41 citations · 54 across the 5 of their papers we have counts for
8 papers
Work-Efficient Parallel Non-Maximum Suppression Kernels
David Oro, Carles Fernández, Xavier Martorell +1
In the context of object detection, sliding-window classifiers and single-shot Convolutional Neural Network (CNN) meta-architectures typically yield multiple overlapping candidate…
Speaker Characterization by means of Attention Pooling
Federico Costa, Miquel India, Javier Hernando
State-of-the-art Deep Learning systems for speaker verification are commonly based on speaker embedding extractors. These architectures are usually composed of a feature extractor…
The UPC Speaker Verification System Submitted to VoxCeleb Speaker Recognition Challenge 2020 (VoxSRC-20)
Umair Khan, Javier Hernando
This report describes the submission from Technical University of Catalonia (UPC) to the VoxCeleb Speaker Recognition Challenge (VoxSRC-20) at Interspeech 2020. The final submissio…
Self-attention encoding and pooling for speaker recognition
Pooyan Safari, Miquel India, Javier Hernando
The computing power of mobile devices limits the end-user applications in terms of storage size, processing, memory and energy consumption. These limitations motivate researchers f…
Double Multi-Head Attention for Speaker Verification
Miquel India, Pooyan Safari, Javier Hernando
Most state-of-the-art Deep Learning systems for speaker verification are based on speaker embedding extractors. These architectures are commonly composed of a feature extractor fro…
End-to-end User Recognition using Touchscreen Biometrics
Michał Krzemiński, Javier Hernando
We study the touchscreen data as behavioural biometrics. The goal was to create an end-to-end system that can transparently identify users using raw data from mobile devices. The t…