• Algorithms for Processing RGBD Images and Videos for Depth-Based 3D Video Systems 

      Suraj, K
      In recent times, immersive visual media such as Virtual Reality (VR), Augmented Reality (AR), 3DTV and Free Viewpoint Television (FTV) have garnered tremendous interest. Immersive visual media content typically provides ...
    • Cross-Modal Retrieval and Hashing 

      Mandal, Devraj
      The objective of cross-modal retrieval is to retrieve relevant items from one modality (say image), given a query from another modality (say textual document). Cross-modal retrieval has various applications like matching ...
    • Data Efficient Domain Generalization 

      Afreen, Ahmad
      Deep neural networks has brought tremendous success in many areas of computer vision, such as image classification, retrieval, segmentation , etc. However, this success is mostly measured under two conditions namely (1) ...
    • Discriminative Descriptors for Unconstrained Face and Object Recognition 

      Sanyal, Soubhik
      Face and object recognition is a challenging problem in the field of computer vision. It deals with identifying faces or objects form an image or video. Due to its numerous applications in biometrics, security, multimedia ...
    • Face Recognition in Unconstrained Environment 

      Mudunuri, Sivaram Prasad
      The goal of computer vision is to provide the ability to machines to understand image data and infer the useful information from it. The inferences highly depend on the quality of the image data. But in many real-world ...
    • Generalizing Cross-domain Retrieval Algorithms 

      Dutta, Titir
      Cross-domain retrieval is an important research topic due to its wide range of applications in e-commerce, forensics etc. It addresses the data retrieval problem from a search set, when the query belongs to one domain, and ...
    • Improved Generative Models for Zero-shot object recognition 

      Pambala, Ayyappa Kumar
      Recognizing objects from their images automatically using computers is an important research area in the computer vision community. In this scenario, the testing images are automatically classified into one of the classes ...