Computer Vision and Machine Learning
Currently working on:
Areas of Research:
Object recognition and image segmentation
Carles Ventura received his B.S. degree in Telecommunication Engineering at the Universitat Politècnica de Catalunya (UPC) in 2010. In 2011, he obtained his M.S. degree in Computer Science at UPC and in 2016 the Ph.D. degree in Computer Science at UPC. At this moment he is a lecturer and researcher at the IT, Multimedia and Telecommunications department at Universitat Oberta de Catalunya (UOC), managing courses of artificial intelligence, machine learning, data structures and research dissemination. His research work is mainly focused on content-based image retrieval, object detection and recognition, and image segmentation. He is member of the Scene Understanding and Artificial Intelligence (SUnAI) group of the UOC.
Improving retrieval accuracy of Hierarchical Cellular Trees for generic metric spaces (Journal Article)
Multimedia Tools and Applications, 73 (3), pp. 1983–2008, 2014, ISSN: 1573-7721.