Mobile robots have become ubiquitous today and are used widely in sensor networks. Their use in applications involving long-term operations, remote sensing and complex environments is a widely studied area of research due ...

I am eternally grateful to a lot of people who, in no particular order, have helped me get through the tough times during the course of this dissertation. I have no words to thank my lovely parents who have always taught ...

Due to the unconstrained nature of data capture and non-cooperative subjects, automatic face recognition is still a research challenge for application scenarios such as law enforcement. We observe that challenges of face ...

In this thesis, we study the d-dimensional rectilinear drawings of d-uniform hypergraphs in which each hyperedge contains exactly d vertices. A d-dimensional rectilinear drawing of a d-uniform hypergraph is a drawing of ...

A scene can be interpreted from two perspectives: geometric and semantic. Geometric scene understanding requires inferring the3D layout of the scene from an image or video, while semantic scene understanding requires ...

Human vision is a powerful imaging system that can capture and interpret light energy coming from different sources although it is limited to visible light. There are various applications such as face recognition, medical ...

Community health workers (CHWs) in low- and middle-income countries play a vital role in public healthcare. CHWs particularly assist in improving maternal and child health conditions of the poor and vulnerable who often ...

Online Social Networks have become a cornerstone of Web 2.0 era. Internet users around the world use Online Social Networks as primary sources to consume news, updates, and information about events around the world. However, ...

In the past decade, Natural Language Processing has undergone a transformative journey, marked by profound changes. The realm of conversational discourse, in particular, has witnessed remarkable advancements, with contemporary ...