dongseok Shim authored at least 16 papers between 2020 and 2024.

Collaborative distances:

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

2024

Mono-Camera-Only Target Chasing for a Drone in a Dense Environment by Cross-Modal Learning.

Seungyeon Yoo, Seungwoo Jung, Yunwoo Lee, Dongseok Shim, H. Jin Kim

IEEE Robotics Autom. Lett., August, 2024

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

Dongseok Shim, H. Jin Kim

IEEE Robotics Autom. Lett., May, 2024

Magnituder Layers for Implicit Neural Representations in 3D.

Sang Min Kim, Byeongchan Kim, Arijit Sehanobish, Krzysztof Choromanski, Dongseok Shim, Avinava Dubey, Min-hwan Oh

CoRR, 2024

Object Remover Performance Evaluation Methods using Class-wise Object Removal Images.

Changsuk Oh, Dongseok Shim, Taekbeom Lee, H. Jin Kim

CoRR, 2024

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

Changsuk Oh, Youngseok Jang, Dongseok Shim, Changhyeon Kim, Junha Kim, H. Jin Kim

IEEE Access, 2024

2023

AURA : Automatic Mask Generator using Randomized Input Sampling for Object Removal.

Changsuk Oh, Dongseok Shim, H. Jin Kim

CoRR, 2023

DiffuPose: Monocular 3D Human Pose Estimation via Denoising Diffusion Probabilistic Model.

Jeongjun Choi, Dongseok Shim, H. Jin Kim

IROS, 2023

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

Dongseok Shim, H. Jin Kim

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

SNeRL: Semantic-aware Neural Radiance Fields for Reinforcement Learning.

Dongseok Shim, Seungjae Lee, H. Jin Kim

Proceedings of the International Conference on Machine Learning, 2023

2022

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

Daesol Cho, Dongseok Shim, H. Jin Kim

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

NTIRE 2022 Challenge on Learning the Super-Resolution Space.

Andreas Lugmayr, Martin Danelljan, Radu Timofte, Kang-Wook Kim, Younggeun Kim, Jae-Young Lee, Zechao Li, Jinshan Pan, Dongseok Shim, Ki-Ung Song, Jinhui Tang, Cong Wang, Zhihao Zhao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Learning a Domain-Agnostic Visual Representation for Autonomous Driving via Contrastive Loss.

Dongseok Shim, H. Jin Kim

CoRR, 2021

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

Dongseok Shim, H. Jin Kim

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

2020

Gaussian RAM: Lightweight Image Classification via Stochastic Retina-Inspired Glimpse and Reinforcement Learning.

Dongseok Shim, H. Jin Kim

CoRR, 2020

Detection-Aware Trajectory Generation for a Drone Cinematographer.

Boseong Felipe Jeon, Dongseok Shim, H. Jin Kim

CoRR, 2020