Search Results for author: Anil Bas

Found 6 papers, 4 papers with code

Exploring Transformers in Natural Language Generation: GPT, BERT, and XLNet

1 code implementation16 Feb 2021 M. Onat Topal, Anil Bas, Imke van Heerden

Recent years have seen a proliferation of attention mechanisms and the rise of Transformers in Natural Language Generation (NLG).

Text Generation

Statistical transformer networks: learning shape and appearance models via self supervision

no code implementations7 Apr 2018 Anil Bas, William A. P. Smith

In this configuration, our model learns an active appearance model and a means to fit the model from scratch with no supervision at all, even identity labels.

3D Morphable Models as Spatial Transformer Networks

1 code implementation23 Aug 2017 Anil Bas, Patrik Huber, William A. P. Smith, Muhammad Awais, Josef Kittler

In this paper, we show how a 3D Morphable Model (i. e. a statistical model of the 3D shape of a class of objects such as faces) can be used to spatially transform input data as a module (a 3DMM-STN) within a convolutional neural network.

What does 2D geometric information really tell us about 3D face shape?

1 code implementation22 Aug 2017 Anil Bas, William A. P. Smith

We show that this is not the case and that geometric information is an ambiguous cue.

3D Reconstruction

Fitting a 3D Morphable Model to Edges: A Comparison Between Hard and Soft Correspondences

1 code implementation2 Feb 2016 Anil Bas, William A. P. Smith, Timo Bolkart, Stefanie Wuhrer

We propose a fully automatic method for fitting a 3D morphable model to single face images in arbitrary pose and lighting.

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