Ventriloquist-Net: Leveraging Speech Cues for Emotive Talking Head Generation (bibtex)

by D Das, Q Khan and D Cremers

Reference:

Ventriloquist-Net: Leveraging Speech Cues for Emotive Talking Head Generation (D Das, Q Khan and D Cremers), In IEEE International Conference on Image Processing, 2022.

Bibtex Entry:

@inproceedings{ventriloquist_2022,
 title = {Ventriloquist-Net: Leveraging Speech Cues for Emotive Talking Head Generation},
 author = {D Das and Q Khan and D Cremers},
 booktitle = {IEEE International Conference on Image Processing},
 keywords = {deep learning},
 year = {2022},
}

by D Das, Q Khan and D Cremers

Reference:

Ventriloquist-Net: Leveraging Speech Cues for Emotive Talking Head Generation (D Das, Q Khan and D Cremers), In IEEE International Conference on Image Processing, 2022.

Bibtex Entry:

@inproceedings{ventriloquist_2022,
 title = {Ventriloquist-Net: Leveraging Speech Cues for Emotive Talking Head Generation},
 author = {D Das and Q Khan and D Cremers},
 booktitle = {IEEE International Conference on Image Processing},
 keywords = {deep learning},
 year = {2022},
}

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Qadeer Khan

PhD StudentTechnical University of Munich

School of Computation, Information and Technology
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SS20: Practical course Learning For Self-Driving Cars and Intelligent Systems with News.
WS19/20: Practical course Learning For Self-Driving Cars and Intelligent Systems with Yuesong Shen and News.
SS19: Practical course Hands-on Deep Learning for Computer Vision and Biomedicine with Dr. Vladimir Golkov and News.

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In case you are interested in doing an IDP, Guided Research, Bachelor/Master thesis, in the areas of Graphical neural networks, active learning, vehicle control feel free to send your application including resume and transcripts and a short description of the area of interest.

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Optimal Brain Damage: Model Pruning for faster inference
Deep Active learning on Graphical networks for semantic segmentation.
Unsupervised multi-view image synthesis.

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Self-Supervised Vehicle Control on Sparse 3D point clouds [Bachelor Thesis, Florian Müller]
IMU based pose estimation using deep neural networks [IDP, Nicholas Gao]

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Qadeer Khan

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