Dongseok Shim

27 papers A* 4A 1Journal 19Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Echoes Over Time: Unlocking Length Generalization in Video-to-Audio Generation Models.
CoRR
Christian Simon, Masato Ishii, Wei-Yao Wang, Koichi Saito, Akio Hayakawa, Dongseok Shim, Zhi Zhong, Shuyang Cui, Shusuke Takahashi, Takashi Shibuya, Yuki Mitsufuji
2025 J jnl
Periodic Skill Discovery.
CoRR
Jonghae Park, Daesol Cho, Jusuk Lee, Dongseok Shim, Inkyu Jang, H. Jin Kim
2025 J jnl
Single-View 3D-Aware Representations for Reinforcement Learning by Cross-View Neural Radiance Fields.
IEEE Robotics Autom. Lett.
Daesol Cho, Seungyeon Yoo, Dongseok Shim, H. Jin Kim
2024 J jnl
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, H. Jin Kim
2024 J jnl
DIVIDE: Learning a Domain-Invariant Geometric Space for Depth Estimation.
IEEE Robotics Autom. Lett.
Dongseok Shim, H. Jin Kim
2024 J jnl
MVLight: Relightable Text-to-3D Generation via Light-conditioned Multi-View Diffusion.
CoRR
Dongseok Shim, Yichun Shi, Kejie Li, H. Jin Kim, Peng Wang
2024 J jnl
Magnituder Layers for Implicit Neural Representations in 3D.
CoRR
Sang Min Kim, Byeongchan Kim, Arijit Sehanobish, Krzysztof Choromanski, Dongseok Shim, Avinava Dubey, Min-hwan Oh
2024 J jnl
Mono-Camera-Only Target Chasing for a Drone in a Dense Environment by Cross-Modal Learning.
IEEE Robotics Autom. Lett.
Seungyeon Yoo, Seungwoo Jung, Yunwoo Lee, Dongseok Shim, H. Jin Kim
2024 J jnl
Object Remover Performance Evaluation Methods using Class-wise Object Removal Images.
CoRR
Changsuk Oh, Dongseok Shim, Taekbeom Lee, H. Jin Kim
2024 — conf
SEDiff: Structure Extraction for Domain Adaptive Depth Estimation via Denoising Diffusion Models.
ECCV (19)
Dongseok Shim, H. Jin Kim
2023 J jnl
AURA : Automatic Mask Generator using Randomized Input Sampling for Object Removal.
CoRR
Changsuk Oh, Dongseok Shim, H. Jin Kim
2023 A conf
DiffuPose: Monocular 3D Human Pose Estimation via Denoising Diffusion Probabilistic Model.
IROS
Jeongjun Choi, Dongseok Shim, H. Jin Kim
2023 A* conf
SNeRL: Semantic-aware Neural Radiance Fields for Reinforcement Learning.
ICML
Dongseok Shim, Seungjae Lee, H. Jin Kim
2023 J jnl
SNeRL: Semantic-aware Neural Radiance Fields for Reinforcement Learning.
CoRR
Dongseok Shim, Seungjae Lee, H. Jin Kim
2023 A* conf
SwinDepth: Unsupervised Depth Estimation using Monocular Sequences via Swin Transformer and Densely Cascaded Network.
ICRA
Dongseok Shim, H. Jin Kim
2023 J jnl
SwinDepth: Unsupervised Depth Estimation using Monocular Sequences via Swin Transformer and Densely Cascaded Network.
CoRR
Dongseok Shim, H. Jin Kim
2022 J jnl
DiffuPose: Monocular 3D Human Pose Estimation via Denoising Diffusion Probabilistic Model.
CoRR
Jeongjun Choi, Dongseok Shim, H. Jin Kim
2022 — conf
FS-NCSR: Increasing Diversity of the Super-Resolution Space via Frequency Separation and Noise-Conditioned Normalizing Flow.
CVPR Workshops
Ki-Ung Song, Dongseok Shim, Kang-wook Kim, Jae-Young Lee, Younggeun Kim
2022 J jnl
FS-NCSR: Increasing Diversity of the Super-Resolution Space via Frequency Separation and Noise-Conditioned Normalizing Flow.
CoRR
Ki-Ung Song, Dongseok Shim, Kang-wook Kim, Jae Young Lee, Younggeun Kim
2022 — conf
NTIRE 2022 Challenge on Learning the Super-Resolution Space.
CVPR Workshops
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
2022 A* conf
S2P: State-conditioned Image Synthesis for Data Augmentation in Offline Reinforcement Learning.
NeurIPS
Daesol Cho, Dongseok Shim, H. Jin Kim
2022 J jnl
S2P: State-conditioned Image Synthesis for Data Augmentation in Offline Reinforcement Learning.
CoRR
Daesol Cho, Dongseok Shim, H. Jin Kim
2021 J jnl
Learning a Domain-Agnostic Visual Representation for Autonomous Driving via Contrastive Loss.
CoRR
Dongseok Shim, H. Jin Kim
2021 A* conf
Learning a Geometric Representation for Data-Efficient Depth Estimation via Gradient Field and Contrastive Loss.
ICRA
Dongseok Shim, H. Jin Kim
2020 J jnl
Detection-Aware Trajectory Generation for a Drone Cinematographer.
CoRR
Boseong Felipe Jeon, Dongseok Shim, H. Jin Kim
2020 J jnl
Gaussian RAM: Lightweight Image Classification via Stochastic Retina-Inspired Glimpse and Reinforcement Learning.
CoRR
Dongseok Shim, H. Jin Kim
2020 J jnl
Learning a Geometric Representation for Data-Efficient Depth Estimation via Gradient Field and Contrastive Loss.
CoRR
Dongseok Shim, H. Jin Kim