Yagmur Güçlütürk

Orcid: 0000-0001-7872-3573

According to our database1, Yagmur Güçlütürk authored at least 22 papers between 2010 and 2022.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2022
First Impressions: A Survey on Vision-Based Apparent Personality Trait Analysis.
IEEE Trans. Affect. Comput., 2022

Modeling, Recognizing, and Explaining Apparent Personality From Videos.
IEEE Trans. Affect. Comput., 2022

2021
End-to-end neural system identification with neural information flow.
PLoS Comput. Biol., 2021

2020
Guest Editorial: Image and Video Inpainting and Denoising.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

2019
Current Advances in Neural Decoding.
Proceedings of the Explainable AI: Interpreting, 2019

Forward Amortized Inference for Likelihood-Free Variational Marginalization.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Simulating neuroprosthetic vision for emotion recognition.
Proceedings of the 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, 2019

2018
Multimodal First Impression Analysis with Deep Residual Networks.
IEEE Trans. Affect. Comput., 2018

Generative adversarial networks for reconstructing natural images from brain activity.
NeuroImage, 2018

Wasserstein Variational Gradient Descent: From Semi-Discrete Optimal Transport to Ensemble Variational Inference.
CoRR, 2018

First Impressions: A Survey on Computer Vision-Based Apparent Personality Trait Analysis.
CoRR, 2018

Explaining First Impressions: Modeling, Recognizing, and Explaining Apparent Personality from Videos.
CoRR, 2018

Wasserstein Variational Inference.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017
Deep adversarial neural decoding.
CoRR, 2017

End-to-end semantic face segmentation with conditional random fields as convolutional, recurrent and adversarial networks.
CoRR, 2017

Reconstructing perceived faces from brain activations with deep adversarial neural decoding.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Design of an explainable machine learning challenge for video interviews.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Visualizing Apparent Personality Analysis with Deep Residual Networks.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2016
Convolutional Sketch Inversion.
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

Deep Impression: Audiovisual Deep Residual Networks for Multimodal Apparent Personality Trait Recognition.
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

2011
Evaluation of fractal dimension estimation methods for feature extraction in motor imagery based brain computer interface.
Proceedings of the First World Conference on Information Technology, 2011

2010
A novel approach to improve the performance of the P300 speller paradigm.
Proceedings of the IEEE International Conference on Systems, 2010


  Loading...