158 citations · 1k across the 37 of their papers we have counts for
21 papers · 2 filters
Video Trajectory Classification and Anomaly Detection Using Hybrid CNN-VAE
Santhosh Kelathodi Kumaran, Debi Prosad Dogra, Partha Pratim Roy +1
Classifying time series data using neural networks is a challenging problem when the length of the data varies. Video object trajectories, which are key to many of the visual surve…
Perceptual Conditional Generative Adversarial Networks for End-to-End Image Colourization
Shirsendu Sukanta Halder, Kanjar De, Partha Pratim Roy
Colours are everywhere. They embody a significant part of human visual perception. In this paper, we explore the paradigm of hallucinating colours from a given gray-scale image. Th…
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…
Fingertip Detection and Tracking for Recognition of Air-Writing in Videos
Sohom Mukherjee, Arif Ahmed, Debi Prosad Dogra +2
Air-writing is the process of writing characters or words in free space using finger or hand movements without the aid of any hand-held device. In this work, we address the problem…
Bag-of-Visual-Words for Signature-Based Multi-Script Document Retrieval
Ranju Mandal, Partha Pratim Roy, Umapada Pal +1
An end-to-end architecture for multi-script document retrieval using handwritten signatures is proposed in this paper. The user supplies a query signature sample and the system exc…
Temporal Unknown Incremental Clustering (TUIC) Model for Analysis of Traffic Surveillance Videos
Santhosh Kelathodi Kumaran, Debi Prosad Dogra, Partha Pratim Roy
Optimized scene representation is an important characteristic of a framework for detecting abnormalities on live videos. One of the challenges for detecting abnormalities in live v…
Synthetic data generation for Indic handwritten text recognition
Partha Pratim Roy, Akash Mohta, Bidyut B. Chaudhuri
This paper presents a novel approach to generate synthetic dataset for handwritten word recognition systems. It is difficult to recognize handwritten scripts for which sufficient t…
Queuing Theory Guided Intelligent Traffic Scheduling through Video Analysis using Dirichlet Process Mixture Model
Santhosh Kelathodi Kumaran, Debi Prosad Dogra, Partha Pratim Roy
Accurate prediction of traffic signal duration for roadway junction is a challenging problem due to the dynamic nature of traffic flows. Though supervised learning can be used, par…
Trajectory-based Scene Understanding using Dirichlet Process Mixture Model
Santhosh Kelathodi Kumaran, Debi Prosad Dogra, Partha Pratim Roy +1
Appropriate modeling of a surveillance scene is essential for detection of anomalies in road traffic. Learning usual paths can provide valuable insight into road traffic conditions…
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…