DSpace at IIIT-Delhi: Recent submissions

  • 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. ...
  • Information Sharing in Multi Agent Systems 
    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 ...
  • Traffc analysis through GPS data 
    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 ...
  • Sentiment analysis of news and social-media for creating trading strategies 
    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 ...
  • Non-linear editing 
    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 ...
  • Post disaster wireless communication 
    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 ...
  • Universal face detection 
    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 ...
  • Self learning chat bot to answer frequently asked questions from teachers 
    Mittal, Vrinda; Agarwal, Abhishek; Udandarao, Vishaal; Gupta, Anubha (Advisor); Chakraborty I, Tanmoy (Advisor) (IIITD-Delhi, 2019-04-15)
    The ability to create and sustain educational infrastructure is a major challenge faced by nations across the world. Today, information technology is increasingly being used to alleviate this problem by bridging the gap ...
  • Guillotine cuts & pattern avoidance in permutations 
    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 ...
  • Deep mean shift clustering 
    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 ...
  • Detection of content-level collusive activities in online social networks 
    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 ...
  • Machine learning in cancer genomics 
    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 ...
  • A combinatorial algorithm for fault tolerant k-median clustering on a line metric 
    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 ...
  • 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. ...
  • Newsbag: a benchmark dataset for fake news detection 
    Jindal, Sarthak; Vatsa, Mayank (Advisor); Singh, Richa (Advisor) (IIITD-Delhi, 2019-04-15)
    The spread of fake news poses a serious problem in today’s world where the masses consume and produce news using online platforms. One main reason why fake news detection is hard is the lack of ground truth database for ...
  • Co-Designing CNN & FPGA architectures using compression techniques for classifi cation & detection networks. 
    Goel, Pulkit; Anand, Saket (Advisor); Fell, Alexander (Advisor) (IIITD-Delhi, 2019-04-28)
    Deep learning neural networks have revolutionized the elds of Computer Vision, Robotics, Artifi cial Intelligence. However, these State of the art algorithms come at a high computational cost, huge memory requirements and ...
  • Adversary detection tool 
    Goel, Akhil; Singh, Anirudh; Vatsa, Mayank (Advisor); Singh, Richa (Advisor) (IIITD-Delhi, 2019-04-30)
    Extensive research on attacks on deep learning models has shown that these models are not as robust as they seem. A carefully designed low magnitude perturbation is enough to cause havoc and completely confuse the model. ...
  • Traffic and congestion analysis using online mapping services 
    Dantu, Subramanyam; Goyal, Tanmay; Jain, Varnit; Jalote, Pankaj (Advisor) (IIITD-Delhi, 2019-04-25)
    Traffic congestion is a major concern in highly populated metropolitan cities like Delhi, Bangalore, Hyderabad, etc. In developing countries like India, most of the traffic management is done manually. While building better ...
  • KinshipGAN : generating kin images 
    Sinha, Raunak; Vatsa, Mayank (Advisor); Singh, Richa (Advisor) (IIITD-Delhi, 2019-04-29)
    Automatic kinship verifi cation using face images involves analyzing features and computing similarities between two input images to establish kin-relationship. It has gained signi cant interest from the research community ...
  • Game design and procedural asset creation in unreal and houdini 
    Rattey, Hemant; Prashant; Moyers Jr., Timothy Scott (Advisor) (IIITD-Delhi, 2019-11-26)
    Making games is a comparatively new eld which demands technical as well as creative ability. Game Development is increasingly becoming popular among millennials. Developing a game involves designing the levels, programming ...

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