• Monocular Depth Estimation with Self-Supervised Representation Learning 

      Şentürk, Ufuk Umut (Fen Bilimleri Enstitüsü, 2022)
      Many representation and modalities are developed for better scene understanding as images, videos, point clouds, etc. In this thesis, we intentionally characterize scene representation as depth maps in order to leverage ...
    • Parallelization Analysis of ECO Tracking Algorithm on GPUs 

      Taygan, Uğur (Fen Bilimleri Enstitüsü, 2020-06)
      Object tracking is a very popular area in image processing. Its popularity comes from the variety of its application areas. It is used for security and surveillance, autonomous vehicles, human-machine interaction, traffic ...
    • Towards Understandıng Intuıtıve Physıcs Wıth Language And Vısıon 

      Ateş, Tayfun (Fen Bilimleri Enstitüsü, 2021)
      Visual question answering (VQA) is one of the difficult tasks in multimodal machine reasoning. VQA requires machines to provide correct answers to questions about an image or a video. Here, the machine should perceive the ...
    • Turkish Video Captioning with Msvd-Turkish Dataset 

      Çıtamak, Begüm (Fen Bilimleri Enstitüsü, 2020)
      The problem of video captioning can be defined as describing a video content by using natural language in a way that a person can identify the video by performing information extraction from the given videos. Video captioning ...
    • Utilization of Local and Global Image Descriptors for Phishing Web Page Identifıcation 

      Eroğlu, Esra (Fen Bilimleri Enstitüsü, 2020)
      In recent years, the use of the Internet has increased in all areas of life, thus many cyber- attacks have emerged. These attacks aim to steal users' private information such as passwords, credit cards. During phishing ...