University of Washington Computer Science & Engineering
 Kevin Lai
 Home
 Research
 Publications
 Datasets
 Demos
   
Kevin Lai Computer Science & Engineering
Box 352350, University of Washington
Seattle, WA 98195-2350

Email: kevinlai "at" the UW CSE web domain (cs dot washington dot edu)

CV    Google Scholar


Biography

In March 2014 I joined Amazon as a research scientist, working as part of a team on a confidential business initiative where computer vision and machine learning play a central role. We are hiring!

I completed my Ph.D. in Computer Science at the University of Washington with Professor Dieter Fox in Dec 2013. Before that, I obtained my B.Sc. in Computer Science at the University of British Columbia.

My research interests are in object recognition, natural scene understanding, and using machine learning techniques to solve robot perception problems. During my Ph.D., I investigated the detection and recognition of objects in indoor household environments. We worked with data collected using Microsoft Kinect style RGB-D cameras, which can simultaneously collect aligned RGB and depth images at high framerates. During my Ph.D., I collaborated closely with the Intel Science and Technology Center for Pervasive Computing.

News

  • April 5, 2014 - The RGB-D Scenes Dataset v.2 is now available here. It contains 14 new scenes reconstructed from RGB-D videos with furniture and tabletop objects, as well as Trimble 3D Warehouse objects used to learn HMP3D features and classifiers in our ICRA'14 paper!
  • March 1, 2014 - I joined Amazon as a research scientist. We are hiring!
  • Nov 22, 2013 - I successfully defended my PhD thesis: Object Recognition and Semantic Scene Labeling using RGB-D Data!
  • July 14, 2013 - Code for HMP features now available here. It achieves state-of-the-art results on the RGB-D Object Dataset!
  • December 13, 2012 - Software and data for detection-based object labeling in Kinect videos now available here.
  • October 3, 2012 - The RGB-D Object Dataset is now available for download directly from the website! No more sending emails necessary (questions and suggestions are, of course, still welcomed!).
  • May 12, 2011 - We won the ICRA 2011 Best Vision Paper Award! Sparse Distance Learning for Object Recognition Combining RGB and Depth Information
  • Feb 22, 2011 - The RGB-D Object Dataset is now available! This is a large dataset of 300 objects recorded using a Kinect style 3D camera.

Publications

Unsupervised Feature Learning for 3D Scene Labeling
Kevin Lai, Liefeng Bo, and Dieter Fox
IEEE International Conference on Robotics and Automation (ICRA), May 2014. [PDF] [bibtex] [video]

RGB-D Object Recognition: Features, Algorithms, and a Large Scale Benchmark.
Kevin Lai, Liefeng Bo, Xiaofeng Ren, and Dieter Fox.
Consumer Depth Cameras for Computer Vision: Research Topics and Applications, 2013. [LINK] [bibtex]

Detection-based Object Labeling in 3D Scenes
Kevin Lai, Liefeng Bo, Xiaofeng Ren, and Dieter Fox
IEEE International Conference on Robotics and Automation (ICRA), May 2012. [PDF] [bibtex] [video] [code]

A Scalable Tree-based Approach for Joint Object and Pose Recognition
Kevin Lai, Liefeng Bo, Xiaofeng Ren, and Dieter Fox
Twenty-Fifth Conference on Artificial Intelligence (AAAI), August 2011. [PDF] [bibtex] [slides]

Object Recognition with Hierarchical Kernel Descriptors
Liefeng Bo, Kevin Lai, Xiaofeng Ren, and Dieter Fox
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2011. [PDF] [bibtex]

Sparse Distance Learning for Object Recognition Combining RGB and Depth Information
Kevin Lai, Liefeng Bo, Xiaofeng Ren, and Dieter Fox
IEEE International Conference on Robotics and Automation (ICRA), May 2011. [PDF] [bibtex] [slides]
Best Vision Paper Award.

A Large-Scale Hierarchical Multi-View RGB-D Object Dataset
Kevin Lai, Liefeng Bo, Xiaofeng Ren, and Dieter Fox
IEEE International Conference on Robotics and Automation (ICRA), May 2011. [PDF] [bibtex] [poster] [dataset]

Object Recognition in 3D Point Clouds Using Web Data and Domain Adaptation
Kevin Lai and Dieter Fox
International Journal of Robotics Research 29(8), Jul 2010. [PDF] [bibtex]

3D Laser Scan Classification Using Web Data and Domain Adaptation
Kevin Lai and Dieter Fox
Robotics: Science and Systems (RSS), Jul 2009. [PDF] [bibtex] [poster]

Curious George: An Attentive Semantic Robot
David Meger, Per-Erik Forssén, Kevin Lai, Scott Helmer, Sancho McCann, Tristram Southey, Matthew Baumann, James J. Little, and David G. Lowe
Robotics and Autonomous Systems Journal 56(6), Jun 2008. [PDF] [bibtex]

Informed Visual Search: Combining Attention and Object Recognition
Per-Erik Forssén, David Meger, Kevin Lai, Scott Helmer, James J. Little, and David G. Lowe
IEEE International Conference on Robotics and Automation (ICRA) 2008, May 2008. [PDF] [bibtex]

Curious George: An Attentive Semantic Robot
David Meger, Per-Erik Forssén, Kevin Lai, Scott Helmer, Sancho McCann,Tristram Southey, Matthew Baumann, James J. Little, David G. Lowe, and Bruce Dow
IROS 2007 Workshop: From Sensors to Human Spatial Concepts, Nov 2007. [PDF] [bibtex]

Curious George: The UBC Semantic Robot Vision System
Scott Helmer, David Meger, Per-Erik Forssén, Sancho McCann, Tristram Southey, Matthew Baumann, Kevin Lai, Bruce Dow, James J. Little, and David G. Lowe
AAAI-07 Mobile Robot Workshop Technical Report, AAAI-WS-07-15, Oct 2007. [PDF] [bibtex]

Thesis

Object Recognition and Semantic Scene Labeling for RGB-D Data
Kevin Lai
Ph.D. Dissertation, Dec 2013. [PDF]


Locations of visitors to this page