| NTIRE 2022 challenge on learning the super-resolution space A Lugmayr, M Danelljan, R Timofte, K Kim, Y Kim, J Lee, Z Li, J Pan, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 23 | 2022 |
| Diffupose: Monocular 3d human pose estimation via denoising diffusion probabilistic model J Choi, D Shim, HJ Kim 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023 | 17 | 2023 |
| Detection-aware trajectory generation for a drone cinematographer BF Jeon, D Shim, HJ Kim 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 14 | 2020 |
| SNeRL: Semantic-aware Neural Radiance Fields for Reinforcement Learning D Shim, S Lee, HJ Kim 2023 International Conference on Machine Learning (ICML), 2023 | 12 | 2023 |
| Fs-ncsr: Increasing diversity of the super-resolution space via frequency separation and noise-conditioned normalizing flow KU Song, D Shim, K Kim, J Lee, Y Kim 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition …, 2022 | 10 | 2022 |
| S2P: State-conditioned Image Synthesis for Data Augmentation in Offline Reinforcement Learning D Cho, D Shim, HJ Kim 2022 36th Advances in Neural Information Processing Systems (NeurIPS)., 2022 | 8 | 2022 |
| SwinDepth: Unsupervised Depth Estimation using Monocular Sequences via Swin Transformer and Densely Cascaded Network D Shim, HJ Kim 2023 IEEE International Conference on Robotics and Automation (ICRA), 2023 | 5 | 2023 |
| Traffic light recognition based on one-dimensional convolutional neural network C Oh, D Sim, HJ Kim 2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020 | 5 | 2020 |
| Learning a domain-agnostic visual representation for autonomous driving via contrastive loss D Shim, HJ Kim arXiv preprint arXiv:2103.05902, 2021 | 4 | 2021 |
| Gaussian RAM: Lightweight image classification via stochastic retina-inspired glimpse and reinforcement learning D Shim, HJ Kim 2020 20th International Conference on Control, Automation and Systems (ICCAS …, 2020 | 4 | 2020 |
| Learning a Geometric Representation for Data-Efficient Depth Estimation via Gradient Field and Contrastive Loss D Shim, HJ Kim 2021 IEEE International Conference on Robotics and Automation (ICRA), 13634 …, 2021 | 1 | 2021 |
| DIVIDE: Learning a Domain-Invariant Geometric Space for Depth Estimation D Shim, HJ Kim IEEE Robotics and Automation Letters, 2024 | | 2024 |
| Automatic Pseudo-LiDAR Annotation: Generation of Training Data for 3D Object Detection Networks C Oh, Y Jang, D Shim, C Kim, J Kim, HJ Kim IEEE Access, 2024 | | 2024 |
Jeongjun ChoiSeoul National Universitysnu.ac.kr의 이메일 확인됨
