1 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.SD2022★ 1 cited
Head-Related Transfer Function Interpolation from Spatially Sparse Measurements Using Autoencoder with Source Position Conditioning
Yuki Ito, Tomohiko Nakamura, Shoichi Koyama +1
We propose a method of head-related transfer function (HRTF) interpolation from sparsely measured HRTFs using an autoencoder with source position conditioning. The proposed method…
cs.LG2019★ 1 cited
Profiling based Out-of-core Hybrid Method for Large Neural Networks
Yuki Ito, Haruki Imai, Tung Le Duc +4
GPUs are widely used to accelerate deep learning with NNs (NNs). On the other hand, since GPU memory capacity is limited, it is difficult to implement efficient programs that compu…