Silvio Savarese talk starting momentarily in the small auditorium in
the CS Building...
---------- Forwarded message ----------
From: Nicole E. Wagenblast
Date: Tue, Dec 9, 2014 at 9:01 AM
Subject: [talks] Colloquium speaker Silvio Savarese Today, 4:30pm
To: "Talks (colloquium)"
Colloquium Speaker
Silvio Savarese, Stanford University
Tuesday, December 9, 4:30pm
Computer Science 105
Sensing and sensibility
We are moving into a world where sensors will be everywhere and will
be ubiquitous. In the recent years, we have seen an explosion of new
artificial visual sensors that can integrate luminance values with
other sensing modalities: infrared, thermal, gravity, depth, to cite a
few. Sensing is not the hard problem here, however. Sensibility, or,
intelligent understanding of the sensing data is the challenge. When
we look at an environment such as a coffee shop, we don't just
recognize the objects in isolation, but rather perceive a rich scenery
of the 3D space, its objects and all the relations among them. This
allows us to effortlessly navigate through the environment, or to
interact and manipulate objects in the scene with amazing precision.
A major line of work from my group in recent years has been to design
visual models that can process different sensing modalities and enable
sensibility. I will start by giving an overview of our research for
detecting objects and determining their geometric and physical
properties such as 3D location, pose or shape from images, videos or
RGB-Depth imagery. Then, I will demonstrate that these detection
methods play a critical role for modeling the interplay between
objects and space which, in turn, enable simultaneous inference of the
semantic and spatial properties of a scene. I will conclude this talk
by demonstrating that our models for sense and sensibility are
potentially transformative in application areas related to autonomous
or assisted navigation, smart environments, augmented reality, and
large scale information management.
Silvio Savarese is an Assistant Professor of Computer Science at
Stanford University. He earned his Ph.D. in Electrical Engineering
from the California Institute of Technology in 2005 and was a Beckman
Institute Fellow at the University of Illinois at Urbana-Champaign
from 2005-2008. He joined Stanford in 2013 after being Assistant and
then Associate Professor (with tenure) of Electrical and Computer
Engineering at the University of Michigan, Ann Arbor, from 2008 to
2013. His research interests include computer vision, object
recognition and scene understanding, shape representation and
reconstruction, human activity recognition and visual psychophysics.
He is recipient of several awards including the James R. Croes Medal
in 2013, a TRW Automotive Endowed Research Award in 2012, an NSF
Career Award in 2011 and Google Research Award in 2010. In 2002 he was
awarded the Walker von Brimer Award for outstanding research
initiative.
