Dataset Resources
CheXpert: a large dataset of chest X-rays and competition for automated chest x-ray interpretation.
Associate Research Fellow (Filled)
The Visual Information Learning and Analysis group (VILA) at the School of Computing and Information Technology (SCIT), University of Wollongong, Australia, is looking to recruit an Associate Research Fellow (Level A) who will work on the ARC DP200101289 project titled “Learning kernel-based high-order visual representation for image retrieval”.
The Associate Research Fellow will perform the research tasks specified by the project, which include the development of theories, methods, and algorithms to learn visual representations that model the high-order information of image content. The candidate must have solid background and research experience in computer vision, pattern recognition, and machine learning. It is expected that the candidate will complete all the research tasks required by the project within the specified time frame and make significant contributions to the research activities within VILA and SCIT.
Should you have any questions related to this position, please do not hesitate to contact Lei Wang via leiw@uow.edu.au.
Two PhD students (with full PhD scholarships) (Filled)
The Visual Information Learning and Analysis group (VILA) at the School of Computing and Information Technology (SCIT), University of Wollongong, Australia, is looking to recruit two PhD students to work on the following topics including, but not limited to, high-order visual representation, image retrieval, low-shot learning, deep unsupervised/semi-supervised learning, and long-tailed classification.
Each student will be supported by a full UOW PhD scholarship, including a Tuition fee scholarship and a stipend scholarship. The candidate must meet the entry requirements listed at this UOW website and is able to demonstrate knowledge in the fields relevant to computer vision, pattern recognition, and machine learning. Excellent Math and programming skills are highly desirable. Having publications at leading and well-regarded conferences and/or journals in the related fields is a big plus.
Should you have any questions related to this position, please do not hesitate to contact Lei Wang (leiw@uow.edu.au) or Peng Wang (pengw@uow.edu.au).