no code implementations • 8 Sep 2021 • Sai Phani Kumar Malladi, Jayanta Mukhopadhyay, Chaker Larabi, Santanu Chaudhury
Then, we evaluate and compare the performance of the explainable models derived from UNISAL, MSI-Net and CMRNet on three benchmark datasets with other state-of-the-art methods.
no code implementations • 10 Aug 2021 • Chetan Ralekar, Shubham Choudhary, Tapan Kumar Gandhi, Santanu Chaudhury
We have used eye-tracking to assay the spatial distribution of information hotspots for humans via fixation maps and an activation mapping technique for obtaining analogous distributions for deep networks through visualization maps.
no code implementations • 3 Aug 2020 • Aakarsh Malhotra, Surbhi Mittal, Puspita Majumdar, Saheb Chhabra, Kartik Thakral, Mayank Vatsa, Richa Singh, Santanu Chaudhury, Ashwin Pudrod, Anjali Agrawal
Firstly, we present the COVID-19 Multi-Task Network which is an automated end-to-end network for COVID-19 screening.
no code implementations • 10 Jan 2020 • Ronak Gupta, Prashant Anand, Santanu Chaudhury, Brejesh lall, Sanjay Singh
Fall detection holds immense importance in the field of healthcare, where timely detection allows for instant medical assistance.
3 code implementations • 30 Nov 2019 • Jobin Wilson, Amit Kumar Meher, Bivin Vinodkumar Bindu, Santanu Chaudhury, Brejesh lall, Manoj Sharma, Vishakha Pareek
Data abundance along with scarcity of machine learning experts and domain specialists necessitates progressive automation of end-to-end machine learning workflows.
no code implementations • 2 Apr 2019 • Prerana Mukherjee, Manoj Sharma, Megh Makwana, Ajay Pratap Singh, Avinash Upadhyay, Akkshita Trivedi, Brejesh lall, Santanu Chaudhury
In this paper, we present a novel end-to-end coupled Denoising based Saliency Prediction with Generative Adversarial Network (DSAL-GAN) framework to address the problem of salient object detection in noisy images.
no code implementations • 8 Nov 2018 • Deepak Mishra, Prathosh A. P., Aravind Jayendran, Varun Srivastava, Santanu Chaudhury
Generative adversarial networks (GANs) have shown remarkable success in generation of unstructured data, such as, natural images.
no code implementations • 27 Sep 2018 • Deepak Mishra, Prathosh AP, Aravind J, Prashant Pandey, Santanu Chaudhury
Conditional generation refers to the process of sampling from an unknown distribution conditioned on semantics of the data.
no code implementations • 1 May 2018 • Deepak Mishra, Rajeev Ranjan, Santanu Chaudhury, Mukul Sarkar, Arvinder Singh Soin
These approaches require object-centric images to perform matching.
no code implementations • 10 Jan 2018 • Deepak Mishra, Santanu Chaudhury, Mukul Sarkar, Arvinder Singh Soin
Contrast and quality of ultrasound images are adversely affected by the excessive presence of speckle.
no code implementations • 21 Sep 2017 • Siddharth Srivastava, Swati Bhugra, Brejesh lall, Santanu Chaudhury
Quantification of physiological changes in plants can capture different drought mechanisms and assist in selection of tolerant varieties in a high throughput manner.
no code implementations • 19 Aug 2017 • Disha Shrivastava, Santanu Chaudhury, Dr. Jayadeva
Training deep networks is expensive and time-consuming with the training period increasing with data size and growth in model parameters.
no code implementations • 10 Oct 2016 • Jobin Wilson, Ram Mohan, Muhammad Arif, Santanu Chaudhury, Brejesh lall
The crux of the problem in KDD Cup 2016 involves developing data mining techniques to rank research institutions based on publications.
no code implementations • 11 Mar 2015 • Vandna Bhalla, Santanu Chaudhury, Arihant Jain
In this paper we propose to apply CNN to small data sets like for example, personal albums or other similar environs where the size of training dataset is a limitation, within the framework of a proposed hybrid CNN-AIS model.
no code implementations • 26 Feb 2015 • Anupama Ray, Sai Rajeswar, Santanu Chaudhury
This paper proposes a hybrid text recognizer using a deep recurrent neural network with multiple layers of abstraction and long range context along with a language model to verify the performance of the deep neural network.
no code implementations • 8 Feb 2015 • Jobin Wilson, Chitharanj Kachappilly, Rakesh Mohan, Prateek Kapadia, Arun Soman, Santanu Chaudhury
Communication Service Providers (CSPs) are in a unique position to utilize their vast transactional data assets generated from interactions of subscribers with network elements as well as with other subscribers.
no code implementations • 25 Feb 2014 • Jobin Wilson, Santanu Chaudhury, Brejesh lall, Prateek Kapadia
While computing similarity between users, we make use of a combined similarity measure involving rating overlap as well as similarity in the latent topic space.