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Pinar Akyazi
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2010 – 2019
- 2019
- [c12]Pinar Akyazi, Touradj Ebrahimi:
Learning-Based Image Compression using Convolutional Autoencoder and Wavelet Decomposition. CVPR Workshops 2019: 0 - [c11]Pinar Akyazi, Touradj Ebrahimi
:
An improved objective metric to predict image quality using deep neural networks. HVEI 2019 - [c10]Evgeniy Upenik
Inpainting in Omnidirectional Images for Privacy Protection. ICASSP 2019: 2487-2491 - [c9]Zhengxue Cheng, Pinar Akyazi, Heming Sun, Jiro Katto
Perceptual Quality Study on Deep Learning Based Image Compression. ICIP 2019: 719-723 - 2018
- [c8]Dion Eustathios Olivier Tzamarias, Pinar Akyazi, Pascal Frossard:
A Novel Method for Sampling Bandlimited Graph Signals. EUSIPCO 2018: 126-130 - [c7]Pinar Akyazi, Pascal Frossard:
Graph-Based Inpainting of Disocclusion Holes for Zooming in 3D Scenes. EUSIPCO 2018: 867-871 - [c6]Pinar Akyazi, Touradj Ebrahimi
Comparison of Compression Efficiency between HEVC/H.265, VP9 and AV1 based on Subjective Quality Assessments. QoMEX 2018: 1-6 - 2017
- [c5]Pinar Akyazi, Pascal Frossard:
Graph-based interpolation for zooming in 3D scenes. EUSIPCO 2017: 736-767 - 2011
- [j1]Daniel Povey, Lukás Burget
The subspace Gaussian mixture model - A structured model for speech recognition. Comput. Speech Lang. 25(2): 404-439 (2011) - 2010
- [c4]Arnab Ghoshal, Daniel Povey, Mohit Agarwal, Pinar Akyazi, Lukás Burget
A novel estimation of feature-space MLLR for full-covariance models. ICASSP 2010: 4310-4313 - [c3]Daniel Povey, Lukás Burget
Subspace Gaussian Mixture Models for speech recognition. ICASSP 2010: 4330-4333 - [c2]Lukás Burget
Multilingual acoustic modeling for speech recognition based on subspace Gaussian Mixture Models. ICASSP 2010: 4334-4337 - [c1]Nagendra Goel, Samuel Thomas, Mohit Agarwal, Pinar Akyazi, Lukás Burget
Approaches to automatic lexicon learning with limited training examples. ICASSP 2010: 5094-5097
Coauthor Index
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