| PubTables-1M: Towards comprehensive table extraction from unstructured documents B Smock, R Pesala, R Abraham Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 83 | 2022 |
| GriTS: Grid table similarity metric for table structure recognition B Smock, R Pesala, R Abraham International Conference on Document Analysis and Recognition, 535-549, 2023 | 12 | 2023 |
| Aligning benchmark datasets for table structure recognition B Smock, R Pesala, R Abraham International Conference on Document Analysis and Recognition, 371-386, 2023 | 5 | 2023 |
| Discovering distribution shifts using latent space representations L Betthauser, U Chajewska, M Diesendruck, R Pesala arXiv preprint arXiv:2202.02339, 2022 | 4 | 2022 |
| PubTables-1M: Towards a universal dataset and metrics for training and evaluating table extraction models B Smock, R Pesala, R Abraham CoRR, 2021 | 3 | 2021 |
| Content-based multimedia retrieval with attention-enabled local focus R Abraham, N Rohani, RV Pesala, JB SMOCK, NL Delgado US Patent App. 17/332,673, 2022 | 1 | 2022 |
| Explanation of emergent semantics in embedding spaces via analogy M Diesendruck, LM Betthauser, US Chajewska, RV Pesala, R Abraham US Patent App. 18/087,470, 2024 | | 2024 |
| Discovering distribution shifts in embeddings LM Betthauser, US Chajewska, M Diesendruck, RV Pesala US Patent App. 17/556,642, 2023 | | 2023 |
| Intelligent machine-learning model catalog LM Betthauser, US Chajewska, M Diesendruck, HHLR Pan, RV Pesala US Patent App. 17/556,648, 2023 | | 2023 |
| Inferring Structure Information from Table Images JB SMOCK, PK Sharma, NL DELGADO, RV Pesala, R Abraham US Patent App. 17/353,563, 2022 | | 2022 |
| A data-centric approach to table structure recognition B Smock, R Pesala, R Abraham, WA Redmond | | |
| Towards a universal dataset and metrics for training and evaluating table extraction models B Smock, R Pesala, R Abraham | | |
