IIIT-Delhi Institutional Repository

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Browsing Computer Science and Engineering by Title

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  • Escort bot for the visually challenged 
    Maji, Kartik; Sinha, Shubham; Aggarwal, Taruvar; Singh, Pushpendra (Advisor) (2017-04-30)
    The present invention, generally relates to a navigation aid for visually challenged people, and is essentially an escort bot system and method for providing navigational aid to the visually challenged and senior citizens.
  • An evaluation of multi-user OFDMA performance in WiFi 6 and its optimization for deadline constrained settings 
    Dev, Harshal; Maity, Mukulika (Advisor); Bhattacharya, Arani (Advisor) (IIIT-Delhi, 2021-12)
    IEEE 802.11ax, popularly known as WiFi 6, introduces OFDMA (Orthogonal Frequency Division Multiple Access) that allows multiple users to transmit or receive frames concurrently via a more flexible utilization of the available ...
  • Explainability of black box deep learning models and bias detection 
    Arora, Kushagr; Goyal, Vikram (Advisor) (IIIT- Delhi, 2021-05)
    Explanation of predictions made by black-box deep learning models has been rather challenging, especially when neither the model details nor its training data are known. Various techniques based on shadow-model have been ...
  • Exploiting independent visual and textual data sources to improve multi-modal methods for description and querying of visual data 
    Pal, Ambar; Sharma, Gaurav (Advisor); Arora, Chetan (Advisor) (IIIT-Delhi, 2016-07-18)
    Recent methods on combining textual and visual information using supervised (textual, visual) data have shown encouraging performance. However they are mostly limited to paired (textual, visual) data. We are interested ...
  • Exploiting the tradeoff between energy consumption and execution time in mixed cpu-gpu edge-cloud environment 
    Rathee, Ravi; Bhattacharya, Arani (Advisor) (IIIT-Delhi, 2022-06)
    Mobile devices like smartphones can augment their low-power processors by offloading GPU- heavy applications to cloud servers. However, cloud data centers consume a lot of energy and have high latency. To mitigate the ...
  • Exploiting TLS to disrupt privacy of traffic in web-application 
    Biswas, Sandipan; Sanadhya, Somitra Kumar (Advisor) (2014-05-02)
    The Transport Layer Protocol (TLS) ensures con dentiality and integrity of tra c between communicating parties over internet. Almost all web applications commonly use TLS. A block cipher (such as AES, Camellia etc.) is ...
  • Exploration of gaps in Bitly's spam detection and relevant counter measures 
    Gupta, Neha; Kumaraguru, Ponnurangam (Advisor) (2014-07-10)
    Existence of spam URLs over emails and Online Social Media (OSM) has become a growing phenomenon. To counter the dissemination issues associated with long complex URLs in emails and character limit imposed on various OSM ...
  • 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 ...
  • 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 ...
  • 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 ...

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