Axel De Nardin
Postdoctoral Researcher, University of Udine
Axel De Nardin received his M.Sc., Summa Cum Laude, and Ph.D. degrees in Computer Science in 2020 and 2024 respectively. He currently is a Post-doctoral researcher at the Artificial Vision and Machine Learning (AVML) lab of the University of Udine. His main research interests include semantic segmentation, anomaly detection and pattern recognition, with a particular focus on low data settings. Since 2021 he published several papers in international venues, touching a wide range of application fields, such as industrial quality inspection, medical imaging and cultural heritage.
Since 2022, Axel is a member of the Artificial Intelligence for Cultural Heritage (AI4CH) research group which fosters an interdisciplinary collaboration between humanities and computer science experts to develop novel techniques that leverage the use of AI systems for the analysis and preservation of the cultural heritage. In this context he is particularly involved in the exploration of computer vision techniques techniques for the analysis and understanding of ancient manuscripts.
Workshop
Document Analysis and Understanding in the Era of Deep Learning
Written communication has always been a key aspect of human civilization since ancient history. The ability to understand written information through vision in an automated way sparked the interest of computer scientists for a long time, making it one of the oldest fields in computer vision. Stemming from this interest a wide variety of tasks have been identified in this field going from document analysis to text understanding in the wild.
This lecture aims at providing an overview of the recent advancements in the field of Document Analysis and Understanding, introducing the opportunities opened up by the employment of recent Deep Learning technologies as well as the challenges that still
characterize this research area despites our best efforts.
The lecture will be organized in two sections, a theoretical one which aims at providing a better understanding of the key aspects of document analysis and understanding. And a hands-on practical session which will provide an opportunity to implement a simple
document analysis framework.
