research
∙
09/11/2023
Long-Range Transformer Architectures for Document Understanding
Since their release, Transformers have revolutionized many fields from N...
share
research
∙
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...
research
∙
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...
research
∙
11/24/2019
Facial Landmark Correlation Analysis
We present a facial landmark position correlation analysis as well as it...
research
∙
11/24/2019
2D Wasserstein Loss for Robust Facial Landmark Detection
Facial landmark detection is an important preprocessing task for most ap...
research
∙
07/08/2019
Routine Modeling with Time Series Metric Learning
Traditionally, the automatic recognition of human activities is performe...
research
∙
12/27/2016