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Article
Early-stage autism diagnosis using action videos and contrastive feature learning
Autism, also known as Autism Spectrum Disorder (or ASD), is a neurological disorder. Its main symptoms include difficulty in verbal/non-verbal communication and rigid/repetitive behavior. These symptoms are of...
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Chapter and Conference Paper
Worst-Case Adversarial Perturbation and Effect of Feature Normalization on Max-Margin Multi-label Classifiers
Multi-label classification is a generalization of single-label classification, where an unseen sample is automatically assigned a subset of semantically relevant labels from a given vocabulary. In parallel, re...
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Article
A retrieval-based approach for diverse and image-specific adversary selection
While deep neural network-based models have demonstrated compelling performance on various tasks in computer vision and other fields, they have been found to be vulnerable to adversarial attacks. Particularly,...
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Chapter and Conference Paper
Recurrent Image Annotation with Explicit Inter-label Dependencies
Inspired by the success of the CNN-RNN framework in the image captioning task, several works have explored this in multi-label image annotation with the hope that the RNN followed by a CNN would encode inter-l...
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Article
Automatic image annotation: the quirks and what works
Automatic image annotation is one of the fundamental problems in computer vision and machine learning. Given an image, here the goal is to predict a set of textual labels that describe the semantics of that im...
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Article
Cross-specificity: modelling data semantics for cross-modal matching and retrieval
While dealing with multi-modal data such as pairs of images and text, though individual samples may demonstrate inherent heterogeneity in their content, they are usually coupled with each other based on some h...
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Chapter and Conference Paper
Android-Based Home Automation Using Bluetooth and ESP8266
This paper exhibits a minimal effort and adaptable home control and checking framework for getting to and controlling gadgets and machines remotely utilizing Android-based smart telephone application. The depi...
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Article
Image Annotation by Propagating Labels from Semantic Neighbourhoods
Automatic image annotation aims at predicting a set of semantic labels for an image. Because of large annotation vocabulary, there exist large variations in the number of images corresponding to different labe...
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Chapter and Conference Paper
Image Annotation Using Metric Learning in Semantic Neighbourhoods
Automatic image annotation aims at predicting a set of textual labels for an image that describe its semantics. These are usually taken from an annotation vocabulary of few hundred labels. Because of the large...
