Umut Güçlü

Orcid: 0000-0003-4753-159X

According to our database1, Umut Güçlü authored at least 43 papers between 2010 and 2024.

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Bibliography

2024
Brain2GAN: Feature-disentangled neural encoding and decoding of visual perception in the primate brain.
PLoS Comput. Biol., 2024

Dimensions underlying the representational alignment of deep neural networks with humans.
CoRR, 2024

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

Optimization of Neuroprosthetic Vision via End-to-End Deep Reinforcement Learning.
Int. J. Neural Syst., 2022

Efficient Deep Reinforcement Learning with Predictive Processing Proximal Policy Optimization.
CoRR, 2022

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

Detecting neural state transitions underlying event segmentation.
NeuroImage, 2021

ChaLearn Looking at People: Inpainting and Denoising challenges.
CoRR, 2021

2020
Brain-optimized extraction of complex sound features that drive continuous auditory perception.
PLoS Comput. Biol., 2020

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

Explainable 3D Convolutional Neural Networks by Learning Temporal Transformations.
CoRR, 2020

The Indian Chefs Process.
CoRR, 2020

The Indian Chefs Process.
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

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

Background Hardly Matters: Understanding Personality Attribution in Deep Residual Networks.
CoRR, 2019

k-GANs: Ensemble of Generative Models with Semi-Discrete Optimal Transport.
CoRR, 2019

Temporal Factorization of 3D Convolutional Kernels.
Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

Segmentation of Photovoltaic Panels in Aerial Photography Using Group Equivariant FCNs.
Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

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

SpikeCaKe: Semi-Analytic Nonparametric Bayesian Inference for Spike-Spike Neuronal Connectivity.
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

Convolutional neural network-based encoding and decoding of visual object recognition in space and time.
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
Increasingly complex representations of natural movies across the dorsal stream are shared between subjects.
NeuroImage, 2017

Modeling the Dynamics of Human Brain Activity with Recurrent Neural Networks.
Frontiers Comput. Neurosci., 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
Brains on Beats.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 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

2014
Unsupervised Feature Learning Improves Prediction of Human Brain Activity in Response to Natural Images.
PLoS Comput. Biol., 2014

Gaussian mixture models and semantic gating improve reconstructions from human brain activity.
Frontiers Comput. Neurosci., 2014

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


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