Search Results for author:
Found 4 papers, 4 papers with code
Extending GCC-PHAT using Shift Equivariant Neural Networks
Speaker localization using microphone arrays depends on accurate time delay estimation techniques.
Points to Patches: Enabling the Use of Self-Attention for 3D Shape Recognition
While the Transformer architecture has become ubiquitous in the machine learning field, its adaptation to 3D shape recognition is non-trivial.
Ranked #6 on
Point Cloud Registration
on 3DMatch Benchmark
Keyword Transformer: A Self-Attention Model for Keyword Spotting
The Transformer architecture has been successful across many domains, including natural language processing, computer vision and speech recognition.
Ranked #5 on
Keyword Spotting
on Google Speech Commands
(using extra training data)
Deep Ordinal Regression with Label Diversity
By discretizing the target into a set of non-overlapping classes, it has been shown that training a classifier can improve neural network accuracy compared to using a standard regression approach.
Ranked #2 on
Head Pose Estimation
on BIWI
(MAE (trained with BIWI data) metric)
