| A statistical approach to predict flight delay using gradient boosted decision tree S Manna, S Biswas, R Kundu, S Rakshit, P Gupta, S Barman 2017 International conference on computational intelligence in data science …, 2017 | 100 | 2017 |
| DocEnTr: An end-to-end document image enhancement transformer MA Souibgui*, S Biswas*, SK Jemni, Y Kessentini, A Fornés, J Lladós, ... 2022 26th International Conference on Pattern Recognition (ICPR), 1699-1705, 2022 | 62 | 2022 |
| 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 | 58* | 2023 |
| Navo minority over-sampling technique (NMOTe): a consistent performance booster on imbalanced datasets N Chakrabarty, S Biswas Journal of Electronics 2 (02), 96-136, 2020 | 50 | 2020 |
| Beyond document object detection: instance-level segmentation of complex layouts S Biswas, P Riba, J Lladós, U Pal International Journal on Document Analysis and Recognition(IJDAR), 1-13, 2021 | 41 | 2021 |
| DocSegTr: an instance-level end-to-end document image segmentation transformer S Biswas, A Banerjee, J Lladós, U Pal arXiv preprint arXiv:2201.11438, 2022 | 36 | 2022 |
| A statistical approach to adult census income level prediction N Chakrabarty, S Biswas 2018 International Conference on Advances in Computing, Communication …, 2018 | 35 | 2018 |
| Prediction of diabetes type-II using a two-class neural network S Rakshit, S Manna, S Biswas, R Kundu, P Gupta, S Maitra, S Barman Computational Intelligence, Communications, and Business Analytics: First …, 2017 | 32 | 2017 |
| Doc2graph: a task agnostic document understanding framework based on graph neural networks A Gemelli, S Biswas, E Civitelli, J Lladós, S Marinai European Conference on Computer Vision, 329-344, 2022 | 29 | 2022 |
| Docsynth: a layout guided approach for controllable document image synthesis S Biswas, P Riba, J Lladós, U Pal International Conference on Document Analysis and Recognition, 555-568, 2021 | 27 | 2021 |
| Fault area detection in leaf diseases using k-means clustering S Maity, S Sarkar, A Vinaba Tapadar, A Dutta, S Biswas, S Nayek, P Saha 2018 2nd International conference on trends in electronics and informatics …, 2018 | 26 | 2018 |
| Text-DIAE: A Self-Supervised Degradation Invariant Autoencoder for Text Recognition and Document Enhancement MA Souibgui*, S Biswas*, A Mafla*, AF Biten*, A Fornés, Y Kessentini, ... Proceedings of the AAAI Conference on Artificial Intelligence 37 (2), 2330-2338, 2023 | 25 | 2023 |
| SwinDocSegmenter: An End-to-End Unified Domain Adaptive Transformer for Document Instance Segmentation A Banerjee*, S Biswas*, J Lladós, U Pal (*Equal Contribution) International Conference on Document Analysis and Recognition, 307-325, 2023 | 17 | 2023 |
| Complete statistical analysis to weather forecasting A Datta, S Si, S Biswas Computational Intelligence in Pattern Recognition: Proceedings of CIPR 2019 …, 2020 | 17 | 2020 |
| Harnessing the Power of Multi-Lingual Datasets for Pre-training: Towards Enhancing Text Spotting Performance A Das, S Biswas, A Banerjee, J Lladós, U Pal, S Bhattacharya Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 10 | 2024 |
| Strategic Markowitz portfolio optimization (SMPO): a portfolio return booster N Chakrabarty, S Biswas 2019 9th Annual Information Technology, Electromechanical Engineering and …, 2019 | 8 | 2019 |
| Diving into the depths of spotting text in multi-domain noisy scenes A Das, S Biswas, U Pal, J Lladós 2024 IEEE International Conference on Robotics and Automation (ICRA), 410-417, 2024 | 7 | 2024 |
| SelfDocSeg: A Self-Supervised vision-based Approach towards Document Segmentation S Maity*, S Biswas*, S Manna, A Banerjee, J Lladós, S Bhattacharya, ... International Conference on Document Analysis and Recognition, 342-360, 2023 | 6 | 2023 |
| Beyond Document Page Classification: Design, Datasets, and Challenges J Van Landeghem, S Biswas, M Blaschko, MF Moens Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 5 | 2024 |
| AI based fault detection on leaf and disease prediction using K-means clustering S Sarkar, S Biswas, A Tapadar, P Saha Int. Res. Eng. Technol, 2018 | 5 | 2018 |
Josep LladósComputer Vision Center, Universitat Autňnoma de BarcelonaVerified email at cvc.uab.es
