415 citations · 1.1k across the 56 of their papers we have counts for
13 papers · 1 filter
IEGAN: Multi-purpose Perceptual Quality Image Enhancement Using Generative Adversarial Network
Soumya Shubhra Ghosh, Yang Hua, Sankha Subhra Mukherjee +1
Despite the breakthroughs in quality of image enhancement, an end-to-end solution for simultaneous recovery of the finer texture details and sharpness for degraded images with low…
Texture Synthesis Guided Deep Hashing for Texture Image Retrieval
Ayan Kumar Bhunia, Perla Sai Raj Kishore, Pranay Mukherjee +2
With the large-scale explosion of images and videos over the internet, efficient hashing methods have been developed to facilitate memory and time efficient retrieval of similar im…
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…
Cogni-Net: Cognitive Feature Learning through Deep Visual Perception
Pranay Mukherjee, Abhirup Das, Ayan Kumar Bhunia +1
Can we ask computers to recognize what we see from brain signals alone? Our paper seeks to utilize the knowledge learnt in the visual domain by popular pre-trained vision models an…
User Constrained Thumbnail Generation using Adaptive Convolutions
Perla Sai Raj Kishore, Ayan Kumar Bhunia, Shuvozit Ghose +1
Thumbnails are widely used all over the world as a preview for digital images. In this work we propose a deep neural framework to generate thumbnails of any size and aspect ratio,…
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…
Cross-language Framework for Word Recognition and Spotting of Indic Scripts
Ayan Kumar Bhunia, Partha Pratim Roy, Akash Mohta +1
Handwritten word recognition and spotting of low-resource scripts are difficult as sufficient training data is not available and it is often expensive for collecting data of such s…
A Novel Feature Descriptor for Image Retrieval by Combining Modified Color Histogram and Diagonally Symmetric Co-occurrence Texture Pattern
Ayan Kumar Bhunia, Avirup Bhattacharyya, Prithaj Banerjee +2
In this paper, we have proposed a novel feature descriptors combining color and texture information collectively. In our proposed color descriptor component, the inter-channel rela…
Staff line Removal using Generative Adversarial Networks
Aishik Konwer, Ayan Kumar Bhunia, Abir Bhowmick +4
Staff line removal is a crucial pre-processing step in Optical Music Recognition. It is a challenging task to simultaneously reduce the noise and also retain the quality of music s…
Script Identification in Natural Scene Image and Video Frame using Attention based Convolutional-LSTM Network
Ankan Kumar Bhunia, Aishik Konwer, Ayan Kumar Bhunia +3
Script identification plays a significant role in analysing documents and videos. In this paper, we focus on the problem of script identification in scene text images and video scr…
Fractional Local Neighborhood Intensity Pattern for Image Retrieval using Genetic Algorithm
Shuvozit Ghose, Abhirup Das, Ayan Kumar Bhunia +1
In this paper, a new texture descriptor named "Fractional Local Neighborhood Intensity Pattern" (FLNIP) has been proposed for content based image retrieval (CBIR). It is an extensi…