Federated learning (FL) enables collaborative model training across distributed clients while preserving data privacy. However, the choice of optimizer on both the client and server sides significantly impacts training ...
This thesis explores advanced techniques in the field of audio spoofing detection. With the emergence of high-quality deepfake generation techniques and the vulnerabilities in automatic speaker verification (ASV) systems, ...
Motion forecasting of surrounding agents is fundamental for autonomous systems navigating complex, dynamic environments. This capability enables autonomous vehicles and robots to anticipate the future trajectories of ...
The increasing demand for live online classes, especially in remote and underserved areas, underscores the importance of providing a seamless and high-quality experience to support effective learning. These real-time, ...
Pandey, Anupma; Raghava, Gajendra Pal Singh (Advisor)(IIIT-Delhi, 2025-06-01)
The original CBTOPE method, introduced in 2009, was one of the first approaches for predicting conformational B-cell epitopes using only protein sequence information. While it has been widely adopted in the scientific ...
Tables are the most common form of structured data found in documents. Proper interpretation of such raw tabular data by computer systems remains an open challenge. We take a deep dive into document intelligence - which ...
Siddiqui, Abu Osama; Subramanyam, A V (Advisor)(IIIT-Delhi, 2025-05-21)
Understanding a video from concise summaries is of great importance for various applications such as browsing, retrieval and assistive technologies. In this work, we present unsupervised summarization of videos. Video ...
Mental health issues are now the leading global cause of disability, with conditions such as anxiety and depression escalating, particularly following the COVID-19 pandemic. However, traditional mental health support methods ...
We address the development of explainable Question Answering (QA) systems for Indic languages, focusing on the unique challenges posed by resource scarcity and the complexities of multilingual processing. The research ...
The United Nations Sustainable Development Goal 3.7 promotes universal access to sexual and reproductive healthcare services, including family planning, information, and education. India has a dedicated National Programme ...
Ansari, Bushra; Biswas, Sanat Kumar (Advisor)(IIIT-Delhi, 2025-08-27)
The developments in Global Navigation Satellite Systems (GNSS) and Regional Navigation Satellite Systems(RNSS) have given rise to various application areas beyond the conventional Positioning, Navigation and Timing (PNT) ...
Despite our best efforts, tackling hate speech remains an elusive issue for researchers and practitioners alike. What can be considered hateful is subject to context, time, geography, and culture. This poses a challenge ...
Large Language Models (LLMs) have transformative capabilities but limited application in specialized educational and research contexts requiring multimodal reasoning, context-aware processing, and domain-specific understanding. ...
Communication, as a system of messages, symbols, and cultural exchanges, is ubiquitous across all species. Scholars have argued that communication represents one of the most transformative evolutionary transitions in life’s ...
The spread of misinformation on social media platforms endangers public discourse and societal trust. Addressing this issue requires robust mechanisms for identifying and verifying the accuracy of information circulated ...
The global recognition around the transformative potential of Information and Communication Technologies (ICTs) highlights their crucial role in shaping and enriching critical aspects of human development. Along-side this ...
Relation extraction is the task of extracting relationships between entities from text, where the text can be a part of a sentence, a document, or across multiple documents. This task has been popular for decades and is ...
In response to the escalating global demand for secure access to freshwater resources, governments worldwide have implemented technology-driven initiatives for water resource development. This research focuses on a pivotal ...
In the first part of this dissertation, we focus on identifying the advantage afforded by quantum algorithms in the field of learning theory, which began as a mathematical framework in the mid-20th century to understand ...