DSpace at IIIT-Delhi: Recent submissions

  • Chawla, Mohit; Singh, Richa (Advisor); Vatsa, Mayank (Advisor) (IIIT-Delhi, 2019-07)
    With the increased interest in face recognition across di erent applications, the research in this area has ourished over the past few decades. However, face recognition with disguise variations has gained little ...
  • Aggarwal, Himanshu; Shah, Rajiv Ratn (Advisor); NII, Yi Yu (Co-Advisor) (IIIT-Delhi, 2019-07)
    With a massive amount of online multimedia data (e.g., images, videos, text articles, etc.) and increasing needs of the people, venue discovery using multimedia data has become an underlined research topic. We are referring ...
  • Vishwakarma, Shelly; Ram, Shobha Sundar (Advisor) (IIIT-Delhi, 2020-02)
    Indoor radars have been researched and developed to detect and monitor humans for applications that range from law enforcement, security and surveillance purposes to ubiquitous sensing applications such as smart home or ...
  • N., Nalla Anandakumar; Sanadhya, Somitra Kumar (Advisor); Hashmi, Mohammad S. (Advisor) (IIIT-Delhi, 2019-09)
    Internet of Things (IoT) is a vast and rapidly growing technology right now in the world of innovation. Billions of new electronic devices are going to be connected to the internet in wide-ranging applications. With this ...
  • Maggu, Jyoti; Majumdar, Angshul (Advisor) (IIIT-Delhi, 2019-12)
    Conventional dictionary learning is a synthesis formulation; it learns a dictionary to generate/synthesize the data from the learned coefficients. Transform learning is its analysis equivalent. The transform analyzes ...
  • Mehrish, Ambuj; Subramanyam, AV (Advisor) (IIIT-Delhi, 2019-12)
    The remarkable evolution of digital imaging techniques, processing and sharing in the past decades has spurred the penetration of multimedia into our lives. Unaccountable and ubiquitous use of multimedia brings severe ...
  • Jain, Milan; Singh, Amarjeet (Advisor); Chandan, Vikas (Advisor) (IIIT-Delhi, 2019-03)
    In buildings, air conditioning consumes a significant proportion of the aggregate electricity bill. Specifically, in residential and small-scale commercial buildings, people prefer to use room-level ACs (AC stands for Air ...
  • Gaur, Megha; Majumdar, Angshul (Advisor) (IIITD-Delhi, 2019-10-01)
    The rapidly growing demand for energy poses one of the biggest challenges in our society. This challenge is critical not just for the power utilities but also for the environment as it leads to increased carbon footprint ...
  • EATM 
    Pruthi, Parikshit Kumar; Girsa, Rajan; Butta, Shubhankar R.; Biyani., Pravesh (Advisor) (IIITD-Delhi, 2019-11)
    EATM is an automated vending machine that uses several machine learning and computer vision techniques for object detection. It is a similar model to Amazon Go and uses mainly camera and RF system for object detection. ...
  • Pai, Sharan; Sujit, PB (Advisor) (IIITD-Delhi, 2019-11)
    To investigate the effcacy of Information Sharing Schemes in Decentralized Multi-Agent Systems. We mainly focused on a Multi-Agent framework for Multi-Task Learning and then moved to Information sharing with Experience-based ...
  • Kumar, Avdesh; Balodi, Saumya; Biyani, Pravesh (Advisor) (IIITD-Delhi, 2019-07-01)
    Public transport is one of the major forms of transportation in the world. This makes it vital to ensure that public transport is efficient. The paper presents an approach to reduce the waiting time of Delhi buses by ...
  • Kataria, Tushar; Agarwal, Vasu; Chakraborty, Tanmoy (Advisor) (IIITD-Delhi, 2018-11-26)
    The problem of stock market predictability has intrigued both academia and industry. In this thesis, we try to empirically predict the stock market using models from deep natural language processing. We review existing ...
  • Sheoran, Aashanvit; Chaudhary, Abhishek; Singh, Robin; Kumar, Yogesh; Khushlani, Manohar (Advisor) (IIITD-Delhi, 2018-07-07)
    There is a social dilemma in which men have been hurting women in ways which is not being taken care of. Therefore through this report, we will be shedding some light on different and fascinating ways like how and what ...
  • Kumar, Rajesh; Sujit, PB (Advisor) (IIITD-Delhi, 2019-11-26)
    We had seen many natural and human-made disasters like Tsunami In Chennai in December 2015 and cyclone storm ‘Hudhud’ in 2014 in North Indian Ocean. Which caused substantial damage to cellular network infrastructure and ...
  • Balasubramanian, Ajay; Vatsa, Mayank (Advisor); Singh, Richa (Advisor) (2019-01)
    Object Detection is a fundamental problem in Computer Vision. Face Detection is an important and intriguing type of object detection that is being extensively used in day-to-day activities like in video surveillance, online ...
  • Jain, Siddhartha; Raman, Rajiv (Advisor); Ram, Samrith (Advisor) (IIITD-Delhi, 2019-04-15)
    Given a set of axis-parallel rectangles on a plane, can you cut out a constant fraction of them using only Guillotine cuts? We try to answer this question in the project. The general problem of cutting out convex sets was ...
  • Madaan, Pulkit; Maiti, Abhishek; Anand, Saket (Advisor); Mittal, Sushil (Advisor) (IIITD-Delhi, 2019-04-15)
    We use Mean Shift clustering in the latent space of an auto-encoder to have a better representation of the data and a more structured latent space. Instead of just using the mode of the distribution calculated using kernel ...
  • Chetan, Aditya; Joshi, Brihi; Chakraborty, Tanmoy (Advisor) (IIITD-Delhi, 2019-04-15)
    Twitter, as a micro-blogging service has been increasingly used to express opinions, promote brands and share news. Often, the popularity of a tweet is denoted by how other users of the platform are reacting to it. Retweets ...
  • Gupta, Taejas; Gupta, Anubha (Advisor) (IIITD-Delhi, 2019-04-28)
    Cancer is caused by an increased amount of cell growth in an area due to alterations in protein synthesis caused by mutations in certain genes known as cancer driver genes. Determining the gene regulatory network for the ...
  • Anderson, Nihesh; Arora, Kushagra; Raman, Rajiv (Advisor); Das, Syamantak (Advisor) (IIITD-Delhi, 2019-04-15)
    Given a metric space X, a set of clients C X, and a set of facilities F X, such that X = F S C. the fault-tolerant k-median problem (FTM) requires to open k facilities in F so as to minimize the sum of distances from each ...

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