• Deep learning approach for face recognition with disguise variations 

  Chawla, Mohit; Singh, Richa (Advisor); Vatsa, Mayank (Advisor) (IIIT-Delhi, 2019-07)

  With the increased interest in face recognition across di erent applications, the research in this area has ourished over the past few decades. However, face recognition with disguise variations has gained little ...
• Venue discovery using supervised generative adversarial cross-modal hashing 

  Aggarwal, Himanshu; Shah, Rajiv Ratn (Advisor); NII, Yi Yu (Co-Advisor) (IIIT-Delhi, 2019-07)

  With a massive amount of online multimedia data (e.g., images, videos, text articles, etc.) and increasing needs of the people, venue discovery using multimedia data has become an underlined research topic. We are referring ...
• Learning algorithms for micro-doppler radar based detection, classification and imaging of humans in indoor environments 

  Vishwakarma, Shelly; Ram, Shobha Sundar (Advisor) (IIIT-Delhi, 2020-02)

  Indoor radars have been researched and developed to detect and monitor humans for applications that range from law enforcement, security and surveillance purposes to ubiquitous sensing applications such as smart home or ...
• Design, implementation and analysis of efficient hardware-based security primitives 

  N., Nalla Anandakumar; Sanadhya, Somitra Kumar (Advisor); Hashmi, Mohammad S. (Advisor) (IIIT-Delhi, 2019-09)

  Internet of Things (IoT) is a vast and rapidly growing technology right now in the world of innovation. Billions of new electronic devices are going to be connected to the internet in wide-ranging applications. With this ...
• Deep transform learning 

  Maggu, Jyoti; Majumdar, Angshul (Advisor) (IIIT-Delhi, 2019-12)

  Conventional dictionary learning is a synthesis formulation; it learns a dictionary to generate/synthesize the data from the learned coefficients. Transform learning is its analysis equivalent. The transform analyzes ...

View more