Now showing items 1-10 of 10

    • A Deep Motion Vector Approach to Video Object Segmentation 

      Garg, Vineet (2019-04-16)
      Video object segmentation is gaining increased research and commercial importance in recent times from no checkout lines in Amazon Go stores to autonomous vehicles operating on roads. Efficient operation for such use cases ...
    • An Investigation on Deep Learning and Multi-label Learning for Composite System Reliability Evaluation 

      Urgun, Dogan (2019-02-28)
      In many cases, research on reliability analysis focuses on searching the state space of the system for states that represent events of interest, like failure of the system not meeting the required demand for a specific ...
    • CONSTRUCTION PROGRESS MEASUREMENT USING DEEP LEARNING 

      Mou, Xue (2019-11-26)
      Failing to keep track of the construction progress in time and making current construction progress falling behind the schedule will cause a significant loss of time and money. Monitoring the progress of the constructing ...
    • Deep Learning Method for Denoising Monte Carlo Renders for VR Applications 

      Taylan, Aksel
      Monte Carlo path tracing is one of the most desirable methods to render an image from three-dimensional data thanks to its innate ability to portray physically realistic and desirable phenomena such as soft shadows, motion ...
    • Dimpler Detection Using Facial Landmarks in Videos 

      Wang, Shuaifang
      Dimpler is one of the body languages that contributes to the emotion contempt when the action appears unilaterally, and to boredom. It is one of the subtle expressions that people did in everyday life. Although the universal ...
    • Learning to Understand New Facial Expressions 

      Parmar, Palash (2019-05-23)
      Facial expression recognition is getting popular in the research community because of its extensive use in understanding human sentiments. Among various medium of human interaction uses in daily life, the facial expression ...
    • Model Attack on Convolutional Neural Networks 

      Vallamkonda, Abhilash Rajendra Babu (2019-08-14)
      Deep learning is a machine learning technique that enables computers to learn directly from images, text, or sound in the same way that people do. It is a key technology which enables selfdriving cars and speech recognition. ...
    • Multiscale Model Reduction and Learning 

      Wang, Min (2019-05-23)
      Many engineering problems have multiscale features. These problems usually require some model reduction since the computational cost of a fine-scale solution is extremely expensive. Existing model reduction methods such ...
    • Static Body Expression Recognition with Openpose 

      Huang, Sicong
      This thesis gives a reliable machine model that recognizes the action of "look down at phone" and distinguishes it from other similar actions in a given consecutive video. It first reproduces facial recognition research ...
    • Yawn Detection Using Support Vector Machine Classification 

      Mayilvahanan, Sarvesh
      A model to detect yawning in a video sequence from a regular camera is proposed. Landmark detectors are able to quickly and accurately estimate the pose of a face with various amounts of light and facial expressions. We ...