Her research is focused on human understanding in videos, specifically action recognition, body shape and motion analysis, and sign languages. See Google Scholar profile for a full list of publications. We tackle the problem of action-conditioned generation of realistic and diverse human motion sequences. In contrast to methods that complete, or extend, motion sequences, this task does not require an initial pose or sequence.
Title: Computer Vision for the Blind Abstract: Blind people have been dreaming of a machine which can recognize objects, people and environment, such as goods in a shop, people around them, or obstacles in a corridor. For many years, such machines were only available in science fiction, but now thanks to the advancement of deep learning and computer vision technologies, it is becoming closer to a reality, by supplementing and augmenting missing or weakened abilities of people with visual impairments. In this talk, I will outline a set of necessary technologies, demonstrate our efforts and cast a vision for near future deployments to change people's lives. She is the recipient of numerous industry and government awards. Asakawa was born with normal sight, but after she injured her optic nerve in a swimming accident at age 11, she began losing her sight, and by age 14 she was fully blind.
Cordelia Schmid is an Inria researcher in the field of computer vision, and more specifically in visual recognition associating invariant image descriptors and learning methods. Her research allows a computer to learn to interpret all types of real images and videos, to recognize objects, but also actions and places, and to index large image and video databases more than one hundred million images. It is thus among the precursors and world leaders of modern visual recognition methods.
Inria SiliconValley. Dec 13 Cordelia Schmid first began developing a new form of image representation back when she started work on her PhD thesis, allowing objects to be recognised in realistic conditions including concealment, rotation, and deformation. This early research already caught the attention of the scientific community.