Search Results for author: Santanu Chaudhury

Found 17 papers, 1 papers with code

Deriving Explanation of Deep Visual Saliency Models

no code implementations8 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.

Saliency Prediction

Understanding Character Recognition using Visual Explanations Derived from the Human Visual System and Deep Networks

no code implementations10 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.

Eye Tracking

Compressive sensing based privacy for fall detection

no code implementations10 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.

Compressive Sensing

Automatically Optimized Gradient Boosting Trees for Classifying Large Volume High Cardinality Data Streams Under Concept Drift

3 code implementations30 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.

AutoML

DSAL-GAN: Denoising based Saliency Prediction with Generative Adversarial Networks

no code implementations2 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.

Denoising RGB Salient Object Detection +2

Mode matching in GANs through latent space learning and inversion

no code implementations8 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.

Unsupervised Conditional Generation using noise engineered mode matching GAN

no code implementations27 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.

Unsupervised Despeckling

no code implementations10 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.

Drought Stress Classification using 3D Plant Models

no code implementations21 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.

3D Reconstruction Classification +2

A Data and Model-Parallel, Distributed and Scalable Framework for Training of Deep Networks in Apache Spark

no code implementations19 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.

Ranking academic institutions on potential paper acceptance in upcoming conferences

no code implementations10 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.

A Novel Hybrid CNN-AIS Visual Pattern Recognition Engine

no code implementations11 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.

Small Data Image Classification

A hypothesize-and-verify framework for Text Recognition using Deep Recurrent Neural Networks

no code implementations26 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.

Language Modelling

Real World Applications of Machine Learning Techniques over Large Mobile Subscriber Datasets

no code implementations8 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.

Improving Collaborative Filtering based Recommenders using Topic Modelling

no code implementations25 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.

Collaborative Filtering

Cannot find the paper you are looking for? You can Submit a new open access paper.