1.9k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- S.N. Bose National Centre for Basic SciencesIN60 papers
- Saha Institute of Nuclear PhysicsIN55 papers
- Indian Statistical Institute, Bangalore CentreIN51 papers
- Jadavpur UniversityIN41 papers
- University of CalcuttaIN39 papers
- Indian Institute of Science BangaloreIN35 papers
- Institute of Mathematical SciencesIN34 papers
- Indian Institute of Technology MadrasIN28 papers
- Bose InstituteIN27 papers
- Centre National de la Recherche ScientifiqueFR26 papers
- Indian Statistical Institute, Delhi CentreIN20 papers
- Tata Institute of Fundamental ResearchIN20 papers
56 papers · 1 filter
Adaptive Class Learning to Screen Diabetic Disorders in Fundus Images of Eye
Shramana Dey, Pallabi Dutta, Riddhasree Bhattacharyya +3
The prevalence of ocular illnesses is growing globally, presenting a substantial public health challenge. Early detection and timely intervention are crucial for averting visual im…
MDIW-13: a New Multi-Lingual and Multi-Script Database and Benchmark for Script Identification
Miguel A. Ferrer, Abhijit Das, Moises Diaz +3
Script identification plays a vital role in applications that involve handwriting and document analysis within a multi-script and multi-lingual environment. Moreover, it exhibits a…
Static and Dynamic Synthesis of Bengali and Devanagari Signatures
Miguel A. Ferrer, Sukalpa Chanda, Moises Diaz +5
Developing an automatic signature verification system is challenging and demands a large number of training samples. This is why synthetic handwriting generation is an emerging top…
SwinDocSegmenter: An End-to-End Unified Domain Adaptive Transformer for Document Instance Segmentation
Ayan Banerjee, Sanket Biswas, Josep Lladós +1
Instance-level segmentation of documents consists in assigning a class-aware and instance-aware label to each pixel of the image. It is a key step in document parsing for their und…
SelfDocSeg: A Self-Supervised vision-based Approach towards Document Segmentation
Subhajit Maity, Sanket Biswas, Siladittya Manna +4
Document layout analysis is a known problem to the documents research community and has been vastly explored yielding a multitude of solutions ranging from text mining, and recogni…
UnShadowNet: Illumination Critic Guided Contrastive Learning For Shadow Removal
Subhrajyoti Dasgupta, Arindam Das, Senthil Yogamani +4
Shadows are frequently encountered natural phenomena that significantly hinder the performance of computer vision perception systems in practical settings, e.g., autonomous driving…
Deep Neural Networks for Automatic Grain-matrix Segmentation in Plane and Cross-polarized Sandstone Photomicrographs
Rajdeep Das, Ajoy Mondal, Tapan Chakraborty +1
Grain segmentation of sandstone that is partitioning the grain from its surrounding matrix/cement in the thin section is the primary step for computer-aided mineral identification…
Event and Activity Recognition in Video Surveillance for Cyber-Physical Systems
Swarnabja Bhaumik, Prithwish Jana, Partha Pratim Mohanta
This chapter aims to aid the development of Cyber-Physical Systems (CPS) in automated understanding of events and activities in various applications of video-surveillance. These ev…
MIO : Mutual Information Optimization using Self-Supervised Binary Contrastive Learning
Siladittya Manna, Umapada Pal, Saumik Bhattacharya
Self-supervised contrastive learning frameworks have progressed rapidly over the last few years. In this paper, we propose a novel loss function for contrastive learning. We model…
COVID-19 Face Mask Recognition with Advanced Face Cut Algorithm for Human Safety Measures
Arkaprabha Basu, Md Firoj Ali
In the last year, the outbreak of COVID-19 has deployed computer vision and machine learning algorithms in various fields to enhance human life interactions. COVID-19 is a highly c…
LoOp: Looking for Optimal Hard Negative Embeddings for Deep Metric Learning
Bhavya Vasudeva, Puneesh Deora, Saumik Bhattacharya +2
Deep metric learning has been effectively used to learn distance metrics for different visual tasks like image retrieval, clustering, etc. In order to aid the training process, exi…
Triplet-Watershed for Hyperspectral Image Classification
Aditya Challa, Sravan Danda, B. S. Daya Sagar +1
Hyperspectral images (HSI) consist of rich spatial and spectral information, which can potentially be used for several applications. However, noise, band correlations and high dime…
State-of-The-Art Fuzzy Active Contour Models for Image Segmentation
Ajoy Mondal, Kuntal Ghosh
Image segmentation is the initial step for every image analysis task. A large variety of segmentation algorithm has been proposed in the literature during several decades with some…
Self-Supervised Representation Learning for Detection of ACL Tear Injury in Knee MR Videos
Siladittya Manna, Saumik Bhattacharya, Umapada Pal
The success of deep learning based models for computer vision applications requires large scale human annotated data which are often expensive to generate. Self-supervised learning…
Deep Image Orientation Angle Detection
Subhadip Maji, Smarajit Bose
Estimating and rectifying the orientation angle of any image is a pretty challenging task. Initial work used the hand engineering features for this purpose, where after the inventi…
Rotation Invariant Deep CBIR
Subhadip Maji, Smarajit Bose
Introduction of Convolutional Neural Networks has improved results on almost every image-based problem and Content-Based Image Retrieval is not an exception. But the CNN features,…
Pick-Object-Attack: Type-Specific Adversarial Attack for Object Detection
Omid Mohamad Nezami, Akshay Chaturvedi, Mark Dras +1
Many recent studies have shown that deep neural models are vulnerable to adversarial samples: images with imperceptible perturbations, for example, can fool image classifiers. In t…
A New Unified Method for Detecting Text from Marathon Runners and Sports Players in Video
Sauradip Nag, Palaiahnakote Shivakumara, Umapada Pal +2
Detecting text located on the torsos of marathon runners and sports players in video is a challenging issue due to poor quality and adverse effects caused by flexible/colorful clot…
LGVTON: A Landmark Guided Approach to Virtual Try-On
Debapriya Roy, Sanchayan Santra, Bhabatosh Chanda
In this paper, we propose a Landmark Guided Virtual Try-On (LGVTON) method for clothes, which aims to solve the problem of clothing trials on e-commerce websites. Given the images…
An End-to-End Framework for Unsupervised Pose Estimation of Occluded Pedestrians
Sudip Das, Perla Sai Raj Kishore, Ujjwal Bhattacharya
Pose estimation in the wild is a challenging problem, particularly in situations of (i) occlusions of varying degrees and (ii) crowded outdoor scenes. Most of the existing studies…
Scale-Invariant Multi-Oriented Text Detection in Wild Scene Images
Kinjal Dasgupta, Sudip Das, Ujjwal Bhattacharya
Automatic detection of scene texts in the wild is a challenging problem, particularly due to the difficulties in handling (i) occlusions of varying percentages, (ii) widely differe…
Seek and You Will Find: A New Optimized Framework for Efficient Detection of Pedestrian
Sudip Das, Partha Sarathi Mukherjee, Ujjwal Bhattacharya
Studies of object detection and localization, particularly pedestrian detection have received considerable attention in recent times due to its several prospective applications suc…
Intra-Variable Handwriting Inspection Reinforced with Idiosyncrasy Analysis
Chandranath Adak, Bidyut B. Chaudhuri, Chin-Teng Lin +1
In this paper, we work on intra-variable handwriting, where the writing samples of an individual can vary significantly. Such within-writer variation throws a challenge for automat…
Mimic and Fool: A Task Agnostic Adversarial Attack
Akshay Chaturvedi, Utpal Garain
At present, adversarial attacks are designed in a task-specific fashion. However, for downstream computer vision tasks such as image captioning, image segmentation etc., the curren…