no code implementations • 1 Jan 2021 • Thirza Dado, Yağmur Güçlütürk, Luca Ambrogioni, Gabrielle Ras, Sander E. Bosch, Marcel van Gerven, Umut Güçlü
We introduce a new framework for hyperrealistic reconstruction of perceived naturalistic stimuli from brain recordings.
no code implementations • NeurIPS 2018 • Luca Ambrogioni, Umut Güçlü, Yağmur Güçlütürk, Max Hinne, Eric Maris, Marcel A. J. van Gerven
This paper introduces Wasserstein variational inference, a new form of approximate Bayesian inference based on optimal transport theory.
no code implementations • 29 May 2018 • Luca Ambrogioni, Umut Güçlü, Julia Berezutskaya, Eva W. P. van den Borne, Yağmur Güçlütürk, Max Hinne, Eric Maris, Marcel A. J. van Gerven
In this paper, we introduce a new form of amortized variational inference by using the forward KL divergence in a joint-contrastive variational loss.
no code implementations • 21 Apr 2018 • Julio C. S. Jacques Junior, Yağmur Güçlütürk, Marc Pérez, Umut Güçlü, Carlos Andujar, Xavier Baró, Hugo Jair Escalante, Isabelle Guyon, Marcel A. J. van Gerven, Rob Van Lier, Sergio Escalera
However, recently there has been an increasing interest from the computer vision community in analyzing personality from visual data.
no code implementations • NeurIPS 2017 • Yağmur Güçlütürk, Umut Güçlü, Katja Seeliger, Sander Bosch, Rob Van Lier, Marcel A. J. van Gerven
Here, we present a novel approach to solve the problem of reconstructing perceived stimuli from brain responses by combining probabilistic inference with deep learning.
1 code implementation • 19 May 2017 • Yağmur Güçlütürk, Umut Güçlü, Katja Seeliger, Sander Bosch, Rob Van Lier, Marcel van Gerven
Here, we present a novel approach to solve the problem of reconstructing perceived stimuli from brain responses by combining probabilistic inference with deep learning.
no code implementations • 9 Mar 2017 • Umut Güçlü, Yağmur Güçlütürk, Meysam Madadi, Sergio Escalera, Xavier Baró, Jordi González, Rob Van Lier, Marcel A. J. van Gerven
Recent years have seen a sharp increase in the number of related yet distinct advances in semantic segmentation.
1 code implementation • 16 Sep 2016 • Yağmur Güçlütürk, Umut Güçlü, Marcel A. J. van Gerven, Rob Van Lier
Here, we develop an audiovisual deep residual network for multimodal apparent personality trait recognition.
2 code implementations • 9 Jun 2016 • Yağmur Güçlütürk, Umut Güçlü, Rob Van Lier, Marcel A. J. van Gerven
In this paper, we use deep neural networks for inverting face sketches to synthesize photorealistic face images.