Computer Science and Engineering: Recent submissions

  • Detection of doctored speech : towards an end-to-end parametric learn-able filter approach 
    Arora, Rohit; Anand, Saket (Advisor); Mohan, Aanchan (Advisor) (IIIT-Delhi, 2022-05)
    The Automatic Speaker Verification (ASV) systems have potential in biomet- rics applications for logical control access and authentication. A lot of things happen to be at stake if the ASV system is compromised. The questions ...
  • User-centric power optimization in smart home environments 
    Gupta, Saurabh; Buduru, Arun Balaji (Advisor); Kumaraguru, Ponnurangam (Advisor) (IIIT-Delhi, 2022-07)
    Rapid advancements in the Internet of Things (IoT) have facilitated efficient de- ployments of smart environment solutions for specific user requirements. With the increase in the number of IoT devices, it has become ...
  • Information extraction in user's complaints 
    T G, Narayanan; Akhtar, Md. Shad (Advisor) (IIITD, 2022-08)
    The task of Named Entity Recognition is one of the most explored fields in the Natural Language Processing domain. Numerous existing works have tried to uncover different aspects of this common yet unique field. The NER ...
  • A sketch-based approach towards scalable and efficient attributed network embedding 
    Chakraborty, Tapadeep; Bera, Debajyoti (Advisor) (IIIT-Delhi, 2021-12)
    With the advent of big data, graphs have gained popularity as one of the most efficient data storage mechanisms. A graph can not only capture relationships between entities, but it can also store attributes associated with ...
  • A comprehensive understanding of code-mixed language semantics using hierarchical transformer 
    S, Tharun; Akhtar, Md. Shad (Advisor); Chakraborty, Tanmoy (Advisor) (IIIT-Delhi, 2022-05)
    Being a popular mode of text-based communication in multilingual communities, code-mixing in online social media has became an important subject to study. Learn- ing the semantics and morphology of code-mixed language ...
  • Analysing long egocentric videos 
    Nagar, Pravin; Arora, Chetan (Advisor) (IIIT-Delhi, 2023-02)
    Egocentric videos are recorded in a hands-free, always-on, under enhanced privacy-sensitive scenario and are often collected from day to weeks. For efficient consumption, such videos require robust video analysis techniques ...
  • Regularized ensemble correlation filter tracking 
    Jain, Monika; Subramanyam, A V (Advisor) (IIIT-Delhi, 2022-06)
    Correlation Filter based visual trackers have demonstrated tremendous progress in object tracking. These trackers primarily use hierarchical features learned from multiple layers of a deep network. However, issues related ...
  • Dictionary based time series modelling 
    Sharma, Shalini; Majumdar, Angshul (Advisor) (IIIT-Delhi, 2022-09)
    Time series analytics is the practice of determining future values of correlated signals. In seminal works, time series were modeled using classical techniques such as ARMA (autoregressive moving average), and its variants ...
  • Predicting tropical cyclone formation and its landfall’s characteristics 
    Kumar, Sandeep; Pandey, Ashish Kumar (Advisor) (IIIT-Delhi, 2022-10)
    Disaster risk reduction is integral to social and economic development as per the 2030 Agenda of Sustainable Development. Among all the natural disasters, storms and floods have significant contributions in terms of their ...
  • Investigating computational techniques for micro-level and macro-level transportation problems on urban road networks 
    Kaur, Ramneek; Goyal, Vikram (Advisor); Gunturi, Venkata M. Viswanath (Advisor) (IIIT-Delhi, 2022-06)
    Transportation is a fundamental task in modern-day civilization. Examples of transportation in our daily lives include going to the workplace, returning home after work, etc. In this thesis, we investigate computational ...
  • Trustworthy facial analysis with scarce and biased data 
    Nagpal, Shruti; Vatsa, Mayank (Advisor); Singh, Richa (Advisor) (IIIT-Delhi, 2022-09)
    Face is one of the least invasive biometric modalities, and has been used as physical signature to perform person recognition. Face recognition has widespread applicability in various domains such as surveillance, access ...
  • Intelligent camera selections in a camera network 
    Sharma, Anil; Anand, Saket (Advisor); Kaul, Sanjit Krishnan (Advisor) (IIIT-Delhi, 2022-07)
    Surveillance camera networks are a useful monitoring infrastructure dat can be used for various visual analytics applications, where high-level inferences and predictions could be made based on target tracking across teh ...
  • Performance-aware design-space optimization and attack mitigation for emerging heterogeneous architectures 
    Sinha, Mitali; Deb, Sujay (Advisor) (IIIT-Delhi, 2022-04)
    In recent years, as multi-core processors are emerging as a solution to the limitations of power scaling, the software domain is also experiencing a surge of compute and data-intensive applications. These applications are ...
  • HostileNet: multi-label hostile post detection in Hindi 
    Bhardwaj, Mohit; Chakraborty, Tanmoy (Advisor); Akhtar, Md. Shad (Advisor) (IIIT- Delhi, 2021-07)
    The swift escalation in hostile content on the web and specifically on Online Social Media (OSM) has lately become a matter of concern that we must tackle. The situation worsens to a whole different level with recent events ...
  • Forecasting hate intensity of reply threads on twitter 
    Snehil; Chakraborty, Tanmoy (Advisor); Akhtar, Md. Shad (Advisor) (IIIT- Delhi, 2021-07)
    Curbing hate speech is undoubtedly a major challenge for online microblogging platforms like Twitter. While there have been studies around hate speech detection, it is not clear how hate speech finds its way into an online ...
  • Multimodal sarcasm explanation 
    Desai, Poorav; Akhtar, Md. Shad (Advisor); Chakraborty, Tanmoy (Advisor) (IIIT- Delhi, 2021-08)
    Sarcasm is a pervading linguistic phenomenon and highly challenging to explain due to its subjectivity, lack of context and deeply-felt opinion. In the multimodal setup, sarcasm is conveyed through the incongruity between ...
  • Analysing social media for COVID positive cases 
    Singhal, Sonali; Pandey, Tanisha; Kumaraguru, Ponnurangam (Advisor); Shah, Rajiv Ratn (Advisor) (IIIT- Delhi, 2020-05)
    The COVID19 pandemic, a public health emergency which broke out globally in December 2019 and is still going on, has put us all into an unprecedented situation where there are strict limitations on physical social interaction ...
  • 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. ...
  • Emoji analysis: a study on the use of skin tone modifiers on social media 
    Bansal, Tanmay; Kumaraguru, Ponnurangam (Advisor) (IIIT- Delhi, 2020-12)
    In 2015, Unicode introduced five different skin tone modifiers, that could be applied to the existing emojis that denoted humans. In this project, we analyze how people pose certain personalities using emoji skin colour ...
  • Bot analysis on social media 
    Caur, Samiya; Kumaraguru, Ponnurangam (Advisor) (IIIT- Delhi, 2021-05)
    Ever since the 2014 Lok Sabha election, social media platforms such as Twitter, Facebook etc.have become a vital part of election campaigns in India with political parties investing heavily in the expansion of their ...

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