aniketdas

aniketdas

Visual Re-ranking with Natural Language Understanding for Text Spotting. ACCV18

Code implementation for our DAS, 2020 paper titled "Fused Text Recogniser and Deep Embeddings Improve Word Recognition and Retrieval"

Codebase for training various HTR models

aniketPhdThesis

Code implementation for our ICPR, 2020 paper titled "Improving Word Recognition using Multiple Hypotheses and Deep Embeddings"

Implementation of the paper "MetaHTR: Towards Writer-Adaptive Handwritten Text Recognition" by Bhunia et al. (2021).

Implementation of the paper "Full Page Handwriting Recognition via Image to Sequence Extraction" by Singh et al. (2021).

Basic HTR concepts/modules to boost performance

Code for my master thesis

Multimodal Semi-Supervised Learning for Text Recognition (SemiMTR)

Attention-based sequence-to-sequence model for handwritten word recognition

Deformation-invariant line-level Handwritten Text Recognition (HTR) using a convolutional-only architecture.

Pytorch implementation of HTR on IAM dataset (word or line level + CTC loss)

handwriting recognition example using a seq2seq architecture

Create handwritten word embeddings from a text recognition Seq2Seq system.

Semantic Relatedness Based Re-ranker for Text Spotting. EMNLP 2019

Imitating someone's handwriting by converting it to the temporal domain and back again

On-the-fly Deformations for Keyword Spotting in Documents