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 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • Adversary detection tool 
    Goel, Akhil; Singh, Anirudh; Vatsa, Mayank (Advisor); Singh, Richa (Advisor) (IIITD-Delhi, 2019-04-30)
    Extensive research on attacks on deep learning models has shown that these models are not as robust as they seem. A carefully designed low magnitude perturbation is enough to cause havoc and completely confuse the model. ...
  • Aerial pedestrian detection using vision based approach 
    Chaudhuri, Yashwardhan; Buduru, Arun Balaji (Advisor) (IIIT-Delhi, 2022-12)
    Aerial object detection is becoming increasingly popular since images with a large field of view provide higher information per pixel than images with a short field of view. It is popularly used for pedestrian detection ...
  • AI empowered personal digital assistant 
    Garg, Ritik; Shukla, Jainendra (Advisor) (IIIT-Delhi, 2022-05)
    The number of tasks that we need to do is increasing day by day. A lot of time is wasted in planning the day and scheduling meetings with the seniors and colleagues. We plan to develop an AI algorithm to increase user ...
  • AI for ICU analytics 
    Gupta, Arushi; Sethi, Tavpritesh (Advisor) (IIIT- Delhi, 2021-05)
    The healthcare system is overburdened. There are just 1.34 doctors per 1000 patients in India. Intensive Care imposes the highest burden on healthcare systems all across the globe. A significant fraction of lives lost and ...
  • Air pollution and quality monitoring using IoT 
    Agarwal, Aman; Jain, Atulya; Kogta, Saloni; Naik, Vinayak (Advisor) (2017-04-18)
    Delhi has been ranked the most polluted city in the world. The air quality has been reported to be far above the safe limits. Our project aims to bring forth insights into the aspects that affect the quality of the air. ...
  • Airborne visual tracking and re-identi cation & obstacle avoidance using deep reinforcement learning for UAV's 
    Saini, Kunal; Subramanyam, A V (Advisor) (IIIT-Delhi, 2018-04-18)
    Visual tracking and person re-identification has gathered a lot of attention in computer vision due to its challenging nature and importance in surveillance applications. In this work, we explore the on-board visual tracking ...
  • AirOlfo - psychophysiological responses to olfactory stimulation 
    Gandhi, Pragya; Gupta, Aman Kumar; Wadhwa, Bhavey; Shukla, Jainendra (Advisor); Ahuja, Gaurav (Advisor) (IIIT-Delhi, 2021-12)
    Recent sherds of evidence collectively reinforce the importance of olfaction (the sense of smell) in attaining a good quality of life, primarily due to its well-established association with social, behavioral, and emotional ...
  • Algorithms for spatial colocation pattern mining 
    Baride, Srikanth; Goyal, Vikram (Advisor) (IIIT-Delhi, 2023-12)
    Spatial data mining is a specialized field that focuses on extracting meaningful insights and patterns from geographical or spatial data. One particular area of interest in spatial data mining is colocation pattern mining. ...
  • Amoeba : high performance and energy efficient community detection using multicore processors 
    Saini, Hardik; Kumar, Vivek (Advisor); Chakrborty, Tanmoy (Advisor) (IIIT-Delhi, 2021-05)
    Detecting an accurate community structure is a central problem in network analysis. With the popularity of social networking sites, a community detection algorithm's performance and energy efficiency are equally vital for ...
  • Analysing hyperbolic representations for use in recommendations in social networks 
    Kalra, Pankil; Buduru, Arun Balaji (Advisor); Kumaraguru, Ponnurangam (Advisor) (IIIT-Delhi, 2021-05)
    Recommender systems play an important role in helping online users find relevant information by suggesting content that can be of potential interest to them. Different Social networks have indicated hierarchical structures ...

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