Prof. Michal Irani

Prof. Michal Irani

Senior Researcher, Department of Computer Science and Applied Mathematics
Weizmann Institute of Science

Michal Irani is a Professor at the Weizmann Institute of Science, in the Department of Computer Science and Applied Mathematics. She received a B.Sc. degree in Mathematics and Computer Science from the Hebrew University of Jerusalem, and M.Sc. and Ph.D. degrees in Computer Science from the same institution. During 1993-1996 she was a member of the Vision Technologies Laboratory at the Sarnoff Research Center (Princeton). She joined the Weizmann Institute in 1997. Michal's research interests center around computer vision, image processing, and video information analysis. Michal's prizes and honors include the David Sarnoff Research Center Technical Achievement Award (1994), the Yigal Allon three-year Fellowship for Outstanding Young Scientists (1998), the Morris L. Levinson Prize in Mathematics (2003), and the Maria Petrou Prize (awarded by the IAPR) for outstanding contributions to the fields of Computer Vision and Pattern Recognition (2016). She received the ECCV Best Paper Award in 2000 and in 2002, and was awarded the Honorable Mention for the Marr Prize in 2001 and in 2005.

Title:Video Inference by Composition

In this talk I will show how complex video analysis can be performed by exploiting the internal redundancy inside a single video. Composing internal chunks of the visual datum allows to make sophisticated inferences about dynamic scenes and events we have never seen before, in a totally unsupervised way, with no prior examples or training data.

I will show the power of  this approach through a variety of example problems (as time permits), including:

  1. Segmentation of unconstrained videos and images.
  2. Unsupervised discovery of new video categories.
  3. Detection of complex objects and actions (with no prior examples or training).
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