Going Full-TILT Boogie on Document Understanding with Text-Image-Layout Transformer R Powalski, Ł Borchmann, D Jurkiewicz, T Dwojak, M Pietruszka, G Pałka ICDAR 2021, 2021 | 153 | 2021 |
DUE: End-to-End Document Understanding Benchmark Ł Borchmann, M Pietruszka, T Stanislawek, D Jurkiewicz, M Turski, ... NeurIPS 2021, 2021 | 43 | 2021 |
Document understanding dataset and evaluation (DUDE) J Van Landeghem, R Tito, Ł Borchmann, M Pietruszka, P Joziak, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 19 | 2023 |
Stable: Table generation framework for encoder-decoder models M Pietruszka, M Turski, Ł Borchmann, T Dwojak, G Pałka, K Szyndler, ... EACL 2024, 2022 | 11 | 2022 |
Sparsifying Transformer Models with Trainable Representation Pooling M Pietruszka, Ł Borchmann, Ł Garncarek ACL 2022, 8616–8633, 2022 | 9* | 2022 |
From Dataset Recycling to Multi-Property Extraction and Beyond T Dwojak, M Pietruszka, Ł Borchmann, F Graliński, J Chłędowski CoNLL 2020, 641-651, 2020 | 7 | 2020 |
Successive Halving Top-k Operator M Pietruszka, Ł Borchmann, F Graliński AAAI 2021, 2020 | 7 | 2020 |
ICDAR 2023 Competition on Document UnderstanDing of Everything (DUDE) J Van Landeghem, R Tito, Ł Borchmann, M Pietruszka, D Jurkiewicz, ... International Conference on Document Analysis and Recognition, 420-434, 2023 | 5 | 2023 |
STable Permutation-based Framework for Table Generation in Sequence-to-Sequence Models M Pietruszka, M Turski, Ł Borchmann, T Dwojak, G Pałka, K Szyndler, ... ICML 2023 Workshop on Structured Probabilistic Inference {\&} Generative …, 2023 | | 2023 |