Computer Science and Engineering: Recent submissions

  • On the implementation of internet censorship in India 
    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 ...
  • Dolphin : a cellular voice based internet shutdown resistance system 
    Sharma, Rishi; Chakravarty, Sambuddho (Advisor); Maity, Mukulika (Advisor) (IIIT-Delhi, 2022-07)
    Traditional censorship revolves around blocking access to some websites (or services) over the Internet. However, recently there has been a rise in the events of an extreme form of censorship viz., deliberate Internet ...
  • Text generation for populating semi-structured tables 
    Mehta, Priya; Goyal, Vikram (Advisor); Chakraborty, Tanmoy (Advisor) (IIIT-Delhi, 2021-12)
    Heterogeneous semi-structured tables are commonly used to represent data on the in- ternet. Recent years have seen a flurry of works in tasks that endeavor to comprehend such tabular information, such as table summarization, ...
  • TamilNLP: low resource language processing 
    Singh, Himanshu; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2022-07)
    In this paper, we worked on different aspects like dataset, annotation guidelines, annotation platform, and models to build a complete eco-system, aimed at making significant contributions towards NLP for the Tamil language. ...
  • Automatic table of content generation for educational videos by leveraging multimodal information 
    Meet, Maheshwari; Goyal, Vikram (Advisor); Chakraborty, Tanmoy (Advisor) (IIIT-Delhi, 2021-12)
    Online education platforms have diverse learning content like videos, audio lectures, and technical articles. The major drawback of video-based learning content is the inability to directly access the content of interest ...
  • Exploiting the tradeoff between energy consumption and execution time in mixed cpu-gpu edge-cloud environment 
    Rathee, Ravi; Bhattacharya, Arani (Advisor) (IIIT-Delhi, 2022-06)
    Mobile devices like smartphones can augment their low-power processors by offloading GPU- heavy applications to cloud servers. However, cloud data centers consume a lot of energy and have high latency. To mitigate the ...
  • 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 ...

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