activity
20152018
most citedSiamese LSTM based Fiber Structural Similarity Network (FS2Net) for Rotation Invariant Brain Tractography Segmentation

7 citations · 17 across the 4 of their papers we have counts for

collaborators

6 papers

cs.GR20184 cited

Antara: An Interactive 3D Volume Rendering and Visualization Framework

Pratik Kalshetti, Parag Rahangdale, Dinesh Jangra +2

The goal of 3D visualization is to provide the user with an intuitive interface which enables him to explore the 3D data in an interactive manner. The aim of the exploration is to…

cs.CV20181 cited

Automatic Feature Weight Determination using Indexing and Pseudo-Relevance Feedback for Multi-feature Content-Based Image Retrieval

Asheet Kumar, Shivam Choudhary, Vaibhav Singh Khokhar +2

Content-based image retrieval (CBIR) is one of the most active research areas in multimedia information retrieval. Given a query image, the task is to search relevant images in a r…

cs.CV2018

Automatic Rendering of Building Floor Plan Images from Textual Descriptions in English

Mahak Jain, Anurag Sanyal, Shreya Goyal +2

Human beings understand natural language description and could able to imagine a corresponding visual for the same. For example, given a description of the interior of a house, we…

cs.CV2018

SUGAMAN: Describing Floor Plans for Visually Impaired by Annotation Learning and Proximity based Grammar

Shreya Goyal, Satya Bhavsar, Shreya Patel +2

In this paper, we propose SUGAMAN (Supervised and Unified framework using Grammar and Annotation Model for Access and Navigation). SUGAMAN is a Hindi word meaning "easy passage fro…

cs.CV20177 cited

Siamese LSTM based Fiber Structural Similarity Network (FS2Net) for Rotation Invariant Brain Tractography Segmentation

Shreyas Malakarjun Patil, Aditya Nigam, Arnav Bhavsar +1

In this paper, we propose a novel deep learning architecture combining stacked Bi-directional LSTM and LSTMs with the Siamese network architecture for segmentation of brain fibers,…

cs.CR20155 cited

Encoding by DNA Relations and Randomization Through Chaotic Sequences for Image Encryption

Chiranjoy Chattopadhyay, Bikramjit Sarkar, Debaprasad Mukherjee

Researchers in the field of DNA-based chaotic cryptography have recently proposed a set of novel and efficient image encryption algorithms. In this paper, we present a comprehensiv…