5 citations · 8 across the 2 of their papers we have counts for
2 papers
cs.CV2023★ 5 cited
Self-supervised Learning of Rotation-invariant 3D Point Set Features using Transformer and its Self-distillation
Takahiko Furuya, Zhoujie Chen, Ryutarou Ohbuchi +1
Invariance against rotations of 3D objects is an important property in analyzing 3D point set data. Conventional 3D point set DNNs having rotation invariance typically obtain accur…
cs.CV2021★ 3 cited
DeepDiffusion: Unsupervised Learning of Retrieval-adapted Representations via Diffusion-based Ranking on Latent Feature Manifold
Takahiko Furuya, Ryutarou Ohbuchi
Unsupervised learning of feature representations is a challenging yet important problem for analyzing a large collection of multimedia data that do not have semantic labels. Recent…