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
9 papers · 2 filters
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…