George Trigeorgis

According to our database1, George Trigeorgis authored at least 21 papers between 2014 and 2019.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2019
Joint Multi-View Face Alignment in the Wild.
IEEE Trans. Image Process., 2019

2018
Deep Canonical Time Warping for Simultaneous Alignment and Representation Learning of Sequences.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

DenseReg: Fully Convolutional Dense Shape Regression In-the-Wild.
CoRR, 2018

Deep and Deformable: Convolutional Mixtures of Deformable Part-Based Models.
Proceedings of the 13th IEEE International Conference on Automatic Face & Gesture Recognition, 2018

2017
Deep component analysis: algorithms and applications.
PhD thesis, 2017

A Deep Matrix Factorization Method for Learning Attribute Representations.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

End-to-End Multimodal Emotion Recognition Using Deep Neural Networks.
IEEE J. Sel. Top. Signal Process., 2017


The 3D Menpo Facial Landmark Tracking Challenge.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

The Menpo Facial Landmark Localisation Challenge: A Step Towards the Solution.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Face Normals "In-the-Wild" Using Fully Convolutional Networks.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

DenseReg: Fully Convolutional Dense Shape Regression In-the-Wild.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

3D Face Morphable Models "In-the-Wild".
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Domain Separation Networks.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Adaptive cascaded regression.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Mnemonic Descent Method: A Recurrent Process Applied for End-to-End Face Alignment.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Deep Canonical Time Warping.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
The ICL-TUM-PASSAU Approach for the MediaEval 2015 "Affective Impact of Movies" Task.
Proceedings of the Working Notes Proceedings of the MediaEval 2015 Workshop, 2015

Automatically Estimating Emotion in Music with Deep Long-Short Term Memory Recurrent Neural Networks.
Proceedings of the Working Notes Proceedings of the MediaEval 2015 Workshop, 2015

2014
A Deep Semi-NMF Model for Learning Hidden Representations.
Proceedings of the 31th International Conference on Machine Learning, 2014


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