A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning S Lee, J Ha, D Zhang, G Kim arXiv preprint arXiv:2001.00689, 2020 | 262 | 2020 |
N-imagenet: Towards robust, fine-grained object recognition with event cameras J Kim, J Bae, G Park, D Zhang, YM Kim Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 95 | 2021 |
Learning to Generate 3D Shapes with Generative Cellular Automata D Zhang, C Choi, J Kim, YM Kim arXiv preprint arXiv:2103.04130, 2021 | 29 | 2021 |
Spatial semantic embedding network: fast 3D instance segmentation with deep metric learning D Zhang, J Chun, SK Cha, YM Kim arXiv preprint arXiv:2007.03169, 2020 | 19 | 2020 |
Investigating chiral morphogenesis of gold using generative cellular automata SW Im, D Zhang, JH Han, RM Kim, C Choi, YM Kim, KT Nam Nature Materials, 1-7, 2024 | 8 | 2024 |
Probabilistic Implicit Scene Completion D Zhang, C Choi, I Park, YM Kim International Conference on Learning Representations, 2021 | 6 | 2021 |
Outdoor Scene Extrapolation with Hierarchical Generative Cellular Automata D Zhang, F Williams, Z Gojcic, K Kreis, S Fidler, YM Kim, A Kar Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
Supplementary Material N-ImageNet: Towards Robust, Fine-Grained Object Recognition with Event Cameras J Kim, J Bae, G Park, D Zhang, YM Kim | | |