Detection-Aware Trajectory Generation for a Drone Cinematographer. - Boseong Felipe Jeon; Dongseok Shim; H. Jin Kim (CoRR, 2020)

Gaussian RAM: Lightweight Image Classification via Stochastic Retina-Inspired Glimpse and Reinforcement Learning. - Dongseok Shim; H. Jin Kim (CoRR, 2020)

Learning a Geometric Representation for Data-Efficient Depth Estimation via Gradient Field and Contrastive Loss. - Dongseok Shim; H. Jin Kim (ICRA, 2021)

Learning a Domain-Agnostic Visual Representation for Autonomous Driving via Contrastive Loss. - Dongseok Shim; H. Jin Kim (CoRR, 2021)

NTIRE 2022 Challenge on Learning the Super-Resolution Space. - Andreas Lugmayr; Martin Danelljan; Radu Timofte; Kang-wook Kim 004; Younggeun Kim; Jae-Young Lee; Zechao Li; Jinshan Pan; Dongseok Shim; Ki-Ung Song; Jinhui Tang 001; Cong Wang 018; et al. (CVPR Workshops, 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 004; Jae-Young Lee; Younggeun Kim (CVPR Workshops, 2022)

S2P: State-conditioned Image Synthesis for Data Augmentation in Offline Reinforcement Learning. - Daesol Cho; Dongseok Shim; H. Jin Kim (NeurIPS, 2022)

SNeRL: Semantic-aware Neural Radiance Fields for Reinforcement Learning. - Dongseok Shim; Seungjae Lee 002; H. Jin Kim (ICML, 2023)

SwinDepth: Unsupervised Depth Estimation using Monocular Sequences via Swin Transformer and Densely Cascaded Network. - Dongseok Shim; H. Jin Kim (ICRA, 2023)

DiffuPose: Monocular 3D Human Pose Estimation via Denoising Diffusion Probabilistic Model. - Jeongjun Choi; Dongseok Shim; H. Jin Kim (IROS, 2023)

AURA : Automatic Mask Generator using Randomized Input Sampling for Object Removal. - Changsuk Oh; Dongseok Shim; H. Jin Kim (CoRR, 2023)

SEDiff: Structure Extraction for Domain Adaptive Depth Estimation via Denoising Diffusion Models. - Dongseok Shim; H. Jin Kim (ECCV (19), 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)

Object Remover Performance Evaluation Methods using Class-wise Object Removal Images. - Changsuk Oh; Dongseok Shim; Taekbeom Lee; H. Jin Kim (CoRR, 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)

MVLight: Relightable Text-to-3D Generation via Light-conditioned Multi-View Diffusion. - Dongseok Shim; Yichun Shi; Kejie Li; H. Jin Kim; Peng Wang (CoRR, 2024)

DIVIDE: Learning a Domain-Invariant Geometric Space for Depth Estimation. - Dongseok Shim; H. Jin Kim (IEEE Robotics Autom. Lett., 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., 2024)