Rongrong Ji

“Minjiang” Chair Professor, Fujian Province

Professor, Xiamen University

Dean Assistant School of Information Science and Engineering

Address: Room 606B, Administration Building #C, Haiyun Park, Xiamen University, 361005

Email: rrji@xmu.edu.cn or jirongrong@gmail.com ← the best way to reach me

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Master、PH.D.、PostDoc Vacancies (Major in Computer Science and Technology)

Computer Vision (for Graduate Students)
Computer vision is a field that includes methods for acquiring, processing, analyzing, and understanding rrj_images and, in general, high-dimensional data from the real world in order to produce numerical or symbolic information, e.g., in the forms of decisions. A theme in the development of this field has been to duplicate the abilities of human vision by electronically perceiving and understanding an image. This image understanding can be seen as the disentangling of symbolic information from image data using models constructed with the aid of geometry, physics, statistics, and learning theory. Computer vision has also been described as the enterprise of automating and integrating a wide range of processes and representations for vision perception. (from wiki) In this course, we will study the concepts and algorithms behind some of the remarkable successes of computer vision - capabilities such as face detection, handwritten digit recognition, reconstructing three-dimensional models of cities and more.
Visual Search Engine (for Graduate Students)
Visual Search refers to a new information retrieval paradigm that extends conventional keyword based query methods to include novel modalities, such as query by visual examples, sketches, and mobile imaging. Several applications such as Google Goggles and Amazon SnapTell are well-known examples. Many exciting and challenging problems exist in this space: extracting robust features to represent visual content, measuring relevance to a query, harnessing the power of multiple modalities, designing novel interfaces for intuitive query, and searching over large databases of millions or even more rrj_images.