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  • 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 ...
  • Few quantum cryptanalysis techniques 
    Saha, Sanchita; Bera, Debajyoti (Advisor) (IIIT-Delhi, 2021-05)
    Quantum algorithms like Shor’s and Grover’s algorithms have proven to break several cryptographic schemes theoretically. Shor’s algorithm, which can factor numbers exponentially faster than classical computers, can break ...
  • Filter-based reinforcement learning for adaptive optimal control of continuous-time dynamical systems 
    Kaur, Avneet; Roy, Sayan Basu (Advisor); Banerjee, Shilpak (Advisor) (IIIT-Delhi, 2020-06-02)
    The Report describes the Linear Quadratic Regulator(LQR) and the study of the linear systems on different types of systems i.e single agent and multi-agent systems.Different approaches are available for creating an optimal ...
  • Filter-based reinforcement learning for adaptive optimal control of continuous-time dynamical systems 
    Kaur, Avneet; Bharti, Moh; Roy, Sayan Basu (Advisor); Banerjee, Shilpak (Advisor) (IIIT-Delhi, 2020-06-02)
    The Report describes the Linear Quadratic Regulator(LQR) and the study of the linear systems on different types of systems i.e single agent and multi-agent systems.Different approaches are available for creating an optimal ...
  • Finding influential people from a historical news repository 
    Gupta, Aayushee; Dutta, Haimonti (Advisor) (IIIT Delhi, 2014-09-05)
    Historical newspaper archives provide a wealth of information. They are of particular interest to genealogists, historians and scholars for People Search. In this thesis, we design a People Gazetteer from the noisy OCR ...
  • Finding optimal locations for taxi stands on city map 
    Mittal, Yesha; Naik, Vinayak (Advisor); Gunturi, Venkata M. Viswanath (Advisor) (2016-09-13)
    We present an algorithm which suggests suitable locations for taxi stands on a city map. This is done using pickup locations information gathered from GPS devices installed on taxis. We aim at finding locations where taxi ...
  • Finding textual description for paths in knowledge graphs 
    Agrawal, Dewangee; Kumar, Suraj Prathik; Bhatia, Sumit (Advisor); Mutharaju, Vijaya Raghava (Advisor) (IIIT-Delhi, 2019-11-15)
    We address the problem of finding a textual summary of facts within a path in a knowledge graph.Knowledge graphs are increasingly used in search engines and store data in the form of a Semantic Web structure making ...
  • Finding top-k influential set in directed graphs 
    Sahu, Pankaj; Goyal, Vikram (Advisor) (IIIT Delhi, 2014-09-12)
    A RkNN (Reverse k Nearest Neighbor) set of a query q is known as the influence set of q that contains the top k influential points. This query has got a considerable amount of attention due to its importance in various ...
  • Finding unique pattern in transcriptome and epigenome of cancer cells 
    Mathur, Arpit; Kumar, Vibhor (Advisor) (IIIT-Delhi, 2022-12)
    Studying Chromatin Architecture is paramount to an understanding of cells or nuclei in disease and normal state. With recent advances in genomic technologies and computational power, new domains like Topologically associated ...
  • Finding unique patterns in transcriptome and epigenome of cancer cells 
    Mathur, Arpit; Kumar, Vibhor (Advisor) (IIIT-Delhi, 2022-12)
    Background: Studying Chromatin Architecture is paramount to an understanding of cells or nuclei in disease and normal state. With recent advances in genomic technologies and computational power, new domains like Topologically ...

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