2 code implementations • ICLR 2022 • Dongsu Zhang, Changwoon Choi, Inbum Park, Young Min Kim
We also demonstrate that our approach outperforms deterministic models even in less ambiguous cases with a small amount of missing data, which infers that probabilistic formulation is crucial for high-quality geometry completion on input scans exhibiting any levels of completeness.
1 code implementation • ICCV 2021 • Junho Kim, Jaehyeok Bae, Gangin Park, Dongsu Zhang, Young Min Kim
We introduce N-ImageNet, a large-scale dataset targeted for robust, fine-grained object recognition with event cameras.
Ranked #1 on Classification on N-ImageNet (mini)
no code implementations • ICLR 2021 • Dongsu Zhang, Changwoon Choi, Jeonghwan Kim, Young Min Kim
We formulate the shape generation process as sampling from the transition kernel of a Markov chain, where the sampling chain eventually evolves to the full shape of the learned distribution.
1 code implementation • 7 Jul 2020 • Dongsu Zhang, Junha Chun, Sang Kyun Cha, Young Min Kim
We propose spatial semantic embedding network (SSEN), a simple, yet efficient algorithm for 3D instance segmentation using deep metric learning.
1 code implementation • ICLR 2020 • Soochan Lee, Junsoo Ha, Dongsu Zhang, Gunhee Kim
Despite the growing interest in continual learning, most of its contemporary works have been studied in a rather restricted setting where tasks are clearly distinguishable, and task boundaries are known during training.