There are many real-world problems pertaining to the need for the fusion of information from multiple sources. Consider, for example, the problem of demand forecasting that requires estimating the power consumption at a ...
Artificial neural networks (ANNs) have occupied the centre stage in deep learning. An activation function is a crucial component in the neural network, which introduces the non-linearity in the network. An activation ...
Education in traditional classroom settings was restricted to static content in textbooks. It also assumes all the learners have a similar pace of learning. Online learning platforms have shifted the paradigm and have made ...
Egocentric videos are recorded in a hands-free, always-on, under enhanced privacy-sensitive scenario and are often collected from day to weeks. For efficient consumption, such videos require robust video analysis techniques ...
Jain, Monika; Subramanyam, A V (Advisor)(IIIT-Delhi, 2022-06)
Correlation Filter based visual trackers have demonstrated tremendous progress in object tracking. These trackers primarily use hierarchical features learned from multiple layers of a deep network. However, issues related ...
Time series analytics is the practice of determining future values of correlated signals. In seminal works, time series were modeled using classical techniques such as ARMA (autoregressive moving average), and its variants ...
Disaster risk reduction is integral to social and economic development as per the 2030 Agenda of Sustainable Development. Among all the natural disasters, storms and floods have significant contributions in terms of their ...
Transportation is a fundamental task in modern-day civilization. Examples of transportation in our daily lives include going to the workplace, returning home after work, etc. In this thesis, we investigate computational ...
Face is one of the least invasive biometric modalities, and has been used as physical signature to perform person recognition. Face recognition has widespread applicability in various domains such as surveillance, access ...
Surveillance camera networks are a useful monitoring infrastructure dat can be used for various visual analytics applications, where high-level inferences and predictions could be made based on target tracking across teh ...
Sinha, Mitali; Deb, Sujay (Advisor)(IIIT-Delhi, 2022-04)
In recent years, as multi-core processors are emerging as a solution to the limitations of power scaling, the software domain is also experiencing a surge of compute and data-intensive applications. These applications are ...
With the rapid growth of the World Wide Web and the Internet of Things, huge amounts of digital data are being produced everyday. Digital forensics investigators face an uphill battle when they have to manually screen ...
Over the past decade with the explosion of smartphones and pervasive usage of data connectivity, location-based services have increasingly become popular. As a result, Location- based Social Network(LBSN) such as Foursquare, ...
V, Sathish; Butail, Sachit (Advisor); Orkisz, Michal (Advisor)(IIIT-Delhi, 2021-02)
Industrial robots are complex systems that require technical expertise for condition monitoring and diagnostics. In small and medium scale industries, adequate skilled resources may not be available to monitor the robots ...
Automated facial analysis has widespread applicability in scenarios related to image tagging, access control, and surveillance. Initial research focused primarily on face recognition in constrained settings, where the ...
Gupta, Monika; Jalote, Pankaj (Advisor); Serebrenik, Alexander (Advisor)(IIIT-Delhi, 2019-12)
Software maintenance refers to the modification of software product after delivery and is required to correct faults, to improve the performance or other attributes, or to adapt the product to a modified environment. It ...
Delineation of the complex layers of biological system requires a cumulative effort from multiple disciplines of science. The present thesis work utilizes some of the interdisciplinary approaches by combining the automation ...
Online media platforms have enabled users to connect with individuals, organizations and share their thoughts. Other than connectivity, these platforms also serve multiple purposes - education, promotion, updates, awareness, ...
Free and open communication over the Internet is essential for the overall advancement of
modern societies. However, there are numerous ways with which malevolent adversaries try to
control the flow of information, by ...
With the ever-growing dependency on software, testing for their unexpected behavior
is as important as verifying for their known properties, to avoid potential losses. Existing
software testing approaches assume either ...