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09/11/2023
Long-Range Transformer Architectures for Document Understanding
Since their release, Transformers have revolutionized many fields from N...
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09/11/2023
Improving Information Extraction on Business Documents with Specific Pre-Training Tasks
Transformer-based Language Models are widely used in Natural Language Pr...
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07/20/2020
Learning Sparse Filters in Deep Convolutional Neural Networks with a l1/l2 Pseudo-Norm
While deep neural networks (DNNs) have proven to be efficient for numero...
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11/24/2019
Facial Landmark Correlation Analysis
We present a facial landmark position correlation analysis as well as it...
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11/24/2019
2D Wasserstein Loss for Robust Facial Landmark Detection
Facial landmark detection is an important preprocessing task for most ap...
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07/08/2019
Routine Modeling with Time Series Metric Learning
Traditionally, the automatic recognition of human activities is performe...
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12/27/2016
End-to-End Data Visualization by Metric Learning and Coordinate Transformation
This paper presents a deep nonlinear metric learning framework for data ...
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11/30/2013