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researcher

Hiromichi Kamata

The University of Tokyo

3 papers hereh-index 2110 citations3 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.NE1
affiliations
  • The University of Tokyo
Homepage

identity via Semantic Scholar / OpenAlex

activity
20212026
most citedInstruct 3D-to-3D: Text Instruction Guided 3D-to-3D conversion

4 citations · 8 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2026

B3-Seg: Camera-Free, Training-Free 3DGS Segmentation via Analytic EIG and Beta-Bernoulli Bayesian Updates

Hiromichi Kamata, Samuel Arthur Munro, Fuminori Homma

Interactive 3D Gaussian Splatting (3DGS) segmentation is essential for real-time editing of pre-reconstructed assets in film and game production. However, existing methods rely on…

cs.CV2023★ 4 cited

Instruct 3D-to-3D: Text Instruction Guided 3D-to-3D conversion

Hiromichi Kamata, Yuiko Sakuma, Akio Hayakawa +2

We propose a high-quality 3D-to-3D conversion method, Instruct 3D-to-3D. Our method is designed for a novel task, which is to convert a given 3D scene to another scene according to…

cs.NE2021★ 4 cited

Fully Spiking Variational Autoencoder

Hiromichi Kamata, Yusuke Mukuta, Tatsuya Harada

Spiking neural networks (SNNs) can be run on neuromorphic devices with ultra-high speed and ultra-low energy consumption because of their binary and event-driven nature. Therefore,…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.