Computer Science and Engineering: Recent submissions

  • Where and what to comment 
    Sharma, Abhinav; Purandare, Rahul (Advisor) (IIIT-Delhi, 2021-05)
    Commenting is described as the process of placing Human Readable Descriptions within a com- puter program/code that summarizes the functionality of the code within which the description is written. The strength of a good ...
  • Students claim processing system 
    Gupta, Abhimanyu; Prasad, Bijendar; Lohan, Shubham; Mohania, Mukesh (Advisor); Goyal, Vikram (Advisor) (IIIT-Delhi, 2022-05)
    The existing system for claim processing at the institute is quite conventional and requires too much human effort. In its current state, the process of managing and approving the claims is completely man-powered with heavy ...
  • Route detection of DTC buses and Delhi pollution analysis 
    Mozumdar, Aaloke; Biyani, Pravesh (Advisor) (IIIT-Delhi, 2022-05)
    The bus location data received by Chartr from DTC does not have information about the route that buses are on at a particular time of the day. This information creates a major hindrance in unifying the data with the location ...
  • Unsupervised meta generative object re-identification 
    Giri, Biman; Subramanyam, A V (Advisor) (IIIT-Delhi, 2022-05)
    Unsupervised domain adaptation severely suffers from huge domain gap in fine grained recognition tasks such as vehicle re-identification (re-id). Existing works either focus on fully unsupervised methods using tracklet or ...
  • An evaluation of multi-user OFDMA performance in WiFi 6 and its optimization for deadline constrained settings 
    Dev, Harshal; Maity, Mukulika (Advisor); Bhattacharya, Arani (Advisor) (IIIT-Delhi, 2021-12)
    IEEE 802.11ax, popularly known as WiFi 6, introduces OFDMA (Orthogonal Frequency Division Multiple Access) that allows multiple users to transmit or receive frames concurrently via a more flexible utilization of the available ...
  • Scalable spatio-temporal arrival time estimation for public transit 
    Dhingra, Karan; Biyani, Pravesh (Advisor) (IIIT-Delhi, 2021-09)
    The problem of the ETA prediction of public transit has an essential role in improving the rider’s experience. While, it is challenging to ensure the timeliness of bus, especially during the rush hours. This thesis provides ...
  • 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 ...

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