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Deep Distributional Sequence Embeddings Based on a Wasserstein Loss

Deep Distributional Sequence Embeddings Based on a Wasserstein Loss

4 December 2019
A. Abdelwahab
Niels Landwehr
ArXivPDFHTML

Papers citing "Deep Distributional Sequence Embeddings Based on a Wasserstein Loss"

5 / 5 papers shown
Title
Signal vs Noise in Eye-tracking Data: Biometric Implications and
  Identity Information Across Frequencies
Signal vs Noise in Eye-tracking Data: Biometric Implications and Identity Information Across Frequencies
M. H. Raju
Lee Friedman
D. Lohr
Oleg V. Komogortsev
28
3
0
08 May 2023
Eye Know You Too: A DenseNet Architecture for End-to-end Eye Movement
  Biometrics
Eye Know You Too: A DenseNet Architecture for End-to-end Eye Movement Biometrics
D. Lohr
Oleg V. Komogortsev
25
4
0
05 Jan 2022
Eye Know You: Metric Learning for End-to-end Biometric Authentication
  Using Eye Movements from a Longitudinal Dataset
Eye Know You: Metric Learning for End-to-end Biometric Authentication Using Eye Movements from a Longitudinal Dataset
D. Lohr
Henry K. Griffith
Oleg V. Komogortsev
37
29
0
21 Apr 2021
VoxCeleb2: Deep Speaker Recognition
VoxCeleb2: Deep Speaker Recognition
Joon Son Chung
Arsha Nagrani
Andrew Zisserman
266
2,242
0
14 Jun 2018
Learning Deep Representations of Fine-grained Visual Descriptions
Learning Deep Representations of Fine-grained Visual Descriptions
Scott E. Reed
Zeynep Akata
Bernt Schiele
Honglak Lee
OCL
VLM
176
840
0
17 May 2016
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