Jordy Van Landeghem

16 papers A* 2A 1Journal 9Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Strategic Navigation or Stochastic Search? How Agents and Humans Reason Over Document Collections.
CoRR
Lukasz Borchmann, Jordy Van Landeghem, Michal Turski, Shreyansh Padarha, Ryan Othniel Kearns, Adam Mahdi, Niels Rogge, Clémentine Fourrier, Siwei Han, Huaxiu Yao, Artemis Llabrés, Yiming Xu, Dimosthenis Karatzas, Hao Zhang, Anupam Datta
2025 A* conf
A Novel Characterization of the Population Area Under the Risk Coverage Curve (AURC) and Rates of Finite Sample Estimators.
ICML
Han Zhou, Jordy Van Landeghem, Teodora Popordanoska, Matthew B. Blaschko
2025 — conf
Where Layout Meets Language: Lightweight Spatial Enhancement to Large Language Models for Document Understanding.
ICDAR (4)
Nil Biescas, Sanket Biswas, Josep Lladós, Jordy Van Landeghem
2024 J jnl
A Novel Characterization of the Population Area Under the Risk Coverage Curve (AURC) and Rates of Finite Sample Estimators.
CoRR
Han Zhou, Jordy Van Landeghem, Teodora Popordanoska, Matthew B. Blaschko
2024 A conf
Beyond Document Page Classification: Design, Datasets, and Challenges.
WACV
Jordy Van Landeghem, Sanket Biswas, Matthew B. Blaschko, Marie-Francine Moens
2024 — conf
DistilDoc: Knowledge Distillation for Visually-Rich Document Applications.
ICDAR (4)
Jordy Van Landeghem, Subhajit Maity, Ayan Banerjee, Matthew B. Blaschko, Marie-Francine Moens, Josep Lladós, Sanket Biswas
2024 J jnl
DistilDoc: Knowledge Distillation for Visually-Rich Document Applications.
CoRR
Jordy Van Landeghem, Subhajit Maity, Ayan Banerjee, Matthew B. Blaschko, Marie-Francine Moens, Josep Lladós, Sanket Biswas
2024 — conf
Multimodal Adaptive Inference for Document Image Classification with Anytime Early Exiting.
ICDAR (4)
Omar Hamed, Souhail Bakkali, Matthew B. Blaschko, Sien Moens, Jordy Van Landeghem
2024 J jnl
Multimodal Adaptive Inference for Document Image Classification with Anytime Early Exiting.
CoRR
Omar Hamed, Souhail Bakkali, Marie-Francine Moens, Matthew B. Blaschko, Jordy Van Landeghem
2023 J jnl
Beyond Document Page Classification: Design, Datasets, and Challenges.
CoRR
Jordy Van Landeghem, Sanket Biswas, Matthew B. Blaschko, Marie-Francine Moens
2023 A* conf
Document Understanding Dataset and Evaluation (DUDE).
ICCV
Jordy Van Landeghem, Rafal Powalski, Rubèn Tito, Dawid Jurkiewicz, Matthew B. Blaschko, Lukasz Borchmann, Mickaël Coustaty, Sien Moens, Michal Pietruszka, Bertrand Anckaert, Tomasz Stanislawek, Pawel Józiak, Ernest Valveny
2023 J jnl
Document Understanding Dataset and Evaluation (DUDE).
CoRR
Jordy Van Landeghem, Rubèn Tito, Lukasz Borchmann, Michal Pietruszka, Pawel Józiak, Rafal Powalski, Dawid Jurkiewicz, Mickaël Coustaty, Bertrand Anckaert, Ernest Valveny, Matthew B. Blaschko, Sien Moens, Tomasz Stanislawek
2023 — conf
ICDAR 2023 Competition on Document UnderstanDing of Everything (DUDE).
ICDAR (2)
Jordy Van Landeghem, Rubèn Tito, Lukasz Borchmann, Michal Pietruszka, Dawid Jurkiewicz, Rafal Powalski, Pawel Józiak, Sanket Biswas, Mickaël Coustaty, Tomasz Stanislawek
2022 J jnl
Benchmarking Scalable Predictive Uncertainty in Text Classification.
IEEE Access
Jordy Van Landeghem, Matthew B. Blaschko, Bertrand Anckaert, Marie-Francine Moens
2022 J jnl
Optimizing ship detection efficiency in SAR images.
CoRR
Arthur Van Meerbeeck, Jordy Van Landeghem, Ruben Cartuyvels, Marie-Francine Moens
2019 J jnl
Transfer Learning for Named Entity Recognition in Financial and Biomedical Documents.
Inf.
Sumam Francis, Jordy Van Landeghem, Marie-Francine Moens