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  • An Exploratory study on authorship veri cation and learning assessment in online education systems 
    Singhal, Priyanka; Singh, Pushpendra (Advisor) (2015-12-03)
    Many in class and distance courses off ered these days involve the submission of assignments online. These assignments are meant to be assessed to give students timely feedback. However, ensuring that the student who ...
  • Exploring geometric constraints for learning representations for visual data 
    Shukla, Ankita; Anand, Saket (Advisor) (IIIT-Delhi, 2020-10)
    Representation of visual data is a connecting link between the perceptual world and machine based processing. Over the decades, the computer vision community is dedicated to improving these representations, so that it can ...
  • Exploring RF data converters on RFSoC platform 
    Sharma, Somya; Darak, Sumit Jagdish (Advisor) (IIIT-Delhi, 2022-07-04)
    The evolution of conventional field-programmable gate array (FPGA) platforms to all programmable multi-processor system-on-chip (MPSoC) platforms in the last decade has comprehensively addressed the scalability and flexibility ...
  • Explorized filter-based on-policy adaptive optimal lqr with unknown dynamics 
    Chhillar, Jayant; Roy, Sayan Basu (Advisor) (IIIT-Delhi, 2023-08)
    Conventionally, optimal control solutions demand offline a priori knowledge of the system dynamics. Adaptive optimal control methods have been advantageous in allowing for dynamic controllers to approximate optimal control ...
  • Extended reality-based procedural task training systems for young children 
    Singh, Katyayani; Sharma, Ojaswa (Advisor); Dey, Arindam (Advisor) (IIITD-Delhi, 2018-04-30)
    In this work, we evaluate the applicability of Augmented Reality and Virtual Reality in designing enhanced learning experiments for children. Such an intervention can prove to be very useful to kids with reduced cognitive ...
  • Extending a scaling based flow algorithm for higher order MRF-MAP inference in vision 
    Prasoon; Arora, Chetan (Advisor) (2016-09-13)
    Several tasks in computer vision and Machine Learning are modeled as MRF-MAP inference problems. The problem can often be modeled as minimizing sum of submodular functions. Since, sum of submodular functions (SoS) is also ...
  • An extensive study on state-of-the-art c decompilers 
    Singh, Sejal; Purandare, Rahul (Advisor); Jain, Ridhi (Advisor) (IIIT-Delhi, 2021-06)
    C decompilers are often chosen by the developers when they do not have the source code available in order to either debug or understand the code. Previous studies suggest that the C decompilers are not correct; however, ...
  • Extreme abstractive text summarization 
    Simran; Chakraborty, Tanmoy (Advisor); Akhtar, Md. Shad (Advisor) (IIIT-Delhi, 2022-12)
    Extreme Abstractive Summarization of long scientific papers requires domain knowledge and a concise summary maintaining faithfulness to the source and covering novel aspects presented in the paper. Human annotations are ...
  • Face and gender classification in crowd video 
    Verma, Priyanka; Singh, Richa (Advisor); Vatsa, Mayank (Advisor) (2015-12-03)
    Research in face and gender recognition under constrained environment has achieved an acceptable level of performance. There have been advancements in face and gender recognition in unconstrained environment, however, ...
  • Face anti-spoofing via motion magnification and multifeature videolet aggregation 
    Bharadwaj, Samarth; Dhamecha, Tejas I; Vatsa, Mayank; Singh, Richa (2014-06-03)
    For robust face biometrics, a reliable anti-spoofing approach has become an essential pre-requisite against attacks. While spoofing attacks are possible with any biometric modality, face spoofing attacks are relatively ...
  • Face detection and verication in unconstrained videos: challenges, detection, and benchmark evaluation 
    Shah, Mahek; Vatsa, Mayank (Advisor); Singh, Richa (Advisor) (2015-12-05)
    With increasing security concerns, surveillance cameras are playing an important role in the society and face recognition in crowd is gaining more importance than ever. For video face recognition, researchers have primarily ...
  • Face recognition for forensics 
    Jain, Arushi; Singh, Richa (Advisor); Vatsa, Mayank (Advisor) (2017-04-18)
    Face Recognition involves a wide range of applications, many of which are centered around forensic applications. Dead bodies in large-scale calamities like foods and earthquakes require to be identified. However, the bodies ...
  • Face recognition in drone-shot videos 
    Kalra, Isha; Vatsa, Mayank (Advisor); Singh, Richa (Advisor) (IIITD-Delhi, 2019-05-20)
    Unmanned Aerial Vehicles (UAVs) or drones are often used to reach remote areas or regions which are inaccessible to humans. Equipped with a large eld of view, compact size, and remote control abilities, drones are deemed ...
  • Facial analysis under low resolution and disguise variations 
    Singh, Maneet; Singh, Richa (Advisor); Vatsa, Mayank (Advisor) (IIIT-Delhi, 2021-12)
    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 ...
  • A fail-fast mechanism for authenticated encryption schemes 
    Gupta, Naina; Chang, Donghoon (Advisor) (2016-01-01)
    In the modern world, almost every computing device uses some cryptographic technique or the other. Over the years several schemes have been proposed implemented and standardized. For any kind of data transfer the primary ...
  • Fairness in entity matching 
    Agrawal, Sankalp; Rawal, Jay; Mohania, Mukesh (Advisor); Padmanabhan, Deepak (Advisor) (IIIT- Delhi, 2021-05)
    Entity matching (EM) has been one of the long-standing challenges in databases domain. Tra- ditionally, the approaches for EM focuses on developing matching algorithms and works on pairwise similarity between attributes. ...
  • Fake news detection using repositories 
    Gupta, Gavish; Singh, Shrey Kumar; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2022-05)
    A rapid growth in the amount of fake news on social media is a very serious concern in our society. Fake news are usually created by making changes to text, images, audio, and videos. To bust these fake news, there are ...
  • Fake reviewer group detection 
    Dhawan, Sarthika; Chakraborty, Tanmoy (Advisor) (IIITD-Delhi, 2019-04-15)
    Online reviews play a crucial role in deciding the quality before purchasing any product. Unfortunately, scammers often take advantage of online review forums by writing fraud reviews to promote/demote certain products. ...
  • Feature engineering for low dimensional representation of genes’ expression and pathological activities across diverse human tissues 
    Rai, Priyadarshini; Sengupta, Debarka (Advisor); Majumdar, Angshul (Advisor) (IIIT-Delhi, 2022-10)
    The advent of tissue and single cell based transcriptomic profiling technologies has allowed precise characterization of tissue specific gene activities in the context of development and disease. Human cells express about ...
  • Federated learning for commercial image sources 
    Jain, Shreyansh; Jerripothula, Koteswar Rao (Advisor) (IIIT-Delhi, 2023-05)
    With the growing awareness regarding user privacy and the demand for transparency, traditional distributed machine learning algorithms are becoming taboo that uses the user’s data without any restriction or privacy. The ...

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