Dongseok Shim

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 21

Top Topics

Monocular Images

Fitted Q Iteration

Evaluation Methods

Top Venues

IEEE Robotics Autom. Lett.

Publications

Changsuk Oh, Dongseok Shim, Taekbeom Lee, H. Jin Kim
Object Remover Performance Evaluation Methods using Class-wise Object Removal Images. CoRR (2024)
Changsuk Oh, Youngseok Jang, Dongseok Shim, Changhyeon Kim, Junha Kim, H. Jin Kim
Automatic Pseudo-LiDAR Annotation: Generation of Training Data for 3D Object Detection Networks. IEEE Access 12 (2024)
Seungyeon Yoo, Seungwoo Jung, Yunwoo Lee, Dongseok Shim, H. Jin Kim
Mono-Camera-Only Target Chasing for a Drone in a Dense Environment by Cross-Modal Learning. IEEE Robotics Autom. Lett. 9 (8) (2024)
Dongseok Shim, H. Jin Kim
DIVIDE: Learning a Domain-Invariant Geometric Space for Depth Estimation. IEEE Robotics Autom. Lett. 9 (5) (2024)
Changsuk Oh, Dongseok Shim, H. Jin Kim
AURA : Automatic Mask Generator using Randomized Input Sampling for Object Removal. CoRR (2023)
Dongseok Shim, Seungjae Lee, H. Jin Kim
SNeRL: Semantic-aware Neural Radiance Fields for Reinforcement Learning. ICML (2023)
Dongseok Shim, H. Jin Kim
SwinDepth: Unsupervised Depth Estimation using Monocular Sequences via Swin Transformer and Densely Cascaded Network. ICRA (2023)
Dongseok Shim, H. Jin Kim
SwinDepth: Unsupervised Depth Estimation using Monocular Sequences via Swin Transformer and Densely Cascaded Network. CoRR (2023)
Jeongjun Choi, Dongseok Shim, H. Jin Kim
DiffuPose: Monocular 3D Human Pose Estimation via Denoising Diffusion Probabilistic Model. IROS (2023)
Dongseok Shim, Seungjae Lee, H. Jin Kim
SNeRL: Semantic-aware Neural Radiance Fields for Reinforcement Learning. CoRR (2023)
Jeongjun Choi, Dongseok Shim, H. Jin Kim
DiffuPose: Monocular 3D Human Pose Estimation via Denoising Diffusion Probabilistic Model. CoRR (2022)
Ki-Ung Song, Dongseok Shim, Kang-Wook Kim, Jae Young Lee, Younggeun Kim
FS-NCSR: Increasing Diversity of the Super-Resolution Space via Frequency Separation and Noise-Conditioned Normalizing Flow. CoRR (2022)
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
NTIRE 2022 Challenge on Learning the Super-Resolution Space. CVPR Workshops (2022)
Ki-Ung Song, Dongseok Shim, Kang-Wook Kim, Jae-Young Lee, Younggeun Kim
FS-NCSR: Increasing Diversity of the Super-Resolution Space via Frequency Separation and Noise-Conditioned Normalizing Flow. CVPR Workshops (2022)
Daesol Cho, Dongseok Shim, H. Jin Kim
S2P: State-conditioned Image Synthesis for Data Augmentation in Offline Reinforcement Learning. CoRR (2022)
Daesol Cho, Dongseok Shim, H. Jin Kim
S2P: State-conditioned Image Synthesis for Data Augmentation in Offline Reinforcement Learning. NeurIPS (2022)
Dongseok Shim, H. Jin Kim
Learning a Geometric Representation for Data-Efficient Depth Estimation via Gradient Field and Contrastive Loss. ICRA (2021)
Dongseok Shim, H. Jin Kim
Learning a Domain-Agnostic Visual Representation for Autonomous Driving via Contrastive Loss. CoRR (2021)
Dongseok Shim, H. Jin Kim
Learning a Geometric Representation for Data-Efficient Depth Estimation via Gradient Field and Contrastive Loss. CoRR (2020)
Dongseok Shim, H. Jin Kim
Gaussian RAM: Lightweight Image Classification via Stochastic Retina-Inspired Glimpse and Reinforcement Learning. CoRR (2020)
Boseong Felipe Jeon, Dongseok Shim, H. Jin Kim
Detection-Aware Trajectory Generation for a Drone Cinematographer. CoRR (2020)