PhD students
There are three main topics:
* large-scale learning of thousands of object/scene/ attribute categories and their mutual contextual relations from the Internet
* human pose estimation and action recognition in uncontrolled video, such as TV shows
* modeling the parallel between the structure of visual scenes and the structure of natural sentences to aid visual learning and automatic image annotation
Your profile:
* Masters degree (preferably in Computer Science; Mathematics, Electrical Engineering, and Physics are also accepted)
* Solid programming skills; the projects involve programming in Matlab and C++
* Solid mathematics knowledge (especially linear algebra and statistics)
* Creative and highly motivated
* Fluent in English, both written and spoken
* Prior knowledge in the areas of computer vision, machine learning or data mining is a plus (ideally a master thesis in a related field)
Please send applications include:
a complete CV, graduation marks, topic of your master thesis, the name and email address of one reference (preferably your master thesis supervisor). If you already have reserch experience, please include a publication list and references.
For further questions, please contact
Prof. Vittorio Ferrari ( ferrari@vision. ee.ethz.ch )
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