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  • Goel, Atharv; Singh, Jyotirmaya; Anand, Saket (Advisor) (IIIT-Delhi, 2023-11-29)
    This thesis undertakes a comprehensive exploration of object detection technologies with a particular emphasis on their application in autonomous driving and related application settings. The research delves into 2D and ...
  • Gupta, Srishti; Kumaraguru, Ponnurangam (Advisor) (2013-12-03)
    The awareness and sense of privacy has increased in the minds of people over the past few years. Earlier, people were not very restrictive in sharing their personal information, but now they are more cautious in sharing ...
  • Prakash, Pragya; Vatsa, Mayank (Advisor); Singh, Richa (Advisor) (IIIT-Delhi, 2020-05-25)
    Transfer learning is widely used for many applications, but it is difficult to adapt intermediate layers of the network to a new learning task with less data available. Learning the importance that key connections play ...
  • Ghosh, Soumyadeep; Vatsa, Mayank (Advisor); Singh, Richa (Advisor) (IIIT-Delhi, 2023-03)
    Face recognition under controlled and constrained scenarios have reached a significant level of maturity with respect to performance and reliability. However, under unconstrained and un controlled settings, current ...
  • Singh, Mridula; Kaul, Sanjit Krishnan (2014-07-04)
    While the density of access points in enterprise settings has increased, the sharing of the spatial resource amongst links in 802:11 wireless local area networks remains ine cient. Conservative mechanisms based on a ...
  • Sankaran, Anush; Vatsa, Mayank; Singh, Richa (2012-03-14)
    Simultaneous latent fingerprints are a cluster of latent fingerprints that are concurrently deposited by the same person. Though ACE-V methodology provides the scientific basis for matching latent fingerprints, extending ...
  • Sharma, Sandeep; Sharma, Anuradha (Advisor) (IIIT-Delhi, 2024-05)
    In this thesis, we define and study a new class of additive codes over finite fields, viz. multi-twisted (MT) additive codes, which is a generalization of constacyclic additive codes and an extension of MT (linear) codes ...
  • Yadav, Monika; Sharma, Anuradha (Advisor) (IIIT-Delhi, 2024-05)
    Self-orthogonal codes, self-dual codes, and linear codes with complementary duals (LCD codes) constitute the three most important and well-studied classes of linear codes. These codes have nice algebraic structures and are ...
  • Goel, Shivani; Chaubey, Sneha (Advisor) (IIIT-Delhi, 2024-05)
    While studying the trigonometric series expansion of certain arithmetic functions, Ramanujan, in 1918, defined a sum of the nth power of the primitive qth roots of unity and denoted it as cq(n). These sums are now known ...
  • Singh, Kartikey; Chakravarty, Sambuddho (Advisor) (IIIT-Delhi, 2022-07)
    In this work we highlight the evolution of Internet censorship within the largest democracy i.e., India. We first report a new form of Internet censorship i.e., mobile app blocking and describe in detail the mechanics ...
  • Garg, Surabhi; Chang, Donghoon (Advisor) (IIIT-Delhi, 2021-06)
    The biometric systems are widely deployed in various sectors for authentication purposes– India’s Aadhaar project (a multi-biometric database of above 1.3 billion of India’s population) being the prominent example. The ...
  • Sanyal, Souradip; Ghatak, Gourab (Advisor) (IIIT-Delhi, 2021-12)
    This thesis introduces the Binomial Line Process (BLP) and then Binomial Line Cox Process (BLCP) based on BLP, a novel spatial stochastic model for the charac- terization of streets in the statistical evaluation of wireless ...
  • Dhankar, Hemant; Jaiswal, Nitesh; Saxena, Vaibhav; Mohania, Mukesh (Advisor) (IIIT-Delhi, 2022-05)
    Workflows are part of our daily life. Every process has a workflow. By automating these workflows and making them digital results in time saving, less human resource cost and error free data. IRD at IIITD has various ...
  • Ramanathan, Varun; Raman, Rajiv (Advisor) (IIIT-Delhi, 2020-06-01)
    Traditionally, algorithms try to find the optimal solution for a problem in a “three-phase” approach: fetch the input, run the algorithm, output the solution. But recently, there has been an interest in understanding ...
  • Aggarwal, Aayush; Das, Syamantak (Advisor) (IIIT Delhi, 2020-06-06)
    We are given a bipartite graph G(R, S, E) (|R| = |S|), where R denotes the set of requests and S being the set of servers. The requests R (given by an adversary) arrive sequentially along with their distances to each of ...
  • Karwasara, Lakshya; Roy, Sayan Basu (Advisor) (IIIT-Delhi, 2023-11-29)
    Federated learning (FL) is a popular framework for training a model in a distributed setting, where the data is spread over a network of devices. In traditional FL, the devices communicate with a central server to share ...
  • Garg, Aditya; Kumar, Jatin; Singh, Smriti (Advisor) (IIIT-Delhi, 2023-11-29)
    Online gaming has transcended its status as a recreational activity to become a pervasive cultural force in recent decades, attracting the attention of scholars who have meticulously examined its qualitative and quantitative ...
  • Arora, Shivoy; Das, Syamantak (Advisor) (IIIT-Delhi, 2023-11-29)
    This thesis explores the dynamics of online algorithms, with a focus on the List Update Problem in online optimization. Our study revolves around the analysis of various algorithmic strategies, under the frameworks of ...
  • Marwah, Ishaan; Seth, Ritesh; Das, Syamantak (Advisor) (IIIT-Delhi, 2023-11-29)
    This report addresses the problem of online metric matching. In this scenario, a group of servers is situated within a metric space, and requests continuously arrive over time in an unpredictable manner. The objective is ...
  • Walia, Angel; Eden, Grace (Advisor) (2020-12)

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