Computer Science and Engineering: Recent submissions

  • Melody generation from lyrics using three branch conditional LSTM-GAN 
    Srivastava, Abhishek; Shah, Rajiv Ratn (Advisor); Yu, Yi (Advisor) (IIIT-Delhi, 2020-07)
    Automating the process of melody generation from lyrics has been a challenging research task in the field of artificial intelligence. Lately, however, music-related datasets have become available at large-scale, and with ...
  • Representing dimensional model in MongoDB 
    Gupta, Neha; Prakash, Naveen (Advisor) (IIIT-Delhi, 2020-05)
    Conventional data warehouse systems are implemented either on a multi-dimensional database or a relational database. While the earlier supports MOLAP operations, the other supports ROLAP operations. In this work, we used ...
  • An ontology design pattern recommendation system 
    Yasvi, Maleeha Arif; Mutharaju, Vijaya Raghava (Advisor) (IIIT-Delhi, 2020-07)
    Ontologies evolve over time due to changes in the domain and the requirements of the application. Maintaining an ontology over time and keeping it up-to-date with respect to the changes in the domain and the requirements ...
  • Upper and lower bounds of various centrality measures on planar and sparse graphs 
    Bhattacharya, Sudatta; Bera, Debajyoti (Advisor) (IIIT-Delhi, 2020-08-03)
    In this thesis we address the problem of computing closeness centrality, Harmonic centrality and a few related centrality measures that operate on the shortest paths in a graph. We consider sparse graphs, especially ...
  • Applications of open transit data 
    Srivastava, Kshitij; Biyani, Pravesh (Advisor) (IIIT-Delhi, 2020-06)
    The concept of open data has become quite popular in recent times among governments and public-facing organizations promoting transparency and collaboration. In a similar expedition, the Open Transit Data Platform for Delhi ...
  • Semi-supervised learning via triplet network based active learning 
    Sundriyal, Divyanshu; Vatsa, Mayank (Advisor); Singh, Richa (Advisor) (IIIT-Delhi, 2020-06)
    Deep learning systems require a large amount of labelled training dataset. However large amount of labelled data is not available in many cases as it requires considerable human effort to label each sample correctly. In ...
  • SWaP : meta analysis of static analyzer reports for accurate warning prioritization 
    Yadav, Khushbu; Purandare, Rahul (Advisor) (IIIT-Delhi, 2020-08)
    Java being designed in a flexible and user-friendly demeanour, makes it the most accepted programming language for the development of web applications and platforms. Due to the immense popularity, there comes the responsibility ...
  • Simultaneous detection of face attributes via multi-task learning 
    Sundriyal, Himanshu; Vatsa, Mayank (Advisor); Singh, Richa (Advisor) (IIIT-Delhi, 2020-06)
    Identifying face attributes is an ongoing problem of research which is used in bio-metrics, surveillance etc. In past, researchers have proposed methods which predict single facial attribute at a time. Real-time applications ...
  • Understanding the effect of positioning on mobile sensor data and its impact on applications 
    Saxena, Garvita; Singh, Pushpendra (Advisor) (IIIT-Delhi, 2020)
    Most sensor based mobile phone applications like navigation systems, pothole detection, pedometers, traffic detection, etc. rely on the strict and stable positioning of the mobile phone at a particular place throughout ...
  • 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 ...
  • Hate speech diffusion in twitter social media 
    Makkar, Sakshi; Chakraborty, Tanmoy (Advisor) (IIIT-Delhi, 2020-07)
    Online hate speech, particularly over microblogging platforms like Twitter, has emerged as arguably the most severe issue of the past decade. Several countries have reported a steep rise in hate crimes infuriated by ...
  • Corpora evaluation and system bias detection in multi document summarization 
    Dey, Alvin; Chakraborty, Tanmoy (Advisor) (IIIT-Delhi, 2020-06)
    Multi-document summarization (MDS) is the task of reflecting key points from any set of documents into a concise text paragraph. In the past, it has been used to aggregate news, tweets, product reviews, etc. from various ...
  • Embeddings for the EL++ description logic 
    Mondal, Sutapa; Mutharaju, Vijaya Raghava (Advisor); Bhatia, Sumit (Advisor) (IIIT-Delhi, 2020-07)
    Knowledge graph (KG) embedding models have recently gained increased attention. However, most of the existing models for KG embeddings ignore the structure and characteristics of the underlying ontology. KGs are not ...
  • Maginot lines and tourniquets : on the defendability of national cyberspace 
    Gosain, Devashish; Rawat, Madhur; Sharma, Piyush Kumar; Acharya, Hrishikesh Bhatt (IIIT-Delhi, 2020-01)
    National governments know the Internet as both a blessing and a headache. On the one hand, it unlocks great economic and strategic opportunity. On the other hand, government, military, or emergency-services become vulnerable ...
  • Panoptic defenses for secure computer vision 
    Agarwal, Akshay; Singh, Richa (Advisor); Vatsa, Mayank (Advisor) (IIIT-Delhi, 2020-10)
    As the deployment and usage of computer vision systems increase, protecting these systems from malicious data has also become a critical task. The primary source of information in any computer vision system is the input ...
  • Optimal inference algorithms for higher order MRF-MAP problems 
    Ishant; Arora, Chetan (Advisor) (IIIT-Delhi, 2020-08-13)
    Many computer vision problems can be formulated as finding the best labeling configuration. If labelings satisfy Markov property then finding best labeling configuration becomes MRF (Markov Random Field)- MAP (Maximum A ...
  • Modality guided representation learning for person re-identification 
    Kansal, Kajal; Subramanyam, A V (Advisor) (IIIT-Delhi, 2020-05)
    The rise of surveillance cameras has led to a significant focus on large scale deployment of intelligent surveillance systems. Person re-identification (Re-ID) is one of the quintessential surveillance problems. Person ...
  • User identity linkage : data collection, dataset biases, method, control and application 
    Kaushal, Rishabh; Kumaraguru, Ponnurangam (Advisor) (IIIT-Delhi, 2020-10)
    Online Social Networks (OSNs) have become popular platforms for online users. Users typically register and maintain their accounts (user identities) across different OSNs to share a variety of content and remain connected ...
  • Matrix completion techniques in bioinformatics 
    Mongia, Aanchal; Majumdar, Angshul (Advisor) (IIIT-Delhi, 2020-09)
    Data analytics and computational techniques applied to biological sciences aid rapid technological advances, swift discoveries, and reliable analysis. A broad range of bountiful tools and algorithms have played pivotal ...
  • Rectilinear crossing number of uniform hypergraphs 
    Gangopadhyay, Rahul; Shannigrahi, Saswata (Advisor); Sharma, Anuradha (Advisor) (IIIT-Delhi, 2020-01)
    In this thesis, we study the d-dimensional rectilinear drawings of d-uniform hypergraphs in which each hyperedge contains exactly d vertices. A d-dimensional rectilinear drawing of a d-uniform hypergraph is a drawing of ...

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