Browsing by Author "Hati, Avik"

Now showing items 1-7 of 7

    • Automatic Text Translation of Multilingual Sentences using Transformer 

      Hari Charan, Edara Veera Venkata (Dhirubhai Ambani Institute of Information and Communication Technology, 2022)
      Machine translation from one language to another is a complex problem in machine learning and one in which the machine still cannot achieve satisfactory results. The recent focus for solving this challenge has been on ...

    • Common Object Segmentation in Dynamic Image Collection using Attention Mechanism 

      Baid, Sana (Dhirubhai Ambani Institute of Information and Communication Technology, 2022)
      Semantic segmentation of image groups is a crucial task in computer vision that aims to identify shared objects in multiple images. This work presents a deep neural network framework that exhibits congruity between images, ...

    • Cross-domain Person Re-identification 

      Shah, Raj H. (Dhirubhai Ambani Institute of Information and Communication Technology, 2022)
      The problem of person reidentification has been getting much attention in the computer vision community. The task is to recognize pictures of the same indi� viduals in images with different backgrounds taken from ...

    • Cross-modal Remote Sensing Image Retrieval 

      Dhyanil Mehta (Dhirubhai Ambani Institute of Information and Communication Technology, 2022)
      Most of the conventional remote sensing (RS) retrieval approaches used today are often based on a single modality data framework. In today�s date, the need for multimodal and cross modal based approaches especially in the ...

    • Deep Learning based Nuclei Segmentation in Histopathological Images: A perspective on Image Normalization 

      Vaishnani, Kishankumar (Dhirubhai Ambani Institute of Information and Communication Technology, 2022)
      Histopathology is the diagnosis and study of the different tissues. For diagnosis of different diseases, there are parameters like nuclei count, anatomy of nuclei, etc. However, identifying these parameters manually is a ...

    • Generating Targeted Adversarial Attacks and Assessing their Effectiveness in Fooling Deep Neural Networks 

      Gajjar, Shivangi Bharatbhai (Dhirubhai Ambani Institute of Information and Communication Technology, 2022)
      Deep neural network (DNN) models have gained popularity for most image classification problems. However, DNNs also have numerous vulnerable areas. These vulnerabilities can be exploited by an adversary to execute a successful ...

    • Shadow Detection And Removal From Images 

      Mehta, Krunal Kamleshkumar (Dhirubhai Ambani Institute of Information and Communication Technology, 2022)
      Shadow removal from images and videos is an essential task in computer vision that concentrates on detecting the shadow generated by the obstructed light source and obtaining realistic shadow free results. The features of ...