Haseyama, Miki

9 publications

NeurIPS 2025 Hyperbolic Dataset Distillation Wenyuan Li, Guang Li, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama

AISTATS 2025 Hyperboloid GPLVM for Discovering Continuous Hierarchies via Nonparametric Estimation Koshi Watanabe, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama

AAAI 2025 Manta: Enhancing Mamba for Few-Shot Action Recognition of Long Sub-Sequence Wenbo Huang, Jinghui Zhang, Guang Li, Lei Zhang, Shuoyuan Wang, Fang Dong, Jiahui Jin, Takahiro Ogawa, Miki Haseyama

ECCVW 2024 Generative Dataset Distillation Based on Diffusion Model Duo Su, Junjie Hou, Guang Li, Ren Togo, Rui Song, Takahiro Ogawa, Miki Haseyama

CVPRW 2024 Generative Dataset Distillation: Balancing Global Structure and Local Details Longzhen Li, Guang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama

ECCVW 2024 RGMIM: Region-Guided Masked Image Modeling for Learning Meaningful Representations from X-Ray Images Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama

ICLR 2023 Gromov-Wasserstein Autoencoders Nao Nakagawa, Ren Togo, Takahiro Ogawa, Miki Haseyama

ECML-PKDD 2022 Summarizing Data Structures with Gaussian Process and Robust Neighborhood Preservation Koshi Watanabe, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama

ECCV 2022 Union-Set Multi-Source Model Adaptation for Semantic Segmentation Zongyao Li, Ren Togo, Takahiro Ogawa, Miki Haseyama