Sanket Biswas

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Josep LladósComputer Vision Center, Universitat Autònoma de BarcelonaEmail yang diverifikasi di cvc.uab.es
Alicia FornesComputer Vision Center - UABEmail yang diverifikasi di cvc.uab.es
Mohamed Ali SouibguiComputer Vision Center, Universitat Autònoma de BarcelonaEmail yang diverifikasi di cvc.uab.es
Ayan BanerjeeComputer Vision Center, Universidad Autónoma de BarcelonaEmail yang diverifikasi di cvc.uab.es
Jordy Van LandeghemKU LeuvenEmail yang diverifikasi di instabase.com
Navoneel ChakrabartyEindhoven University of TechnologyEmail yang diverifikasi di tue.nl
Pau RibaComputer Vision CenterEmail yang diverifikasi di cvc.uab.cat
Dr. Subhas BarmanAssistant Professor of Computer Science and Engineering, Jalpaiguri Government Engineering CollegeEmail yang diverifikasi di cse.jgec.ac.in
Mickaël CoustatyUniversity of La RochelleEmail yang diverifikasi di univ-lr.fr
Matthew BlaschkoKU LeuvenEmail yang diverifikasi di esat.kuleuven.be
Yousri KessentiniDigital Research Center of Sfax (CRNS), TunisiaEmail yang diverifikasi di crns.rnrt.tn
Rubèn TitoAI Research Lead at DealeEmail yang diverifikasi di cvc.uab.es
Łukasz BorchmannSnowflakeEmail yang diverifikasi di snowflake.com
Tomasz StanisławekSnowflakeEmail yang diverifikasi di mini.pw.edu.pl
Michał PietruszkaJagiellonian University, SnowflakeEmail yang diverifikasi di doctoral.uj.edu.pl
Subhajit MaityDepartment of Computer Science, University of Central FloridaEmail yang diverifikasi di ucf.edu
Ernest ValvenyComputer Vision Center - Universitat Autònoma de BarcelonaEmail yang diverifikasi di cvc.uab.es
Alloy DasResearch Associate at Indian Statistical Institute KolkataEmail yang diverifikasi di isical.ac.in
Saumik BhattacharyaIIT Kharagpur, IndiaEmail yang diverifikasi di ece.iitkgp.ac.in
Pau TorrasUniversitat Autonoma de BarcelonaEmail yang diverifikasi di cvc.uab.cat

Ikuti

Sanket Biswas

Ph.D Candidate at Computer Vision Center, Universitat Autònoma de Barcelona

Email yang diverifikasi di cvc.uab.es - Beranda

Computer Vision Document Understanding Vision and Language Machine Learning Pattern Recognition


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
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	97	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	61	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	57*	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	51	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	43	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	37	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	31	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	16	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
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	6	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
A unified representation framework for the evaluation of Optical Music Recognition systems P Torras, S Biswas, A Fornés International Journal on Document Analysis and Recognition (IJDAR) 27 (3 …, 2024	5*	2024

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