Bay Area Vision Meeting: Learning Representations for Real-world Recognition





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Published on Apr 15, 2011

Bay Area Vision Meeting (more info below)
Learning Representations for Real-world Recognition
Trevor Darrell
March 7, 2011


Methods for visual recognition had made dramatic strides in recent
years on various online benchmarks, but performance in the real world
still often falters. Classic bag-of-local-feature models make overly
simplistic assumptions regarding image appearance statistics, both
locally and globally. Recent progress suggests that new
learning-based representations can improve recognition by devices that
are embedded in a physical world. I'll review new methods for domain
adaptation which capture the visual domain shift between environments,
and improve recognition of objects in specific places when trained
from generic online sources. I'll also present recent results
learning hierarchical local image representations based on recursive
probabilistic topic models, and on learning strong object color models
from sets of uncalibrated views, using a new multi-view color
constancy paradigm. Finally, I'll mention other efforts in my lab,
including efforts to exploit Primesense/KINECT sensors for indoor
object category recognition.

Prof. Trevor Darrell is on the faculty of the UC Berkeley EECS
department, and leads the computer vision group at the International
Computer Science Institute in Berkeley, CA. He obtained the PhD from
MIT in 1996, and worked at Interval Research in Palo Alto from 1996 to
1999. From 1999 to 2008 he served on the faculty of the MIT EECS
department, where he led the CSAIL Vision Interfaces group. In 2008 he
returned to the west coast, and since then has been pursuing his
interests in visual perception, machine learning, multimodal
interfaces, and entrepreneurial activity in Berkeley. Prof. Darrell
has authored over 100 journal and conference papers, has served on the
editorial boards of PAMI and the Artificial Intelligence Journal, and
served as Program Chair for CVPR 2010. He also serves on the advisory
boards of local start-ups IQ Engines and BotSquare.


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