The FAUST dataset wins the "Dataset Award" at the Eurographics Symposium on Geometry Processing 2016. The award encourages and recognises the importance of the distribution of high-quality datasets on which geometry processing algorithms are tested.
Young, excellent and motivated - Jonas Peters has been elected as one of ten new members to the "Junge Akademie" and will contribute to the interdisciplinary work of this organization. Congratulations!
A Nao flies East and helps Laura Sevilla to teach technology knowledge to children from the Philippines
Fascinated Kids with excited faces and curious voices, expressing happiness and thankfulness...- these emotions were raised by a little NAO robot that was the main actor of a robot workshop that took place in May 2015 in the Philippines. Laura Sevilla, a PostDoc at the MPI for Intelligent Systems in Tübingen, took two months off and volunteered more than five weeks in order to organize and lead this workshop.
Medal-Marathon for Robotics Researcher
Tübingen – Stockholm – Berlin – Stockholm – Tübingen; Ludovic Righetti receives within 24 hours two renowned prizes for young researchers for his outstanding science on movements of robots
Dr. Black recognized for his leadership in advancing body modeling and computer vision sciences
Body Labs (bodylabs.com), the provider of the world's most advanced technology for analyzing the human body's shape, pose and motion, announced today that Michael J. Black, Body Labs co-founder and board member, will be inducted as a foreign member of the Royal Swedish Academy of Sciences.
Cordelia Schmid, an Inria research director, has received the Humboldt Research Award for her work on computer vision spanning more than 20 years.
She was nominated for this scientific award by Michael Black, the director of the Perceiving Systems department at the Max Planck Institute for Intelligent Systems in Tübingen, Germany. As the director of the LEAR team and then the Thoth team since 1 January 2016, Cordelia Schmid is particularly interested in visual recognition linking invariant image descriptors with learning methods. Her research enables a computer to learn not only to interpret all types of real images and videos, but also to recognize objects, actions and places by learning large image and video bases containing more than 100 million images. Cordelia Schmid figures among the world’s precursors and leaders in the field of modern visual recognition methods; she is also named in the “Highly Cited Researchers 2015” list (source: Thomson Reuters).