Decky Aspandi

According to our database, Decky Aspandi authored at least 19 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

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

Alexandra Baier, Decky Aspandi, Steffen Staab

Dataset, May, 2023

Audio-Visual Gated-Sequenced Neural Networks for Affect Recognition.

Decky Aspandi, Federico Sukno, Björn W. Schuller, Xavier Binefa

IEEE Trans. Affect. Comput., 2023

Predicting Eye Gaze Location on Websites.

Ciheng Zhang, Decky Aspandi, Steffen Staab

Proceedings of the 18th International Joint Conference on Computer Vision, 2023

ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks.

Alexandra Baier, Decky Aspandi, Steffen Staab

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.

Nuria Rodriguez-Diaz, Decky Aspandi, Federico M. Sukno, Xavier Binefa

Future Internet, 2022

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

Daniel Frank, Decky Aspandi-Latif, Michael Muehlebach, Benjamin Unger, Steffen Staab

CoRR, 2022

Detecting Anomalies within Time Series using Local Neural Transformations.

Tim Schneider, Chen Qiu, Marius Kloft, Decky Aspandi-Latif, Steffen Staab, Stephan Mandt, Maja Rudolph

CoRR, 2022

User Interaction Analysis through Contrasting Websites Experience.

Decky Aspandi, Sarah Doosdal, Victor Ülger, Lukas Gillich, Steffen Staab

CoRR, 2022

2021

Deep spatio-temporal neural network for facial analysis.

Decky Aspandi

PhD thesis, 2021

Composite recurrent network with internal denoising for facial alignment in still and video images in the wild.

Decky Aspandi, Oriol Martínez, Federico Sukno, Xavier Binefa

Image Vis. Comput., 2021

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

Nuria Rodriguez-Diaz, Decky Aspandi, Federico Sukno, Xavier Binefa

CoRR, 2021

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

Decky Aspandi-Latif, Sally Goldin, Preesan Rakwatin, Kurt Rudahl

CoRR, 2021

An Enhanced Adversarial Network with Combined Latent Features for Spatio-temporal Facial Affect Estimation in the Wild.

Decky Aspandi, Federico Sukno, Björn W. Schuller, Xavier Binefa

Proceedings of the 16th International Joint Conference on Computer Vision, 2021

2020

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

Decky Aspandi, Adria Mallol-Ragolta, Björn W. Schuller, Xavier Binefa

CoRR, 2020

End-to-end Facial and Physiological Model for Affective Computing and Applications.

Joaquim Comas, Decky Aspandi, Xavier Binefa

Proceedings of the 15th IEEE International Conference on Automatic Face and Gesture Recognition, 2020

Latent-Based Adversarial Neural Networks for Facial Affect Estimations.

Decky Aspandi, Adria Mallol-Ragolta, Björn W. Schuller, Xavier Binefa

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.

Decky Aspandi, Oriol Martínez, Federico Sukno, Xavier Binefa

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.

Decky Aspandi, Oriol Martínez, Xavier Binefa

Proceedings of the 14th IEEE International Conference on Automatic Face & Gesture Recognition, 2019

Robust Facial Alignment with Internal Denoising Auto-Encoder.

Decky Aspandi, Oriol Martínez, Federico Sukno, Xavier Binefa

Proceedings of the 16th Conference on Computer and Robot Vision, 2019