Pinar Akyazi

According to our database, Pinar Akyazi authored at least 13 papers between 2010 and 2019.

Collaborative distances:

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

2019

Perceptual Quality Study on Deep Learning Based Image Compression.

Zhengxue Cheng, Pinar Akyazi, Heming Sun, Jiro Katto, Touradj Ebrahimi

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Inpainting in Omnidirectional Images for Privacy Protection.

Evgeniy Upenik, Pinar Akyazi, Mehmet Tuzmen, Touradj Ebrahimi

Proceedings of the IEEE International Conference on Acoustics, 2019

An improved objective metric to predict image quality using deep neural networks.

Pinar Akyazi, Touradj Ebrahimi

Proceedings of the Human Vision and Electronic Imaging 2019, 2019

Learning-Based Image Compression using Convolutional Autoencoder and Wavelet Decomposition.

Pinar Akyazi, Touradj Ebrahimi

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

Comparison of Compression Efficiency between HEVC/H.265, VP9 and AV1 based on Subjective Quality Assessments.

Pinar Akyazi, Touradj Ebrahimi

Proceedings of the Tenth International Conference on Quality of Multimedia Experience, 2018

A Novel Method for Sampling Bandlimited Graph Signals.

Dion Eustathios Olivier Tzamarias, Pinar Akyazi, Pascal Frossard

Proceedings of the 26th European Signal Processing Conference, 2018

Graph-Based Inpainting of Disocclusion Holes for Zooming in 3D Scenes.

Pinar Akyazi, Pascal Frossard

Proceedings of the 26th European Signal Processing Conference, 2018

2017

Graph-based interpolation for zooming in 3D scenes.

Pinar Akyazi, Pascal Frossard

Proceedings of the 25th European Signal Processing Conference, 2017

2011

The subspace Gaussian mixture model - A structured model for speech recognition.

Daniel Povey, Lukás Burget, Mohit Agarwal, Pinar Akyazi, Kai Feng, Arnab Ghoshal, Ondrej Glembek, Nagendra K. Goel, Martin Karafiát, Ariya Rastrow, Richard C. Rose, Petr Schwarz, Samuel Thomas

Comput. Speech Lang., 2011

2010

Subspace Gaussian Mixture Models for speech recognition.

Daniel Povey, Lukás Burget, Mohit Agarwal, Pinar Akyazi, Kai Feng, Arnab Ghoshal, Ondrej Glembek, Nagendra K. Goel, Martin Karafiát, Ariya Rastrow, Richard C. Rose, Petr Schwarz, Samuel Thomas

Proceedings of the IEEE International Conference on Acoustics, 2010

Approaches to automatic lexicon learning with limited training examples.

Nagendra Goel, Samuel Thomas, Mohit Agarwal, Pinar Akyazi, Lukás Burget, Kai Feng, Arnab Ghoshal, Ondrej Glembek, Martin Karafiát, Daniel Povey, Ariya Rastrow, Richard C. Rose, Petr Schwarz

Proceedings of the IEEE International Conference on Acoustics, 2010

A novel estimation of feature-space MLLR for full-covariance models.

Arnab Ghoshal, Daniel Povey, Mohit Agarwal, Pinar Akyazi, Lukás Burget, Kai Feng, Ondrej Glembek, Nagendra Goel, Martin Karafiát, Ariya Rastrow, Richard C. Rose, Petr Schwarz, Samuel Thomas

Proceedings of the IEEE International Conference on Acoustics, 2010

Multilingual acoustic modeling for speech recognition based on subspace Gaussian Mixture Models.

Lukás Burget, Petr Schwarz, Mohit Agarwal, Pinar Akyazi, Kai Feng, Arnab Ghoshal, Ondrej Glembek, Nagendra K. Goel, Martin Karafiát, Daniel Povey, Ariya Rastrow, Richard C. Rose, Samuel Thomas

Proceedings of the IEEE International Conference on Acoustics, 2010