DSpace at IIIT-Delhi: Recent submissions

  • Advancing text summarization with conscience, comprehension, and multimodality 
    Kumar, Yash; Goyal, Vikram (Advisor); Chakraborty, Tanmoy (Advisor) (IIIT-Delhi, 2024-01)
    Summarization, an essential technique for efficiently condensing extensive textual content into concise versions, has become increasingly valuable in the face of the information deluge characterizing the modern digital ...
  • Deep learning-based Alzheimer’s disease diagnostics using medical images 
    Seraj, Mohammad; Murugan, N Arul (Advisor); Subramanyam, A V (Advisor) (IIIT-Delhi, 2024-05-01)
    In the ever-evolving landscape of medical innovation, the pursuit of accurate and efficient diagnostic tools for neurodegenerative diseases, notably Alzheimer's, has become increasingly urgent. The relentless progression ...
  • Reducing test time using regression algorithms in post silicon validation 
    Mamodia, Shivani; Subramanyam, A V (Advisor) (IIIT-Delhi, 2020-07-01)
  • Channel-graph regularized correlation filter for visual object tracking 
    Tyagi, Arjun; Subramanyam, A V (Advisor) (IIIT-Delhi, 2020-07-01)
    Correlation filter (CF) based tracker often disregard or weakly incorporate the importance of feature channels as well as channel similarity. To address this, we propose a channel-graph regularization correlation filter-based ...
  • Sinkhorn attacks 
    Chaudhuri, Dibyendu Roy; Subramanyam, A V (Advisor) (IIIT-Delhi, 2021-07-01)
    Adversarial attacks have been extensively investigated in the recent past. Quite interestingly, a majority of these attacks primarily work in the lp space. In this work, we propose a novel approach for generating adversarial ...
  • Unsupervised cross modality person Re-Identification 
    Gupta, Sagar; Subramanyam, A V (Advisor) (IIIT-Delhi, 2020-07-01)
    Unsupervised Person Re-Identi cation (Re-ID) su ers severely from the gap in the modality. Many factors pose a challenge to the task, including occlusions, lightning conditions, pose changes, among several others. Various ...
  • Disentangling reconstruction network for unsupervised cross-domain person Re-Identification 
    Jain, Harsh Kumar; Subramanyam, A V (Advisor) (IIIT-Delhi, 2020-06-01)
    Unsupervised cross-domain Person Re-Identi cation (Re-ID) severely su ers from the domain gap. While di erent works address this issue, bridging domain gap with high-level representation is hard as it comprises of entangled ...
  • On some special classes of additive codes over finite fields 
    Sharma, Sandeep; Sharma, Anuradha (Advisor) (IIIT-Delhi, 2024-05)
    In this thesis, we define and study a new class of additive codes over finite fields, viz. multi-twisted (MT) additive codes, which is a generalization of constacyclic additive codes and an extension of MT (linear) codes ...
  • Deva : one-stop devotional solution for hindus 
    Singh, Aditya; Gupta, Anurag; Chatterjee, Bapi (Advisor) (IIIT-Delhi, 2023-11-29)
    Deva, a pioneering religious technology startup, presents an innovative solution to the evolving needs of Hindu religious practice in the digital age. This report delves into the multifaceted aspects of Deva’s mobile ...
  • Analysis of data serialization overheads 
    Chaurasia, Yashasvi; Rangwani, Vishesh; Shah, Rinku (Advisor) (IIIT-Delhi, 2023-11-29)
    This paper provides an analysis of different serialization libraries on various performance and memory-related metrics. The analysis is done for different scenarios that may occur in a real world setting, in terms of ...
  • Computational creativity using embeddings 
    Pandey, ayan; Arvind, Hiren; Thakkar, Dev; Bagler, Ganesh (Advisor) (IIIT-Delhi, 2023-11-29)
  • Prediction of disease genes using transcription factor binding pattern 
    Vimal, Anand; kumar, Vibhor (Advisor); chandra, Omkar (Advisor) (IIIT-Delhi, 2023-10-29)
    This study presents a novel approach leveraging machine learning techniques to analyze epigenomic and transcription factor binding patterns for the identification of key genes, including non-coding genes, associated with ...
  • Scientific text generation 
    Prasad, Kritarth; Goel, Ujjwal; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2023-11-29)
    The project focuses on controlling text generation through Large Language Models (LLMs) using advanced prompt engineering and knowledge representation. The project aims to improve controllable citation text generation and ...
  • Predicting prediction of probiotic species in the gut using statistical and machine learning 
    Sharma, Aditya Aryan; Harshal; Ghosh, Tarini Shankar (Advisor) (IIIT-Delhi, 2023-11-29)
  • Validation of user's credentials using blockchain 
    Yadav, Pragyan; Duvesh, Deeksha Singh; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2023-11-29)
    The project aims to validate user credentials using blockchain technology, which can help enhance security and trust in the certification process. The platform allows employers to issue certificates to their employees, ...
  • Design thinking for social innovation: the tale of humankind 
    Gupta, Aniket; Grover, Anuj (Advisor); Sharma, Jyoti (Advisor) (IIIT-Delhi, 2023-11-29)
  • Demonstration of federated averaging using zigbee and SDR 
    Singh, Monika; Prasad, Ranjitha (Advisor) (IIIT-Delhi, 2023-11-29)
    Wireless devices, including mobile phones, laptops, autonomous driving, UAT, etc., generate an enormous amount of local data, which could be employed to train machine learning models for decision-making and improve prediction ...
  • TA allocation system 
    Sony, Atyant; Palia, Arnav Kumar; Bansal, Mohit; Gupta, Nikhil; Darak, Sumit Jagdish (Advisor) (IIIT-Delhi, 2023-11-29)
    This report addresses significant challenges in our academic institution's manual Teaching Assistant (TA) allocation process. The current system relies on time-consuming Excel sheets and email-based communication, leading ...
  • Transforming course feedback: personalized opine surveys using language models 
    Shrivastva, Kunal; Tanwar, Henansh; Singh, Rahul; Kumar, Dhruv (Advisor) (IIIT-Delhi, 2023-11-29)
    This B.Tech project at IIIT-Delhi reimagines the traditional course feedback system, ”opine,” by transitioning to a personalized model using Language Models (LLMs). The project is designed for flexibility, allowing easy ...
  • Deciphering the genetic bias underlying in global population for lipid homeostasis 
    Samota, Praveen Singh; Ray, Arjun (Advisor) (IIIT-Delhi, 2023-11-29)
    Maintaining lipid homeostasis, the equilibrium of lipid levels, including fats and cholesterol within cells and organisms, is vital for numerous physiological functions. Disruptions in lipid homeostasis, often spurred by ...

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