• Study of task processes for improving programmer productivity 

  Kamma, Damodaram; Jalote, Pankaj (Advisor) (IIIT-Delhi, 2017-03)
• Learning representations for matching fingerprint variants 

  Sankaran, Anush; Vatsa, Mayank (Advisor); Singh, Richa (Advisor) (IIIT-Delhi, 2017-02)

  Fingerprint recognition has evolved over the decades, providing innumerable applications for improving the modern day security. Based on the method of capture, fingerprints can be classified into four variants: inked, ...
• Empirical analyses of software contributor productivity 

  Rastogi, Ayushi; Nagappan, Nachiappan (Advisor); Jalote, Pankaj (Advisor) (IIIT-Delhi, 2017-08)
• Social media and policing : computational approaches to enhancing collaborative action between residents and law enforcement 

  Sachdeva, Niharika; Kumaraguru, Ponnurangam (Advisor) (IIIT-Delhi, 2017-04)

  Law and order concerns are one of the major disquiets of urban societies in day-to-day life. Various crime prevention theories show the importance of collaboration between residents and police for maintaining law and order ...
• Systems and analytical techniques towards practical energy breakdown for homes 

  Batra, Nipun; Singh, Amarjeet (Advisor); Whitehouse, Kamin (Advisor) (IIIT-Delhi, 2017-03)

  Buildings contribute significantly to overall energy consumption across the world. Studies suggest that providing occupants with an energy breakdown: per-appliance energy consumption, can help them save up to 15% energy. ...
• Open source social media as sensors for enabling government identification, prediction and response applications 

  Agarwal, Swati; Sureka, Ashish (Advisor); Goyal, Vikram (Advisor) (IIIT-Delhi, 2017-06)

  Online Social media platforms such as Tumblr, Twitter (micro-blogging website) and YouTube (video sharing website) contains information which is publicly available or open-source. Open source social media intelligence ...
• Sparse recovery techniques for hyperspectral imaging 

  Aggarwal, Hemant Kumar; Majumdar, Angshul (Advisor) (2016-12-23)

  Human vision is a powerful imaging system that can capture and interpret light energy coming from different sources although it is limited to visible light. There are various applications such as face recognition, medical ...
• Qi points : placing decoy routers in the internet 

  Gosain, Devashish; Agarwal, Anshika; Acharya, HB; Chakravarty, Sambuddho (2016-09-23)

  Decoy Routing, the use of routers (rather than end hosts) as proxies, is a new direction in anti-censorship research. However, existing proposals require control of hundreds of Autonomous Systems (AS) to provide Decoy ...
• Cairn : identifying network locations for large scale censorship by resource-constrained adversaries 

  Agarwal, Anshika; Gosain, Devashish; Acharya, HB; 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 ...
• RGB-D face recognition in surveillance videos 

  Chowdhury, Anurag; Vatsa, Mayank (Advisor) (2016-09-20)

  Biometric analysis of surveillance videos carries inherent challenges in form of variations in pose, distance, illumination and expression. To address these variations, different methodologies are proposed, including ...
• Cryptanalysis of SHA2 based on perturbation technique 

  Hasan, Munawar; Sanadhya, Somitra Kumar (Advisor) (2016-09-20)
• 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 ...
• Video compression technique using facial landmarks on mobile devices 

  Banerjee, Ruchika; Naik, Vinayak (Advisor) (2016-09-15)

  Wide proliferation of smart mobile phones has manifolded the bandwidth demand, as video streaming applications have significantly gained popularity. At the same time, technical challenges, such as requirements of resources, ...
• Anisotropic mean shift clustering using distance metric learning 

  Cheema, Gullal Singh; Anand, Saket (Advisor) (2016-09-15)

  Mean shift is a non-parametric mode seeking procedure widely used in many computer vision problems. Mean shift clustering in particular is a well studied and established algorithm, which has many merits over the classic ...
• Utility and privacy guarantees of differential privacy 

  Srivastava, Shubham; Bera, Debajyoti (Advisor) (2016-09-15)

  The primary aim of any survey is to facilitate analysis of sensitive data to extract useful information, without jeopardizing privacy of the participants. Privacy models like k-anonymity do not guarantee privacy against ...
• Planar modeling of indoor scenes using RGBD images 

  Tripathi, Shreya; Anand, Saket (Advisor) (2016-09-15)

  3D registration of scenes is a widely researched topic. Since the availability of low cost sensors like the Kinect RGB-D cameras, they are being extensively used for additional depth information about the scene. Most of ...
• 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 ...
• Classifying stack overflow questions based on bloom’s taxonomy 

  Dubey, Manisha; Goyal, Vikram (Advisor) (2016-09-15)

  Bloom’s Taxonomy is a framework which acts as a reference for classification of questions across different cognitive levels such as Knowledge, Comprehension, Application, Analysis, Synthesis, and Evaluation. It can be used ...
• Extending a scaling based flow algorithm for higher order MRF-MAP inference in vision 

  Prasoon; Arora, Chetan (Advisor) (2016-09-13)

  Several tasks in computer vision and Machine Learning are modeled as MRF-MAP inference problems. The problem can often be modeled as minimizing sum of submodular functions. Since, sum of submodular functions (SoS) is also ...
• Gender classification using RGB-D videos 

  Agrawal, Navin; Singh, Richa (Advisor); Vatsa, Mayank (Advisor) (2016-09-13)

  Gender classification is used in applications as a soft feature or attribute in biometrics to help identify people. Using gender classification as an indexing technique can boost the performance of facial-biometric. If the ...

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