IIIT-Delhi Institutional Repository

Browsing Computer Science and Engineering by Title

Browsing Computer Science and Engineering by Title

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  • 140 characters of @hate and #protest 
    Sureka, Ashish (2012-03-26)
    Research shows that cyber-hate, illegal or malicious form of cyber-protest and cyber-activism in online social media and Web 2.0 platforms has become a common phenomenon. This is a growing concern and hence automated ...
  • 3D object detection for autonomous driving 
    Sheth, Dhvanil; Devaraj, Aajay; Anand, Saket (Advisor) (IIIT-Delhi, 2024-04-19)
    This thesis undertakes a comprehensive exploration of object detection technologies with a particular emphasis on their application in autonomous driving and related application settings. The burgeoning field of autonomous ...
  • 3D reconstruction from sparse unorganized cross sections 
    Agarwal, Nidhi; Sharma, Ojaswa (Advisor) (2015-12-02)
    In this thesis work, we propose an algorithm for smooth 3D object reconstruction from un- organized planar cross sections. We address the problem in its full generality, and show its e ectiveness on sparse set of cutting ...
  • 3D society modelling 
    Pulkit; Attri, Mayank; Ruhela, Sahil; Khushalani, Manohar (Advisor) (IIIT-Delhi, 2017-04-29)
    The goal of our BTP is to make realistic looking residential society having 3D models of villas, apartments including the interior designing of the villas and apartments. Last Semester we made the autocad files of the ...
  • 3D visualization of CT datasets 
    Singh, Karan; Sharma, Ojaswa (Advisor) (2023-11-29)
    This project addresses the real-time visualization of CT datasets, emphasizing cinematic rendering for heightened realism. Initial efforts concentrated on networking on a Unity frontend for seamless communication with a ...
  • Accessible digital education for K-12 students with visual impairments and blindness 
    Pathak, Shourya; Gupta, Richa (Advisor) (IIIT-Delhi, 2022-05)
    This project aims to make education accessible to K-12 students with blindness and visual impairment to maintain their education potential in practical and physical courses. The current inclusive education in India has ...
  • Accessing trust in mental health counselling conversation 
    Agarwal, Ayush; Akhtar, Md. Shad (Advisor) (IIIT-Delhi, 2024-07-18)
    Mental health has emerged as the most critical global healthcare concern which is ac celerated by recent lifestyle changes, evolving individual aspirations, and social media. The use of AI in mental health has been useful ...
  • ACCORD : an analytical cache contention model using reuse distances for modern multiprocessors 
    Hemani, Rakhi; Banerjee, Subhasis; Guha, Apala (2014-09-15)
    Simultaneous execution of multiple threads on multicores is necessary for good resource utilization. However, such utilization calls for accurate models to predict the impact on performance due to contention of shared ...
  • Accurate coresets 
    Ranjan, Sanskar; Shit, Supratim (Advisor) (IIIT-Delhi, 2024-12-04)
    This report shows my work where I introduced a unified framework for constructing accurate coresets in machine learning. Accurate coresets are weighted subsets of the original data that preserve the loss function of a ...
  • Achieving multi-robot coordination through optimal reasoning and minimal communication 
    Ali, Wasif; Verma, Vipul; Shandilya, Bhanu; Kundu, Tanmoy (Advisor) (IIIT-Delhi, 2024-11-27)
    This research solves a major problem in multi-robot systems that how robots can work together and make consistent decisions even when they don’t share the same information, all while minimizing the need for constant ...
  • Acoustic detection and temporal localization of whale calls 
    Rajan, Bhargav Raman; Gupta, Anubha (Advisor); Gupta, Ananya Sen (Advisor) (IIIT-Delhi, 2025-07-27)
    Passive acoustic monitoring (PAM) enables large-scale, non-invasive observation of marine megafauna, but detecting and temporally localizing whale vocalizations in long, noisy recordings remains a challenge. This work ...
  • Action recognition in egocentric videos 
    Verma, Sagar; Arora, Chetan (Advisor) (2017-07)
    With an increase in usage and availability of wearable devices like GoPro, Microsoft Hololens, Google Glass, etc, egocentric video analysis has become essential. An interesting application is action recognition in egocentric ...
  • Activation functions in neural networks 
    Narayan, Anupam; Pandey, Ashish Kumar (Advisor) (IIIT-Delhi, 2023-12-12)
    Artificial neural networks (ANNs) are pivotal in deep learning, with activation functions introducing crucial non-linearity. An ideal activation function should generalize well across datasets, expedite convergence, and ...
  • Active learning for object detection 
    Goel, Atharv; Anand, Saket (Advisor) (IIIT-Delhi, 2024-12-11)
    Object detection is a fundamental task in computer vision, involving the localization and classi- fication of objects within images or video frames. However, training these models requires large amounts of labeled data, ...
  • Active learning for visual wildlife monitoring 
    Srivatsav, Deepak Magesh; Anand, Saket (Advisor) (IIIT-Delhi, 2020-05-30)
    Wildlife monitoring and tracking are vital for the preservation of various wildlife species. Activities such as poaching and loss of habitat have made wildlife monitoring and tracking increasingly tricky. Modern-day ...
  • Adaptive concurrency throttling in the exascale era 
    Gupta, Raghav; Kumar, Vivek (Advisor) (IIIT-Delhi, 2022-05)
    Future multi-core processors will be heterogeneous, be increasingly less reliable, and operate in dynamically changing operating conditions. Such environments will result in a constantly varying pool of hardware resources ...
  • Addressing coldstart problem in recommender systems 
    Banerjee, Shisagnee; Majumdar, Angshul (Advisor) (2016-09-15)
    In the following three chapters of my thesis, I have applied several methods to solve the coldstart problem in Recommender Systems. The coldstart problem is the situation where a user or item is new to a website and ...
  • Advancing gene signature discovery with generative models : a case study in sepsis 
    Sharma, Anjali; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2023-05-01)
    Sepsis and diabetes present intricate medical conditions that present substantial challenges to healthcare systems globally. Timely detection and precise diagnosis are critical in facilitating effective treatment and ...
  • 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 ...
  • Adversarial network mining 
    Sharma, Ansh Kumar; Kukreja, Rahul; Chakraborty, Tanmoy (Advisor) (IIIT-Delhi, 2021-12)
    Recent advancements in the field of graph representation learning and the introduction of algorithms like DeepWalk, LINE and Graph Convolutional Networks (GCNs) have helped achieve state-of-the-art results for tasks like ...

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