activity
20162024
most citedSigNet: Convolutional Siamese Network for Writer Independent Offline Signature Verification

179 citations · 958 across the 53 of their papers we have counts for

collaborators

66 papers

cs.CV2024★ 8 cited

MDIW-13: a New Multi-Lingual and Multi-Script Database and Benchmark for Script Identification

Miguel A. Ferrer, Abhijit Das, Moises Diaz +3

Script identification plays a vital role in applications that involve handwriting and document analysis within a multi-script and multi-lingual environment. Moreover, it exhibits a…

cs.CV2024★ 30 cited

Static and Dynamic Synthesis of Bengali and Devanagari Signatures

Miguel A. Ferrer, Sukalpa Chanda, Moises Diaz +5

Developing an automatic signature verification system is challenging and demands a large number of training samples. This is why synthetic handwriting generation is an emerging top…

cs.CV2023★ 3 cited

FASTER: A Font-Agnostic Scene Text Editing and Rendering Framework

Alloy Das, Sanket Biswas, Prasun Roy +5

Scene Text Editing (STE) is a challenging research problem, that primarily aims towards modifying existing texts in an image while preserving the background and the font style of t…

cs.LG2023★ 1 cited

Dynamically Scaled Temperature in Self-Supervised Contrastive Learning

Siladittya Manna, Soumitri Chattopadhyay, Rakesh Dey +2

In contemporary self-supervised contrastive algorithms like SimCLR, MoCo, etc., the task of balancing attraction between two semantically similar samples and repulsion between two…

cs.CV2023★ 22 cited

SwinDocSegmenter: An End-to-End Unified Domain Adaptive Transformer for Document Instance Segmentation

Ayan Banerjee, Sanket Biswas, Josep Lladós +1

Instance-level segmentation of documents consists in assigning a class-aware and instance-aware label to each pixel of the image. It is a key step in document parsing for their und…

cs.CV2023

Scene Text Recognition with Image-Text Matching-guided Dictionary

Jiajun Wei, Hongjian Zhan, Xiao Tu +2

Employing a dictionary can efficiently rectify the deviation between the visual prediction and the ground truth in scene text recognition methods. However, the independence of the…