50 citations · 62 across the 4 of their papers we have counts for
4 papers
Long-Range Transformer Architectures for Document Understanding
Thibault Douzon, Stefan Duffner, Christophe Garcia +1
Since their release, Transformers have revolutionized many fields from Natural Language Understanding to Computer Vision. Document Understanding (DU) was not left behind with first…
Improving Information Extraction on Business Documents with Specific Pre-Training Tasks
Thibault Douzon, Stefan Duffner, Christophe Garcia +1
Transformer-based Language Models are widely used in Natural Language Processing related tasks. Thanks to their pre-training, they have been successfully adapted to Information Ext…
Low-complexity Approximate Convolutional Neural Networks
R. J. Cintra, S. Duffner, C. Garcia +1
In this paper, we present an approach for minimizing the computational complexity of trained Convolutional Neural Networks (ConvNet). The idea is to approximate all elements of a g…
End-to-End Data Visualization by Metric Learning and Coordinate Transformation
Lilei Zheng, Ying Zhang, Stefan Duffner +3
This paper presents a deep nonlinear metric learning framework for data visualization on an image dataset. We propose the Triangular Similarity and prove its equivalence to the Cos…