100 citations · 103 across the 5 of their papers we have counts for
7 papers
Galerkin Method of Regularized Stokeslets for Procedural Fluid Flow with Control Curves
Ryusuke Sugimoto, Jeff Lait, Christopher Batty +1
We present a new procedural incompressible velocity field authoring tool, which lets users design a volumetric flow by directly specifying velocity along control curves. Our method…
Regression-based Monte Carlo Integration
Corentin Salaün, Adrien Gruson, Binh-Son Hua +2
Monte Carlo integration is typically interpreted as an estimator of the expected value using stochastic samples. There exists an alternative interpretation in calculus where Monte…
Deep Adaptive Wavelet Network
Maria Ximena Bastidas Rodriguez, Adrien Gruson, Luisa F. Polania +4
Even though convolutional neural networks have become the method of choice in many fields of computer vision, they still lack interpretability and are usually designed manually in…
Quantum Coin Method for Numerical Integration
N. H. Shimada, Toshiya Hachisuka
Monte Carlo integration approximates an integral of a black-box function by taking the average of many evaluations (i.e., samples) of the function (integrand). For queries of t…
Wavelet Convolutional Neural Networks
Shin Fujieda, Kohei Takayama, Toshiya Hachisuka
Spatial and spectral approaches are two major approaches for image processing tasks such as image classification and object recognition. Among many such algorithms, convolutional n…
Wavelet Convolutional Neural Networks for Texture Classification
Shin Fujieda, Kohei Takayama, Toshiya Hachisuka
Texture classification is an important and challenging problem in many image processing applications. While convolutional neural networks (CNNs) achieved significant successes for…