10 citations
3 papers
cs.LG2022★ 10 cited
Lossy compression of matrices by black-box optimisation of mixed integer nonlinear programming
Tadashi Kadowaki, Mitsuru Ambai
In edge computing, suppressing data size is a challenge for machine learning models that perform complex tasks such as autonomous driving, in which computational resources (speed,…
cs.CV2020
Rethinking PointNet Embedding for Faster and Compact Model
Teppei Suzuki, Keisuke Ozawa, Yusuke Sekikawa
PointNet, which is the widely used point-wise embedding method and known as a universal approximator for continuous set functions, can process one million points per second. Nevert…
cs.CV2020★ 1 cited
Superpixel Segmentation via Convolutional Neural Networks with Regularized Information Maximization
Teppei Suzuki
We propose an unsupervised superpixel segmentation method by optimizing a randomly-initialized convolutional neural network (CNN) in inference time. Our method generates superpixel…