13 citations · 17 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 13 cited
Addressing Gap between Training Data and Deployed Environment by On-Device Learning
Kazuki Sunaga, Masaaki Kondo, Hiroki Matsutani
The accuracy of tinyML applications is often affected by various environmental factors, such as noises, location/calibration of sensors, and time-related changes. This article intr…
cs.GR2019★ 4 cited
Generation High resolution 3D model from natural language by Generative Adversarial Network
Kentaro Fukamizu, Masaaki Kondo, Ryuichi Sakamoto
We present a method of generating high resolution 3D shapes from natural language descriptions. To achieve this goal, we propose two steps that generating low resolution shapes whi…