IIIT-Delhi Institutional Repository

Browsing Computer Science and Engineering by Title

Browsing Computer Science and Engineering by Title

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  • Bird detection and monitoring in videos 
    Dahiya, Hemang; Anand, Saket (Advisor) (IIIT-Delhi, 2023-11-29)
    Conservation planning and conflict resolution require careful monitoring and analysis of wildlife. Video traps, in combination with AI-based analytic tools, are an excellent example of noninvasive technology used successfully ...
  • Blending active learning in a modified SPOC based classroom 
    Bansal, Shruti; Singh, Pushpendra (Advisor) (2015-12-03)
    Blended Learning is an amalgamation of face-to-face and e-learning. MOOCs (Massive Open Online Courses), a popular e-learning source of rich quality content produced by best instructors are freely available to learners ...
  • Blockchain and decentralized applications 
    Bajaj, Agam Singh; Tyagi, Lakshit; Arora, Paarth; Vajpayee, Pankaj (Advisor); Kumaraguru, Ponnurangam (Advisor) (IIIT-Delhi, 2018-04-18)
    Bitcoin is a virtual currency that emerged in the aftermath of the financial crisis. It allows people to bypass banks and traditional payment processes to pay for goods and services. The technology on which bitcoin works ...
  • Blockchain for food: farm to fork 
    Narang, Ojas; Bagler, Ganesh (Advisor) (IIIT-Delhi, 2023-11-30)
    India's food industry faces critical challenges with its centralized supply chains, including single point failures, quality issues, and data integrity. There's a high rate of food fraud, contamination, and adulteration, ...
  • BluePark : tracking parking and un-parking events in indoor parking lot 
    Soubam, Sonia; Naik, Vinayak; Banerjee, Dipyaman; Chakraborty, Dipanjan (2015-10-26)
    Finding a parking spot in a busy indoor parking lot is a daunting task. Retracing a parked vehicle can be equally frustrating. We present BluePark, a collaborative sensing mechanism using smartphone sensors to solve these ...
  • Bot analysis on social media 
    Caur, Samiya; Kumaraguru, Ponnurangam (Advisor) (IIIT- Delhi, 2021-05)
    Ever since the 2014 Lok Sabha election, social media platforms such as Twitter, Facebook etc.have become a vital part of election campaigns in India with political parties investing heavily in the expansion of their ...
  • Brain MRI segmentation 
    Agarwal, Ayush; Sinha, Akshat; Arora, Chetan (Advisor); Gupta, Anubha (IIIT-Delhi, 2017-04-18)
    The automated segmentation of Brain MRI is an important initial step in the application of anomaly detection and pain localization due to neurological diseases. In this view, we aim to segment the sub structures (Caudate, ...
  • Building a risk scoring system using ML for cardiovascular risk for Indian population 
    Gupta, Akshat; Gupta, Anubha (Advisor) (IIIT-Delhi, 2023-12-03)
    Cardiovascular diseases (CVD) include a variety of conditions affecting the heart and blood vessels, often arising from complex interplay of genetic predisposition, lifestyle factors, and environmental influences. Myocardial ...
  • Building efficient mobile systems and applications for supporting information exchange in resource limited settings 
    Asthana, Siddhartha; Singh, Pushpendra (Advisor) (IIIT-Delhi, 2017-01)
    Enabling support for information exchange has a great impact on the development of different sections of the society. Mobile phones using telecommunication services have enabled such support in several scenarios including ...
  • Building management system extension 
    Prakash, Divay; Kumar, Hemant (Advisor) (IIIT-Delhi, 2017-04-18)
    The building management HVAC(heating, ventilation and air conditioning) system for Phase II of IIIT-Delhi campus is designed to take care (and advantage) of diversity of use. Instead of using large AHUs(Air Handling ...
  • Building performant, privacy-enhancing, and blocking-resistant communication systems 
    Kumar, Piyush; Chakravarty, Sambuddho (Advisor); Maity, Mukulika (Advisor) (IIIT- Delhi, 2021-08)
    Free and open communication over the Internet is essential for the overall advancement of modern societies. However, there are numerous ways with which malevolent adversaries try to control the flow of information, by ...
  • Cairn : identifying network locations for large scale censorship by resource-constrained adversaries 
    Agarwal, Anshika; Gosain, Devashish; Acharya, Hrishikesh Bhatt; Chakravarty, Sambuddho (2016-09-23)
    Censorship of the Internet by government is a hotly contested topic. Some nations lean more toward free speech; others are much more conservative. How feasible is it for a government to censor the Internet? What mechanisms ...
  • Cairn:identifying network locations for large scale censorship by resource-constrained adversaries 
    Agarwal, Anshika; Chakravarty, Sambuddho (Advisor) (2016-09-15)
    Censorship of the Internet by government is a hotly contested topic. Some nations lean more towards free speech; others are much more conservative. How feasible is it for a government to censor the Internet? What mechanisms ...
  • Call Me MayBe : understanding nature and risks of sharing mobile numbers on online social networks 
    Jain, Prachi; Kumaraguru, Ponnurangam (Advisor) (2014-07-10)
    There is a great concern about the potential for people to leak private information on social networks. There are many anecdotal examples of this, but few quantitative studies. This research explores the activity of ...
  • Camera pose estimation 
    Verma, Ishita; Saran, Nitika; Arora, Chetan (Advisor) (IIIT-Delhi, 2017-04-18)
    Pose estimation is a fundamental problem in computer vision and is prevalent in numerous applications such as object-detection, tracking etc. Generally, in pose estimation between two camera views, we have 6 degrees of ...
  • Can humans and automatic algorithms recognize look-alike faces? 
    Lamba, Hemank; Sarkar, Ankit; Vatsa, Mayank; Singh, Richa (2012-03-26)
    One of the major challenges of face recognition is to de- sign a feature extractor that reduces the intra-class vari- ations and increases the inter-class variations. The fea- ture extraction algorithm has to be robust ...
  • Can we predict propensity of sharing of multimedia content among Indian ethnicity 
    Prasad, Yashdeep; Shukla, Jainendra (Advisor) (IIIT-Delhi, 2021-12)
    Billions of online video ads are viewed every month. We aim present a large scale dataset of the response of Indian audience to the online advertisements. The project is an attempt to find a causality between popularity ...
  • Capturing mannerisms in speech data 
    Nambiar, Pranav; Arora, Chetan (Advisor); Anand, Saket (Advisor) (IIITD-Delhi, 2018-04-30)
    Text-to-speech systems generally require large amounts of annotated speech data with the quality of both the annotations and speech being a huge factor. As a result, most of the research performed has been on highly curated ...
  • ChaMAILeon simplified email sharing like never before 
    Dewan, Prateek; Gupta, Mayank; Kumaraguru, Ponnurangam (2012-03-14)
    While passwords, by de nition, are meant to be secret, recent trends in the Internet usage have witnessed an increasing number of people sharing their email passwords for both personal and professional purposes. As ...
  • Channel-graph regularized correlation filter for visual object tracking 
    Tyagi, Arjun; Subramanyam, A V (Advisor) (IIIT-Delhi, 2020-08)
    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 ...

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