158 citations · 1k across the 37 of their papers we have counts for
41 papers · 1 filter
Separate Scene Text Detector for Unseen Scripts is Not All You Need
Prateek Keserwani, Taveena Lotey, Rohit Keshari +1
Text detection in the wild is a well-known problem that becomes more challenging while handling multiple scripts. In the last decade, some scripts have gained the attention of the…
A Comprehensive Review of Sign Language Recognition: Different Types, Modalities, and Datasets
M. Madhiarasan, Partha Pratim Roy
A machine can understand human activities, and the meaning of signs can help overcome the communication barriers between the inaudible and ordinary people. Sign Language Recognitio…
Position and Rotation Invariant Sign Language Recognition from 3D Kinect Data with Recurrent Neural Networks
Prasun Roy, Saumik Bhattacharya, Partha Pratim Roy +1
Sign language is a gesture-based symbolic communication medium among speech and hearing impaired people. It also serves as a communication bridge between non-impaired and impaired…
UDBNET: Unsupervised Document Binarization Network via Adversarial Game
Amandeep Kumar, Shuvozit Ghose, Pinaki Nath Chowdhury +2
Degraded document image binarization is one of the most challenging tasks in the domain of document image analysis. In this paper, we present a novel approach towards document imag…
Modeling Extent-of-Texture Information for Ground Terrain Recognition
Shuvozit Ghose, Pinaki Nath Chowdhury, Partha Pratim Roy +1
Ground Terrain Recognition is a difficult task as the context information varies significantly over the regions of a ground terrain image. In this paper, we propose a novel approac…
Understanding Crowd Flow Movements Using Active-Langevin Model
Shreetam Behera, Debi Prosad Dogra, Malay Kumar Bandyopadhyay +1
Crowd flow describes the elementary group behavior of crowds. Understanding the dynamics behind these movements can help to identify various abnormalities in crowds. However, devel…
Estimation of Linear Motion in Dense Crowd Videos using Langevin Model
Shreetam Behera, Debi Prosad Dogra, Malay Kumar Bandyopadhyay +1
Crowd gatherings at social and cultural events are increasing in leaps and bounds with the increase in population. Surveillance through computer vision and expert decision making s…
Can We Automate Diagrammatic Reasoning?
Sk. Arif Ahmed, Debi Prosad Dogra, Samarjit Kar +2
Learning to solve diagrammatic reasoning (DR) can be a challenging but interesting problem to the computer vision research community. It is believed that next generation pattern re…
Facial Micro-Expression Spotting and Recognition using Time Contrasted Feature with Visual Memory
Sauradip Nag, Ayan Kumar Bhunia, Aishik Konwer +1
Facial micro-expressions are sudden involuntary minute muscle movements which reveal true emotions that people try to conceal. Spotting a micro-expression and recognizing it is a m…
Anomaly Detection in Road Traffic Using Visual Surveillance: A Survey
Santhosh Kelathodi Kumaran, Debi Prosad Dogra, Partha Pratim Roy
Computer vision has evolved in the last decade as a key technology for numerous applications replacing human supervision. In this paper, we present a survey on relevant visual surv…
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…