Integration of computer vision in fashion

The CAFI Research Group is dedicated to unlock unlimited potential and possibilities through integrating Computer Vision in the fashion industry. We focus on the development of innovative systems and deep learning models for computer vision tasks like classification, object detection, segmentation, human/clothing paring, pose estimation, image & item recognition and retrieval. These technologies enable computers to recognize, process, analyse and understand digital images or other visual inputs, then derive meaningful information from them. These intelligent image understanding and analysis techniques can be used for novel fashion applications like body shape modelling and fashion recommendations, helping fashion professionals improve customer’s digital experience, derive e-commerce retailing strategies, conduct consumer behavioural & fashion trend studies and beyond.