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Exploring the Inherent Saliency in Visual Data through Convolutional Neural Networks
Saliency plays a key role in various computer vision tasks. Extracting salient regions from images
and videos has been a well-established problem in computer vision. Determining salient
regions in an image or video has ...
Development and application of multi-photon microscopy in neuroscience and nanoscience
Neuroscience is at crossroads. Several interdisciplinary optical developments centred around
nonlinear optical processes helps in better understanding of brain function at sub-micron and
millisecond precision. Traditional ...
Fast Solvers and Preconditioning Methods in Computational Electromagnetics
Method of Moments (MoM) is an integral equation based solver and is one of the most popular computational techniques to solve complex 3D Electromagnetic problems efficiently and accurately. Compared to the conventional ...
Optical and Optothermal route towards dynamic nanomanipulation in fluids
Manipulation of materials with light has led to significant breakthroughs in biology, material science and soft condensed matter physics. Conventional optical tweezer, which is effectively a tightly focused laser beam, can ...
Electric Field Induced Phenomena: Mass Flow and Chemical Reaction-based Patterning
Numerous electric field induced phenomena have been studied, for long, at various length scales. In particular, a concentrated electric field applied across a conductor, or equivalently an electric current of very high ...
Integration of Layered Materials with Group-III Nitride Semiconductors for Dual Band Photodetection
In many applications, simultaneous detection in two distinct bands, UV and IR regime is required. An instrumentation in which detection in both the bands achievable using single device would be highly desirable owing to ...
A Hierarchical Control Plane Framework for Integrated SDN-SFC Management in Multi-tenant Cloud Datacenters
Cloud data centers represent one of the most complex and dynamic environments in terms of
network management. The multitude of hosted applications in such centers share the same
fabric and yet demand easy and fast service ...
Global control of mechanics on Riemannian manifolds, and applications to under-actuated aerial vehicles
We consider the problem of designing trajectory tracking feedback control laws for La-
grangian mechanical systems in a Riemannian geometric framework. Classical nonlinear
control techniques that rely on Euclidean ...
Parallel Smoothers for Multigrid Method in Heterogeneous CPU-GPU Environment
Real-world applications require the solution of large a sparse system of algebraic equations that
arise from the discretization of partial di erential equations with the help of supercomputers.
Modern supercomputers are ...
Towards Learning Adversarially Robust Deep Learning Models
Deep learning models have shown impressive performance across a wide spectrum of computer vision
applications, including medical diagnosis and autonomous driving. One of the major concerns that
these models face is their ...