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Browsing Computer Science and Engineering by Title

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  • Type your thoughts 
    Kaur, Amandeep; Garg, Deepi; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2022-05)
    In the digital age, being able to type becomes an irreplaceable skill. The project focuses on creating efficient systems that allow people with disabilities below the neck or in the four limbs to type using their head ...
  • Uncanny valley effect : an EEG study 
    Kaur, Gursimran; Arora, Ishaan; Ray, Sonia Baloni (Advisor); Chakrabarty, Mrinmoy (Advisor) (IIIT-Delhi, 2022-05)
    Facial expressions are widely used for interpersonal communication as they reflect the internal affective or emotional state of an individual. Humans are highly dependent on facial cues and expressions to judge the effective ...
  • Uncovering intellectual property threats to language models 
    Singh, Srishti; Goyal, Vikram (Advisor) (2023-11-29)
    The commercial use of Natural Language Processing (NLP) has gained significant popularity in recent years. Many companies train and deploy language models to perform tasks like Sentiment classification, Machine Translation ...
  • Understanding and explaining affective traits in english and code-mixed conversations 
    Kumar, Shivani; Chakraborty, Tanmoy (Advisor) (IIIT-Delhi, 2024-03)
    In the past decade, Natural Language Processing has undergone a transformative journey, marked by profound changes. The realm of conversational discourse, in particular, has witnessed remarkable advancements, with contemporary ...
  • Understanding covid-19 strain emergence in the light of mobility patterns 
    Dudeja, Hardik; Modi, Meet; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2022-12)
    In response to the Covid 19 pandemic, countries have sought to control the spread through restricting population movement and social distancing protocols. It was found that with the decrease in mobility of the people, the ...
  • Understanding Indian driver behavior for autonomous vehicle path planning 
    Deka, Namrata; Kaul, Sanjit Krishnan (Advisor); Anand, Saket (Advisor) (2017-04-18)
    This report outlines my work in continuation to last semester on understanding human behavior when it comes to driving on Indian streets. Since traffic in India is not governed by lane-markings, zebra crossings and proper ...
  • Understanding online protests : unveiling strategies, collective narratives, and harmful behaviors 
    Neha, Kumari; Buduru, Arun Balaji (Advisor); Kumaraguru, Ponnurangam (Advisor) (IIIT-Delhi, 2024-02)
    Protests (or movements) are a form of collective sociopolitical action in which mem- bers with similar beliefs express their objections to a cause or situation. Often, a heated debate during protests on social media, such ...
  • Understanding the digital dynamics of minority rights movements: case study #antiCAA Protests in India and #BlackLivesMatter in the USA 
    Jhalani, Paarmita; Sinha, Karishma; Khan, Aasim (Advisor); Mukherjee, Payel C (Advisor) (IIIT-Delhi, 2021-06)
    Protest movements have swept up in different parts of the world. In recent times, the #antiCAA protests in India and the #BlackLivesMatter protests in the USA have gained publicity and momentum as they witnessed major ...
  • Understanding the digital technology use amongst LGBTQ+ adults in India for well-being 
    Singh, Divyanshu Kumar; Suri, Venkata Ratnadeep (Advisor); Shukla, Jainendra (Advisor) (IIIT- Delhi, 2021-05)
    A growing body of research work exploring the experience of LGBTQ+ individuals involving digital technology has gained traction in HCI and CSCW in recent years. However, a significant amount of such work has been conducted ...
  • Understanding the effect of positioning on mobile sensor data and its impact on applications 
    Saxena, Garvita; Singh, Pushpendra (Advisor) (IIIT-Delhi, 2020)
    Most sensor based mobile phone applications like navigation systems, pothole detection, pedometers, traffic detection, etc. rely on the strict and stable positioning of the mobile phone at a particular place throughout ...
  • Understanding the role of active scans for their better utilization in large-scale wifi networks 
    Jaisinghani, Dheryta; Naik, Vinayak (Advisor); Kaul, Sanjit Krishnan (Advisor) (IIIT-Delhi, 2019-04)
    A WiFi client needs to discover access points (APs) in its vicinity before it can establish a WiFi connection and initiate a data transfer. Discovery is also essential for a client to stay connected to an AP deemed best ...
  • Unit test generation using LLMs: a comparative performance analysis of autogeneration tools 
    Gandhi, Tarushi; Jalote, Pankaj (Advisor) (IIIT-Delhi, 2023-11-29)
    Generating unit tests is a crucial undertaking in software development, demanding substantial time and effort from programmers. The advent of Large Language Models (LLMs) introduces a novel avenue for unit test script ...
  • 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 ...
  • Unraveling representations for face recognition : from handcrafted to deep learning 
    Goswami, Gaurav; Singh, Richa (Advisor); Vatsa, Mayank (Advisor) (IIIT-Delhi, 2018-11)
    Automatic face recognition in unconstrained environments is a popular and challenging research problem. With the improvements in recognition algorithms, focus has shifted from addressing various covariates individually to ...
  • Unsupervised domain adaptation for semantic segmentation 
    Singhal, Ojus; Anand, Saket (Advisor); Agarwal, Sharat (Advisor) (IIIT-Delhi, 2023-11-27)
    Unsupervised domain adaptation (UDA) has emerged as a vital research area in the field of machine learning and computer vision. It addresses the challenge of adapting models trained on a labeled source domain to perform ...
  • Unsupervised learning of low rank subspace projection using graph embedding 
    Jain, Kshitiz; Priysha; Subramanyam, A V (Advisor) (IIIT-Delhi, 2020-05-28)
    Subspace learning has often been explored for various applications such as dimensionality reduction, denoising, clustering and feature extraction among others. However, low rank subspace learning for clustering as well ...
  • 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 ...
  • Unsupervised pre-trained vitals signals embeddings for fine-tuned prognostication: a multi resolution approach 
    Sheoran, Ashwin; Patil, Vedant; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2023-11-29)
    The project introduces an innovative method for predicting shock in ICU patients by leveraging unsupervised pre-trained embeddings from vital signs. Utilizing the extensive eICU and MIMIC datasets, the research focuses on ...
  • Unsupervised pre-trained vitals signals embeddings for fine-tuned prognostication: a multi-resolution approach 
    Sheoran, Ashwin; Patil, Vedant; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2023-11-29)
    The project introduces an innovative method for predicting shock in ICU patients by leveraging unsupervised pre-trained embeddings from vital signs. Utilizing the extensive eICU and MIMIC datasets, the research focuses on ...
  • UP-Hist Tree : efficient data structure for high utility pattern mining from transaction databases 
    Goyal, Vikram; Dawar, Siddharth (2015-02-11)
    High-utility itemset mining is an emerging research area in the field of Data Mining. Several algorithms were proposed to find high- utility itemsets from transaction databases and use a data structure called UP-tree ...

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