2 citations · 3 across the 4 of their papers we have counts for
4 papers
WgPy: GPU-accelerated NumPy-like array library for web browsers
Masatoshi Hidaka, Tatsuya Harada
To execute scientific computing programs such as deep learning at high speed, GPU acceleration is a powerful option. With the recent advancements in web technologies, interfaces li…
DistML.js: Installation-free Distributed Deep Learning Framework for Web Browsers
Masatoshi Hidaka, Tomohiro Hashimoto, Yuto Nishizawa +1
We present "DistML.js", a library designed for training and inference of machine learning models within web browsers. Not only does DistML.js facilitate model training on local dev…
Development of JavaScript-based deep learning platform and application to distributed training
Masatoshi Hidaka, Ken Miura, Tatsuya Harada
Deep learning is increasingly attracting attention for processing big data. Existing frameworks for deep learning must be set up to specialized computer systems. Gaining sufficient…
Improved Dense Trajectory with Cross Streams
Katsunori Ohnishi, Masatoshi Hidaka, Tatsuya Harada
Improved dense trajectories (iDT) have shown great performance in action recognition, and their combination with the two-stream approach has achieved state-of-the-art performance.…