5 papers
Handwriting Transformers
Ankan Kumar Bhunia, Salman Khan, Hisham Cholakkal +3
We propose a novel transformer-based styled handwritten text image generation approach, HWT, that strives to learn both style-content entanglement as well as global and local writi…
Handwriting Recognition in Low-resource Scripts using Adversarial Learning
Ayan Kumar Bhunia, Abhirup Das, Ankan Kumar Bhunia +2
Handwritten Word Recognition and Spotting is a challenging field dealing with handwritten text possessing irregular and complex shapes. The design of deep neural network models mak…
A Deep One-Shot Network for Query-based Logo Retrieval
Ayan Kumar Bhunia, Ankan Kumar Bhunia, Shuvozit Ghose +3
Logo detection in real-world scene images is an important problem with applications in advertisement and marketing. Existing general-purpose object detection methods require large…
Improving Document Binarization via Adversarial Noise-Texture Augmentation
Ankan Kumar Bhunia, Ayan Kumar Bhunia, Aneeshan Sain +1
Binarization of degraded document images is an elementary step in most of the problems in document image analysis domain. The paper re-visits the binarization problem by introducin…
Indic Handwritten Script Identification using Offline-Online Multimodal Deep Network
Ayan Kumar Bhunia, Subham Mukherjee, Aneeshan Sain +3
In this paper, we propose a novel approach of word-level Indic script identification using only character-level data in training stage. The advantages of using character level data…