no code implementations • 18 Oct 2023 • Subinay Adhikary, Sagnik Das, Sagnik Saha, Procheta Sen, Dwaipayan Roy, Kripabandhu Ghosh
The escalating number of pending cases is a growing concern world-wide.
no code implementations • 29 Sep 2021 • Sagnik Das, Ke Ma, Zhixin Shu, Dimitris Samaras
We also demonstrate the usefulness of our system by applying it to document texture editing.
no code implementations • ICCV 2021 • Sagnik Das, Kunwar Yashraj Singh, Jon Wu, Erhan Bas, Vijay Mahadevan, Rahul Bhotika, Dimitris Samaras
Document unwarping attempts to undo the physical deformation of the paper and recover a 'flatbed' scanned document-image for downstream tasks such as OCR.
1 code implementation • 29 Nov 2020 • Sagnik Das, Hassan Ahmed Sial, Ke Ma, Ramon Baldrich, Maria Vanrell, Dimitris Samaras
However, document shadow or shading removal results still suffer because: (a) prior methods rely on uniformity of local color statistics, which limit their application on real-scenarios with complex document shapes and textures and; (b) synthetic or hybrid datasets with non-realistic, simulated lighting conditions are used to train the models.
1 code implementation • ICCV 2019 • Sagnik Das, Ke Ma, Zhixin Shu, Dimitris Samaras, Roy Shilkrot
In this work, we propose DewarpNet, a deep-learning approach for document image unwarping from a single image.
Ranked #1 on MS-SSIM on DocUNet (using extra training data)