Recommender systems are being ubiquitously used to optimally couple users and products. The goal of this project is to employ standard methods used to produce recommendations [1,4]
Virtual try on of clothes with deep learning and image segmentation using just a 2d image. To create a shopping environment close to reality, virtual try-on technology has attracted a lot of interests recently by delivering product information similar to that obtained from direct product examination. It allows users to experience themselves wearing different clothes without efforts of changing them physically.
The goal of this project is to develop a modelling approach to enable a human to learn a complex motor skill quickly. Learning of motor skills such as piano playing involves mastering of multiple subskills, such as reading music score, simultaneously controlling fingers and hands.
The goal of this project is to develop a modelling approach to enable a human to learn a complex motor skill quickly. Learning of motor skills such as piano playing involves mastering of multiple subskills, such as reading music score, simultaneously controlling fingers and hands.