Search Results for author:
Found 5 papers, 3 papers with code
SAiD: Speech-driven Blendshape Facial Animation with Diffusion
Speech-driven 3D facial animation is challenging due to the scarcity of large-scale visual-audio datasets despite extensive research.
Efficient Neural Network Approximation of Robust PCA for Automated Analysis of Calcium Imaging Data
Calcium imaging is an essential tool to study the activity of neuronal populations.
SliceNStitch: Continuous CP Decomposition of Sparse Tensor Streams
SLICENSTITCH changes the starting point of each period adaptively, based on the current time, and updates factor matrices (i. e., outputs of CP decomposition) instantly as new data arrives.
Deep-Learning Study of the 21cm Differential Brightness Temperature During the Epoch of Reionization
We propose a deep learning analyzing technique with convolutional neural network (CNN) to predict the evolutionary track of the Epoch of Reionization (EoR) from the 21-cm differential brightness temperature tomography images.
Cosmology and Nongalactic Astrophysics
Multi-Scale Distributed Representation for Deep Learning and its Application to b-Jet Tagging
Recently machine learning algorithms based on deep layered artificial neural networks (DNNs) have been applied to a wide variety of high energy physics problems such as jet tagging or event classification.
