Decky Aspandi

Orcid: 0000-0002-6653-3470

According to our database1, Decky Aspandi authored at least 20 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Deep self-supervised learning with visualisation for automatic gesture recognition.
CoRR, 2024

2023
Supplements for "ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks"".
Dataset, May, 2023

Audio-Visual Gated-Sequenced Neural Networks for Affect Recognition.
IEEE Trans. Affect. Comput., 2023

Predicting Eye Gaze Location on Websites.
Proceedings of the 18th International Joint Conference on Computer Vision, 2023

ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022
Machine Learning-Based Lie Detector Applied to a Novel Annotated Game Dataset.
Future Internet, 2022

Robust Recurrent Neural Network to Identify Ship Motion in Open Water with Performance Guarantees - Technical Report.
CoRR, 2022

Detecting Anomalies within Time Series using Local Neural Transformations.
CoRR, 2022

User Interaction Analysis through Contrasting Websites Experience.
CoRR, 2022

2021
Deep spatio-temporal neural network for facial analysis.
PhD thesis, 2021

Composite recurrent network with internal denoising for facial alignment in still and video images in the wild.
Image Vis. Comput., 2021

Machine Learning based Lie Detector applied to a Collected and Annotated Dataset.
CoRR, 2021

Texture Based Classification of High Resolution Remotely Sensed Imagery using Weber Local Descriptor.
CoRR, 2021

An Enhanced Adversarial Network with Combined Latent Features for Spatio-temporal Facial Affect Estimation in the Wild.
Proceedings of the 16th International Joint Conference on Computer Vision, 2021

2020
Adversarial-based neural networks for affect estimations in the wild.
CoRR, 2020

End-to-end Facial and Physiological Model for Affective Computing and Applications.
Proceedings of the 15th IEEE International Conference on Automatic Face and Gesture Recognition, 2020

Latent-Based Adversarial Neural Networks for Facial Affect Estimations.
Proceedings of the 15th IEEE International Conference on Automatic Face and Gesture Recognition, 2020

2019
Fully End-to-End Composite Recurrent Convolution Network for Deformable Facial Tracking In The Wild.
Proceedings of the 14th IEEE International Conference on Automatic Face & Gesture Recognition, 2019

Heatmap-Guided Balanced Deep Convolution Networks for Family Classification in the Wild.
Proceedings of the 14th IEEE International Conference on Automatic Face & Gesture Recognition, 2019

Robust Facial Alignment with Internal Denoising Auto-Encoder.
Proceedings of the 16th Conference on Computer and Robot Vision, 2019


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