IIIT-Delhi Institutional Repository

Browsing by Author "Vatsa, Mayank (advisor)"

Browsing by Author "Vatsa, Mayank (advisor)"

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  • Gupta, Mehak; Singh, Vishal; Vatsa, Mayank (advisor); Singh, Richa (advisor) (IIIT-Delhi, 2020-05-26)
    The deployment of biometrics features based person identification has increased significantly from border access to mobile unlock to electronic transactions. Iris recognition is considered as one of the most accurate ...
  • Sood, Raghav; Vatsa, Mayank (advisor); Singh, Richa (advisor) (2020-05-31)
    Modality refers to how something happens or is experienced. It is the representation format in which information is stored. Multimodal Learning involves relating information from multiple sources. Many modalities are ...
  • Prakash, Pragya; Vatsa, Mayank (advisor); Singh, Richa (advisor) (IIIT-Delhi, 2020-05-25)
    Transfer learning is widely used for many applications, but it is difficult to adapt intermediate layers of the network to a new learning task with less data available. Learning the importance that key connections play ...
  • 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 ...
  • Photo DNA 
    Singh, Aditya; Vatsa, Mayank (advisor); Singh, Richa (advisor) (IIIT Delhi, 2020-05-26)
    Awareness of sexual abuse of children has grown enormously over the past two decades - however, the recent advancements in technology has also made it easier to propagate it. To tackle this problem, we develop an image ...
  • Chauhan, Arushi; Vatsa, Mayank (advisor); Singh, Richa (advisor) (IIIT-Delhi, 2020-06-02)
    Convolutional neural networks are being extensively used in real world applications like image and video classification, natural language processing, medical image analysis, recommender systems etc. where previously machine ...
  • Sanghvi, Nilay; Singh, Sushant Kumar; Vatsa, Mayank (advisor); Singh, Richa (advisor) (IIIT-Delhi, 2020-06-01)
    The non-intrusive nature and high accuracy of face recognition algorithms have led to their successful deployment across multiple applications ranging from border access to mobile unlocking and digital payments. However, ...
  • 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 ...
  • 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 ...
  • Tandon, Madhur; Garg, Mudit; Vatsa, Mayank (advisor); Singh, Richa (advisor) (IIIT-Delhi, 2020-05-22)
    There are various domains under which Machine Learning has been successfully applied. With the availability of high computing resources, tasks such as image classification, object detection and others are easily tackled ...

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