Viktor Kuropiatnyk

According to our database, Viktor Kuropiatnyk authored at least 4 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Advanced Layout Analysis Models for Docling.

Nikolaos Livathinos, Christoph Auer, Ahmed S. Nassar, Rafael Teixeira de Lima, Maksym Lysak, Brown Ebouky, Cesar Berrospi, Michele Dolfi, Panagiotis Vagenas, Matteo Omenetti, Kasper Dinkla, Yusik Kim, Valéry Weber, Lucas Morin, Ingmar Meijer, Viktor Kuropiatnyk, Tim Strohmeyer, A. Said Gurbuz, Peter W. J. Staar

CoRR, September, 2025

Docling: An Efficient Open-Source Toolkit for AI-driven Document Conversion.

Nikolaos Livathinos, Christoph Auer, Maksym Lysak, Ahmed Nassar, Michele Dolfi, Panos Vagenas, Cesar Berrospi Ramis, Matteo Omenetti, Kasper Dinkla, Yusik Kim, Shubham Gupta, Rafael Teixeira de Lima, Valéry Weber, Lucas Morin, Ingmar Meijer, Viktor Kuropiatnyk, Peter W. J. Staar

CoRR, January, 2025

2024

Docling Technical Report.

Christoph Auer, Maksym Lysak, Ahmed S. Nassar, Michele Dolfi, Nikolaos Livathinos, Panos Vagenas, Cesar Berrospi Ramis, Matteo Omenetti, Fabian Lindlbauer, Kasper Dinkla, Lokesh Mishra, Yusik Kim, Shubham Gupta, Rafael Teixeira de Lima, Valéry Weber, Lucas Morin, Ingmar Meijer, Viktor Kuropiatnyk, Peter W. J. Staar

CoRR, 2024

2021

Robust PDF Document Conversion using Recurrent Neural Networks.

Nikolaos Livathinos, Cesar Berrospi, Maksym Lysak, Viktor Kuropiatnyk, Ahmed S. Nassar, André Carvalho, Michele Dolfi, Christoph Auer, Kasper Dinkla, Peter W. J. Staar

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021