Browsing Year-2021 by Title

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  • Singh, Pragya; Eden, Grace (Advisor) (IIIT-Delhi, 2021-11)
    Dark patterns are user interfaces that are purposefully designed to manipulate users into taking certain actions in order to benefit a company or an organisation and are not in the user’s best interest. This report documents ...
  • Thulasidoss, Bharath Kumar; Garimella, Pavan Kumar; Sethi, Tavpritesh (Advisor); Kumaraguru, Ponnurangam (Advisor) (IIIT- Delhi, 2021-05)
    In an era where the volume of data sets for a particular topic keeps increasing, it is necessary to have quality checks on the data to keep it relevant to modern learning algorithms. Quality parameters provide an objective ...
  • Mehrotra, Pragyan; Shah, Rajiv Ratn (Advisor); Kumar, Rajesh (Advisor) (IIIT-Delhi, 2021-12)
    Previous studies have demonstrated that commonly studied (vanilla) touch-based continuous authentication systems (V-TCAS) are susceptible to population attack. This paper proposes a novel Generative Adversarial Network ...
  • Somannagari, Neha Reddy; Sethi, Tavpritesh (Advisor) (2021-05)
    Health care systems all around the world have an ever-growing burden of intensive care on them. Complications such as sepsis, organ failure and shock contribute to a large portion of the deaths. However they can be treated ...
  • Kochar, Adwit Singh; Bansal, Pabitra; Singh, Rahul; Agrawal, Yashwin; Deb, Sujay (Advisor) (IIIT-Delhi, 2021-12)
    Critical health parameters such as SpO2 and Blood Pressure play a massive role in determining a person’s health condition, and hence their tracking and monitoring are essential. Currently, the problem with health monitoring ...
  • Vashisht, Piyush; Gupta, Anubha (Advisor) (IIIT- Delhi, 2021-05)
    The analysis of flow cytometry data requires identification of cell clusters. This clustering is done manually by applying gating techniques and by analyzing the plot scatter across each dimension. Since all of this is ...
  • Narayan, Vrinda; Shukla, Jainendra (Advisor) (IIIT-Delhi, 2021-12)
    Early diagnosis of autism and reception of intervention at key developmental stages of the child are found to have long-term e ects in development of social and cognitive skills in Children with Autism (CWA). Lack of ...
  • Monga, Sargam; Mohania, Mukesh (Advisor); Mondal, Anirban (Advisor) (IIIT-Delhi, 2021-12)
    Starting from the location of the desired destination, how far it is or other tourism services around the destination to the booking of various travel services and accommodation, GIS along with the power of information ...
  • Sahoo, Piyush Ranjan; Rajoria, Romesh; Darak, Sumit J. (Adviosr); PAU, Danilo (Advisor) (IIIT- Delhi, 2021-05)
    With recent advancements in AI algorithms, data processing for AI applications is primarily done in a cloud-based data center with deep-learning models that require massive computing capacity. The decision-making process ...
  • Prasad, Chirayu; Anki, Apratim; Pushpraj; Ratn, Anoop (Advisor) (IIIT- Delhi, 2021-05)
    Animation has become an exciting medium for storytelling. It is a field where creativity can be expressed in many ways. 2D Animation is a field where stories can be expressed in ways that one deem to be unrealistic. With ...
  • 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 ...
  • 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. ...
  • 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 ...
  • Singh, Abhishek Pratap; Mitra, Abhijit (Advisor); Srivastava, Anand (Advisor) (IIIT-Delhi, 2021-05)
    The extensive growth in the demand for network bandwidth has created new challenges for net- work operators in the last few years. Traditional optical network technology is no longer enough to handle the massive bandwidth ...
  • Gupta, Devansh; Chhabra, Parth; Anand, Saket (Advisor); Kalyanaraman, Kaushik (Advisor) (2021-11)
    In machine learning, disentangling factors of variation lead to robust latent space representations and improve the efficacy of various downstream tasks like classification, prediction etc. Disentangling representations ...
  • Singhal, Anmol; Oberoi, Tejas; Shah, Rajiv Ratn (Advisor) (IIIT- Delhi, 2021-05)
    In recent years, researchers have started putting in extensive efforts for Natural Language Pro- cessing (NLP) in the context of Indic Languages like Hindi. Tasks like Spell and Grammar Correction, which have been ...
  • Saini, Sakshi; Mutharaju, Vijaya Raghava (Advisor); Bhatia, Sumit (Advisor) (IIIT-Delhi, 2021)
    In Semantic Web languages, such as RDF and OWL, a binary relation is represented by the property, which links two entities or Individuals. Binary relations cannot be used to capture the relation between more than two ...
  • Singh, Dashmesh; Gautam, Gaurav; Sarda, Vaibhav; Ali, Adnan; Singh, Pushpendra (Advisor) (IIIT-Delhi, 2021-05)
    ERP is an integral system in our Institute for managing academic data pertaining to students and professors. The current ERP system has certain issues in functionality, usability concerns, redundancies. We propose to ...
  • Gautam, Dibya; Agrawal, Navneet (IIIT-Delhi, 2021-11)
    Keyphrase extraction is the task of automatically extracting a set of phrases from a document that represents the overall context of the given document. Such keyphrases can be used in multiple ways in Information retrieval, ...
  • Verma, Arsh; Gupta, Anubha (Advisor); Arora, Chetan (Advisor); Balakrishnan, M. (Advisor) (IIIT- Delhi, 2021-05)
    Scene Text Recognition (STR) refers to the task of recognition of text in natural scenes. The success of OCR models is hard to achieve on natural scene images due to a variety of challenges, including - variation in ...

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