IIIT-Delhi Institutional Repository

Browsing Computer Science and Engineering by Title

Browsing Computer Science and Engineering by Title

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  • 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 ...
  • 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 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. ...
  • 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 ...
  • Fingerphoto authentication in an unconstrained environment 
    Chopra, Shaan; Vatsa, Mayank (Advisor); Singh, Richa (Advisor); Malhotra, Aakarsh (Advisor) (IIITD-Delhi, 2019-01-22)
    Biometrics based user authentication is rather popular in mobile devices using face and fingerprints as the primary modalities. Fingerphoto (an image of a person’s finger captured using an inbuilt smartphone camera) based ...
  • Fingerprinting fine-tuned language models in the wild 
    Diwan, Nirav; Chakravorty, Tanmoy (Advisor) (IIIT- Delhi, 2021-05)
    There are concerns that the ability of language models (LMs) to generate high quality synthetic text can be misused to launch spam, dis-information, or propaganda. Therefore, the re-search community is actively working on ...
  • Firewall for internet of things 
    Sengupta, Srishti; Gupta, Naman; Naik, Vinayak (Advisor) (2017-04-18)
    With the advent of the Internet of things, privacy and security of sensitive data has become a major concern. IoT devices generate a lot of data, and we need this data to go over the Internet in a secure manner. To solve ...

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