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Denoising and Refinement Methods for 3D Reconstruction
Capturing raw 3D data from the real world is the initial step for many 3D reconstruction pipelines in
different computer vision applications. However, due to inaccuracies in measurement and oversimplification
in mathematical ...
IO Pattern Aware Methods to Improve the Performance and Lifetime of NAND SSD
Modern SSDs can store multiple bits per transistor which enables it to have higher
storage capacities. Low cost per bit of such SSDs has made it a commercial success. As
of 2018, cells with an ability to store three bits ...
Physics Based Design & Development of Gallium Nitride High Electron Mobility Transistors (HEMTs) & Schottky Barrier Diodes for Power and RF Applications
Silicon-based transistors such as MOSFETs have been the preferred choice for decades now for both power as well as high-frequency device applications. The meteoric rise of Silicon was fuelled by the quest for a highly ...
Design and Development of ECA based Routing Protocols for Ubiquitous Network
The ubiquitous network is a heterogeneous wireless network comprising of computing devices such as laptops, smartphones, tablets, PDAs, etc., are connected to any device at any time, anywhere that enabling mobile users to ...
Knowledge-driven training of deep models for better reconstruction and recognition
This thesis aims to efficiently solve many interesting and challenging problems by incorporating
appropriate image processing techniques in a deep learning framework. We have proposed, implemented
and tested efficient ...
Resource Allocation Schemes for 4G/5G based Interactive Multimedia Networks
Emerging interactive multimedia applications such as Virtual Reality (VR) and Augmented Reality are upcoming important applications in healthcare, autonomous transport, education, tactile internet, and industrial automation. ...
Adjacent Independent Row (Air) Matrices and Index Coding
An index coding problem, comprises a transmitter that has a set of independent
messages and a set of receivers. Each receiver knows a subset of messages, called
its side-information, and demands another subset of messages, ...
Risk Estimation Strategies for Speech Signal Denoising
In automatic speech recognition (ASR) systems, the recognition performance is severely
affected by noise in the input speech signal [2]. One can improve the performance of ASR
systems in noisy environments by denoising ...
Sparsity Driven Solutions to Linear and Quadratic Inverse Problems
The problem of signal reconstruction from inaccurate and possibly incomplete set of
linear/non-linear measurements occurs in a variety of signal and image processing
applications. In this thesis, we develop reconstruction ...
Compositionality of Object Representations in Brains and Machines
Compositionality in object vision can be defined as the principles governing the
relationship between whole objects and their constituent attributes. It is known that object
information falling on the retina is processed ...