ICCV@Kyoto
09/10/09 12:15
Got back from ICCV 2009 in Kyoto. The
conference was very well organized, and
the trip was pleasant.
ICCV 2009
18/07/09 13:28
“GroupSAC: Efficient Consensus in
the Presence of Groupings”, by Kai Ni,
Hailin Jin, and Frank Dellaert, in IEEE
Intl. Conf. on Computer Vision, ICCV, (Kyoto, Japan),
September 2009.
See the details here.
See the details here.
Internship at Microsoft Robotics
08/05/09 06:24
I will be doing an internship at Microsoft Robotics this
summer with George
Chrysanthakopoulos and
Kazuhito Koishida.
ICRA 2009
18/04/09 03:18
"Flow Separation for Fast and Robust Stereo
Odometry", by Michael Kaess, Kai Ni, and
Frank Dellaert, In IEEE
Intl. Conf. on Robotics and Automation,
ICRA, (Kobe, Japan),
May 2009.
CVPR 2008 award
01/07/08 05:06
Just got back from from Anchorage, AK for CVPR
2008. My paper “Epitomic
location recognition” won the award of
the Best Student Paper
Runner-Up. Thanks my colleagues and
people who kindly supported me in this
project! The slides can be downloaded
here.
Summer internship
17/05/08 17:17
I am currently doing a summer internship with
Hailin Jin on Adobe's
San Jose site. Here is a panorama of
Meteor Crater that I took on the way.
Homepage Rebuilt
27/04/08 16:02
With the help of RapidWeaver, I rebuilt
my homepage with this new look. The whole
transition turns out to be much easier and
way more pleasant than I expected. Some
cool plugins from YourHead are also fun to
use.
I am a Ph.D. student in College of Computing, Georgia Institute of
Technology. My research interests include
computer vision and machine learning. Frank Dellaert is my advisor. I
got my B.S. and M.S. from Tsinghua University in China.
My current work mainly focuses on large-scale 3D reconstruction. It is interesting to me because of its full usage of graph theory, sparse linear algebra, and statistics. You are welcome to subscribe the RSS feed
to keep updated.
My current work mainly focuses on large-scale 3D reconstruction. It is interesting to me because of its full usage of graph theory, sparse linear algebra, and statistics. You are welcome to subscribe the RSS feed
to keep updated.