9 citations · 38 across the 12 of their papers we have counts for
14 papers
Deriving Explanation of Deep Visual Saliency Models
Sai Phani Kumar Malladi, Jayanta Mukhopadhyay, Chaker Larabi +1
Deep neural networks have shown their profound impact on achieving human level performance in visual saliency prediction. However, it is still unclear how they learn the task and w…
Understanding Character Recognition using Visual Explanations Derived from the Human Visual System and Deep Networks
Chetan Ralekar, Shubham Choudhary, Tapan Kumar Gandhi +1
Human observers engage in selective information uptake when classifying visual patterns. The same is true of deep neural networks, which currently constitute the best performing ar…
Multi-Task Driven Explainable Diagnosis of COVID-19 using Chest X-ray Images
Aakarsh Malhotra, Surbhi Mittal, Puspita Majumdar +7
With increasing number of COVID-19 cases globally, all the countries are ramping up the testing numbers. While the RT-PCR kits are available in sufficient quantity in several count…
Compressive sensing based privacy for fall detection
Ronak Gupta, Prashant Anand, Santanu Chaudhury +2
Fall detection holds immense importance in the field of healthcare, where timely detection allows for instant medical assistance. In this context, we propose a 3D ConvNet architect…
DSAL-GAN: Denoising based Saliency Prediction with Generative Adversarial Networks
Prerana Mukherjee, Manoj Sharma, Megh Makwana +5
Synthesizing high quality saliency maps from noisy images is a challenging problem in computer vision and has many practical applications. Samples generated by existing techniques…
Mode matching in GANs through latent space learning and inversion
Deepak Mishra, Prathosh A. P., Aravind Jayendran +2
Generative adversarial networks (GANs) have shown remarkable success in generation of unstructured data, such as, natural images. However, discovery and separation of modes in the…
Localization: A Missing Link in the Pipeline of Object Matching and Registration
Deepak Mishra, Rajeev Ranjan, Santanu Chaudhury +2
Image registration is a process of aligning two or more images of same objects using geometric transformation. Most of the existing approaches work on the assumption of location in…
Unsupervised Despeckling
Deepak Mishra, Santanu Chaudhury, Mukul Sarkar +1
Contrast and quality of ultrasound images are adversely affected by the excessive presence of speckle. However, being an inherent imaging property, speckle helps in tissue characte…
Drought Stress Classification using 3D Plant Models
Siddharth Srivastava, Swati Bhugra, Brejesh Lall +1
Quantification of physiological changes in plants can capture different drought mechanisms and assist in selection of tolerant varieties in a high throughput manner. In this contex…
A Data and Model-Parallel, Distributed and Scalable Framework for Training of Deep Networks in Apache Spark
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. In this paper, we provide a framework for…
Ranking academic institutions on potential paper acceptance in upcoming conferences
Jobin Wilson, Ram Mohan, Muhammad Arif +2
The crux of the problem in KDD Cup 2016 involves developing data mining techniques to rank research institutions based on publications. Rank importance of research institutions are…
A Novel Hybrid CNN-AIS Visual Pattern Recognition Engine
Vandna Bhalla, Santanu Chaudhury, Arihant Jain
Machine learning methods are used today for most recognition problems. Convolutional Neural Networks (CNN) have time and again proved successful for many image processing tasks pri…
A hypothesize-and-verify framework for Text Recognition using Deep Recurrent Neural Networks
Anupama Ray, Sai Rajeswar, Santanu Chaudhury
Deep LSTM is an ideal candidate for text recognition. However text recognition involves some initial image processing steps like segmentation of lines and words which can induce er…
Improving Collaborative Filtering based Recommenders using Topic Modelling
Jobin Wilson, Santanu Chaudhury, Brejesh Lall +1
Standard Collaborative Filtering (CF) algorithms make use of interactions between users and items in the form of implicit or explicit ratings alone for generating recommendations.…