Peter W. J. Staar
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
24
Venues
14
Active years
2013–2026
Best venue rank
A*
Where they publish
Papers
24 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ICDAR | Identify, Locate, Link: End-to-End Key-Value Extraction from Document Images. | A. Said Gurbuz, Ahmed S. Nassar, Christoph Auer, Maksym Lysak, Lucas Morin, Matteo Omenetti, Tim Strohmeyer, Panagiotis Vagenas, Nikolaos Livathinos, Michele Dolfi, Peter W. J. Staar |
| 2025 | COLING | Know Your RAG: Dataset Taxonomy and Generation Strategies for Evaluating RAG Systems. | Rafael Teixeira de Lima, Shubham Gupta, Cesar Berrospi Ramis, Lokesh Mishra, Michele Dolfi, Peter W. J. Staar, Panagiotis Vagenas |
| 2025 | CVPR | MarkushGrapher: Joint Visual and Textual Recognition of Markush Structures. | Lucas Morin, Valry Weber, Ahmed Nassar, Gerhard Ingmar Meijer, Luc Van Gool, Yawei Li, Peter W. J. Staar |
| 2025 | ICCV | SmolDocling: An Ultra-Compact Vision-Language Model for End-To-End Multi-Modal Document Conversion. | Ahmed S. Nassar, Matteo Omenetti, Maksym Lysak, Nikolaos Livathinos, Christoph Auer, Lucas Morin, Rafael Teixeira de Lima, Yusik Kim, A. Said Gurbuz, Michele Dolfi, Peter W. J. Staar |
| 2024 | AAAI | ESG Accountability Made Easy: DocQA at Your Service. | Lokesh Mishra, Cesar Berrospi, Kasper Dinkla, Diego Antognini, Francesco Fusco, Benedikt Bothur, Maksym Lysak, Nikolaos Livathinos, Ahmed S. Nassar, Panagiotis Vagenas, Lucas Morin, Christoph Auer, Michele Dolfi, Peter W. J. Staar |
| 2024 | AISTATS | Clustering Items From Adaptively Collected Inconsistent Feedback. | Shubham Gupta, Peter W. J. Staar, Christian de Sainte Marie |
| 2024 | EMNLP | INDUS: Effective and Efficient Language Models for Scientific Applications. | Bishwaranjan Bhattacharjee, Aashka Trivedi, Masayasu Muraoka, Muthukumaran Ramasubramanian, Takuma Udagawa, Iksha Gurung, Nishan Pantha, Rong Zhang, Bharath Dandala, Rahul Ramachandran, Manil Maskey, Kaylin M. Bugbee, Michael Little, Elizabeth Fancher, Irina Gerasimov, Armin Mehrabian, Lauren M. Sanders, Sylvain Costes, Sergi Blanco-Cuaresma, Kelly E. Lockhart, Thomas Allen, Flix Grzes, Megan Ansdell, Alberto Accomazzi, Yousef El-Kurdi, Davis Wertheimer, Birgit Pfitzmann, Cesar Berrospi Ramis, Michele Dolfi, Rafael Teixeira de Lima, Panagiotis Vagenas, S. Karthik Mukkavilli, Peter W. J. Staar, Sanaz Vahidinia, Ryan McGranaghan, Tsengdar J. Lee |
| 2024 | ICDAR | KVP10k : A Comprehensive Dataset for Key-Value Pair Extraction in Business Documents. | Oshri Naparstek, Ophir Azulai, Inbar Shapira, Elad Amrani, Yevgeny Yaroker, Yevgeny Burshtein, Roi Pony, Nadav Rubinstein, Foad Abo Dahood, Orit Prince, Idan Friedman, Christoph Auer, Nikolaos Livathinos, Maksym Lysak, Ahmed Nassar, Peter W. J. Staar, Udi Barzelay |
| 2023 | ACL | pNLP-Mixer: an Efficient all-MLP Architecture for Language. | Francesco Fusco, Damian Pascual, Peter W. J. Staar, Diego Antognini |
| 2023 | ICCV | MolGrapher: Graph-based Visual Recognition of Chemical Structures. | Lucas Morin, Martin Danelljan, Maria Isabel Agea, Ahmed S. Nassar, Valry Weber, Ingmar Meijer, Peter W. J. Staar, Fisher Yu |
| 2023 | ICDAR | ICDAR 2023 Competition on Robust Layout Segmentation in Corporate Documents. | Christoph Auer, Ahmed S. Nassar, Maksym Lysak, Michele Dolfi, Nikolaos Livathinos, Peter W. J. Staar |
| 2023 | ICDAR | Optimized Table Tokenization for Table Structure Recognition. | Maksym Lysak, Ahmed S. Nassar, Nikolaos Livathinos, Christoph Auer, Peter W. J. Staar |
| 2022 | CVPR | Unsupervised Domain Generalization by Learning a Bridge Across Domains. | Sivan Harary, Eli Schwartz, Assaf Arbelle, Peter W. J. Staar, Shady Abu-Hussein, Elad Amrani, Roei Herzig, Amit Alfassy, Raja Giryes, Hilde Kuehne, Dina Katabi, Kate Saenko, Rogrio Feris, Leonid Karlinsky |
| 2022 | CVPR | TableFormer: Table Structure Understanding with Transformers. | Ahmed S. Nassar, Nikolaos Livathinos, Maksym Lysak, Peter W. J. Staar |
| 2022 | EMNLP | Unsupervised Term Extraction for Highly Technical Domains. | Francesco Fusco, Peter W. J. Staar, Diego Antognini |
| 2022 | KDD | DocLayNet: A Large Human-Annotated Dataset for Document-Layout Segmentation. | Birgit Pfitzmann, Christoph Auer, Michele Dolfi, Ahmed S. Nassar, Peter W. J. Staar |
| 2021 | AAAI | Robust PDF Document Conversion using Recurrent Neural Networks. | Nikolaos Livathinos, Cesar Berrospi, Maksym Lysak, Viktor Kuropiatnyk, Ahmed S. Nassar, Andr Carvalho, Michele Dolfi, Christoph Auer, Kasper Dinkla, Peter W. J. Staar |
| 2021 | AMIA | Racial Representation Analysis in Dermatology Academic Materials. | Girmaw Abebe Tadesse, Celia Cintas, Roxana Daneshjou, Kush R. Varshney, Peter W. J. Staar, Skyler Speakman, Kenya S. Andrews, Chinyere Agunwa, Justin Jia, Elizabeth E. Bailey, Jules Lipoff, Ginikanwa Onyekaba, Veronica Rotemberg, Ademide Adelekun, James Y. Zou |
| 2018 | KDD | Corpus Conversion Service: A Machine Learning Platform to Ingest Documents at Scale. | Peter W. J. Staar, Michele Dolfi, Christoph Auer, Costas Bekas |
| 2017 | PPAM | Exploring Graph Analytics with the PCJ Toolbox. | Roxana Istrate, Panagiotis Kl. Barkoutsos, Michele Dolfi, Peter W. J. Staar, Costas Bekas |
| 2016 | FPL | Energy-efficient stochastic matrix function estimator for graph analytics on FPGA. | Heiner Giefers, Peter W. J. Staar, Raphael Polig |
| 2016 | ISPASS | Analyzing the energy-efficiency of sparse matrix multiplication on heterogeneous systems: A comparative study of GPU, Xeon Phi and FPGA. | Heiner Giefers, Peter W. J. Staar, Costas Bekas, Christoph Hagleitner |
| 2015 | SC | An extreme-scale implicit solver for complex PDEs: highly heterogeneous flow in earth's mantle. | Johann Rudi, A. Cristiano I. Malossi, Tobin Isaac, Georg Stadler, Michael Gurnis, Peter W. J. Staar, Yves Ineichen, Costas Bekas, Alessandro Curioni, Omar Ghattas |
| 2013 | SC | Taking a quantum leap in time to solution for simulations of high-Tc superconductors. | Peter W. J. Staar, Thomas A. Maier, Michael S. Summers, Gilles Fourestey, Raffaele Solc, Thomas C. Schulthess |