Time+Place: Tuesday 25/04/2017 14:30 Room 337 Taub Bld.
Title: ''Blind'' Visual Inference
Speaker: Michal Irani - COLLOQUIUM LECTURE http://www.weizmann.ac.il/math/irani/
Affiliation: Weizmann Institute, Dept. of CS and App. Math.
Host: Yuval Filmus


In this talk I will show how ''blind'' visual inference  can be
performed by exploiting the internal redundancy inside a single 
visual datum (whether an image or a video).  The strong recurrence of 
patches inside a single image/video provides a powerful data-specific 
prior for solving complex tasks in a ''blind'' manner. The  term
''blind'' here is used with a double meaning: (i) Blind in the sense
that we can make sophisticated inferences about things we have never
seen before, in a totally unsupervised way, with no prior examples
or training data; and  (ii) Blind in the sense that we can solve
complex Inverse-Problems, even when the forward degradation  model
is unknown.

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

1.  "Blind Optics" -- recover optical properties of the unknown
sensor, or optical properties of the unknown environment. This in turn 
gives rise to Blind-Deblurring, Blind Super-Resolution, and 

2.  Segmentation of unconstrained videos and images.

3.  Detection of complex objects and actions (with no prior examples 
or training).

Short Bio:

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 
Alon 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.

Refreshments will be served from 14:15
Lecture starts at 14:30