Xiaofeng Ren

Intel Labs Seattle
1100 NE 45th St., 6th Floor
Seattle, WA 98105

Phone: Fax: Email:

(206) 545-2523 (206) 633-6504 xiaofeng.ren at intel.com

I am interested in all aspects of computer vision, as I believe all are needed to solve it. I have worked on many vision problems including local descriptors, boundary detection, image segmentation, figure-ground grouping, object and pose recognition, human body detection and pose estimation, object segmentation and tracking, optical flow, and 3D reconstruction. Recently, I have had opportunities to work on vision-related problems in robotics and human-computer interaction.

I joined Intel Labs Seattle in 2008. Prior to Seattle, I was a research assistant professor at the Toyota Technological Institute at Chicago (TTI-C). I received my Ph.D. from U.C. Berkeley in 2006, under the supervision of Jitendra Malik.

Recent Updates

• The RGB-D 2011 workshop has been confirmed and will be held on June 27 in conjunction with RSS 2011 -- please stay tuned!
• Our RGB-D dataset (ICRA 2011) is now available online covering 300 everyday objects. Send us comments!
• Two papers to appear at CVPR 2011 on kernel descriptors and egocentric video.
• Three papers accepted at ICRA 2011 on object recognition and discovery. Congratulations Kevin and Evan.
• OASIS / Interactive LEGO demo at CES, robust RGB-D recognition using kernel descriptors.
• HeatWave paper accepted at CHI 2011, cool results and another example of non-regular cameras.
• Kernel Descriptor paper at NIPS 2010, framework for local features beyond SIFT with strong recognition results.
• Colloquium talk at the UW CSE Deparment on RGB-D Perception beyond gestures.
• New RGB-D project webpage and new RGBDvision channel on youtube (~300,000 clicks already).
• Affiliate assistant professor appointment at the CSE Deparment, University of Washington.
• Co-organized the RGB-D Perception workshop at RSS 2010 (all slides online).
• Co-organized the Egocentric vision workshop at CVPR 2009 (presented the Intel egocentric object dataset).

Publications

• Object Recognition with Hierarchical Kernel Descriptors.  
    Liefeng Bo, Xiaofeng Ren and Dieter Fox, at CVPR 2011.
  
  
• Learning to Recognize Objects in Egocentric Activities.  
    Alireza Fathi, Xiaofeng Ren and Jim Rehg, to appear at CVPR 2011.
  
  
• A Large-Scale Hierarchical Multi-View RGB-D Object Dataset. [abstract] [pdf] [dataset]  
    Kevin Lai, Liefeng Bo, Xiaofeng Ren and Dieter Fox, to appear at ICRA 2011.
  
  
• Sparse Distance Learning for Object Recognition Combining RGB and Depth Information. [abstract] [pdf]  
    Kevin Lai, Liefeng Bo, Xiaofeng Ren and Dieter Fox, to appear at ICRA 2011.
  
  
• Toward Object Discovery and Modeling via 3-D Scene Comparison. [abstract] [pdf]  
    Evan Herbst, Xiaofeng Ren and Dieter Fox, to appear at ICRA 2011.
  
  
• Kernel Descriptors for Visual Recognition. [abstract] [pdf]  
    Liefeng Bo, Xiaofeng Ren and Dieter Fox, at NIPS 2010.
  
  
• RGB-D Mapping: Using Depth Cameras for Dense 3D Modeling of Indoor Environments . [abstract] [pdf]  
    Peter Henry, Michael Krainin, Evan Herbst, Xiaofeng Ren and Dieter Fox, at ISER 2010.
  
  
• Discriminative Mixture-of-Templates for Viewpoint Classification.   [abstract] [pdf]
    Chunhui Gu and Xiaofeng Ren, at ECCV 2010, Crete, Greece, 2010.
  
  
• Manipulator and Object Tracking for In Hand Model Acquisition.   [pdf]
    Michael Krainin, Peter Henry, Xiaofeng Ren and Dieter Fox, at the Mobile Manipulation and Best Practices in Robotics Workshops at ICRA 2010.
  
  
• Figure-Ground Segmentation Improves Handled Object Recognition in Egocentric Video.   [abstract] [pdf] [videos]
    Xiaofeng Ren and Chunhui Gu, at CVPR 2010, San Francisco, 2010.
  
  
• Egocentric Recognition of Handled Objects: Benchmark and Analysis.   [abstract] [pdf]
    Xiaofeng Ren and Matthai Philipose, in Egovision Workshop '09, Miami, 2009.
  
  
• Multi-Scale Improves Boundary Detection in Natural Images.   [abstract] [pdf]
    Xiaofeng Ren, in ECCV '08, Marseille, 2008.
  
  
• Finding People in Archive Films through Tracking.   [abstract] [pdf]
    Xiaofeng Ren, in CVPR '08, Anchorage, 2008.
  
  
• Local Grouping for Optical Flow.   [abstract] [pdf]
    Xiaofeng Ren, in CVPR '08, Anchorage, 2008.
  
  
• Tracking as Repeated Figure/Ground Segmentation.   [abstract] [pdf] [ps] [bibtex] [video]
    Xiaofeng Ren and Jitendra Malik, in CVPR '07, Minneapolis 2007.
  
  
• Learning and Matching Line Aspects for Articulated Objects.   [abstract] [pdf] [ps] [bibtex]
    Xiaofeng Ren, in CVPR '07, Minneapolis 2007.
  
  
• Figure/Ground Assignment in Natural Images.   [abstract] [pdf] [ps] [bibtex]
    Xiaofeng Ren, Charless Fowlkes and Jitendra Malik, in ECCV '06, volume 2, pages 614-627, Graz 2006.
  
  
• Learning Probabilistic Models for Contour Completion in Natural Images.   [pdf]
    Xiaofeng Ren, Charless Fowlkes and Jitendra Malik, in IJCV Special Issue on Machine Learning for Vision, May 2008.
  
  
• Cue Integration in Figure/Ground Labeling.   [abstract] [pdf] [bibtex]
    Xiaofeng Ren, Charless Fowlkes and Jitendra Malik, in NIPS '05, Vancouver 2005.
  
  
• Recovering Human Body Configurations using Pairwise Constraints between Parts.   [abstract] [pdf] [bibtex]
    Xiaofeng Ren, Alex Berg and Jitendra Malik, in ICCV '05, volume 1, pages 824-831, Beijing 2005.
  
  
• Scale-Invariant Contour Completion using Conditional Random Fields.   [abstract] [pdf] [ps] [bibtex]
    Xiaofeng Ren, Charless Fowlkes and Jitendra Malik, in ICCV '05, volume 2, pages 1214-1221, Beijing 2005.
  
  
• Familiar Configuration Enables Figure/Ground Assignment in Natural Scenes.   [abstract] [poster] [bibtex]
    Xiaofeng Ren, Charless Fowlkes and Jitendra Malik, in VSS 05, Sarasota, FL 2005.
  
  
• Mid-level Cues Improve Boundary Detection.   [abstract] [pdf] [ps] [bibtex]
    Xiaofeng Ren, Charless Fowlkes and Jitendra Malik, Berkeley Technical Report 05-1382, CSD 2005.
  
  
• Recovering Human Body Configurations: Combining Segmentation and Recognition.   [abstract] [pdf] [ps] [bibtex]
    Greg Mori, Xiaofeng Ren, Alyosha Efros and Jitendra Malik, in CVPR '04, volume 2, pages 326-333, Washington, DC 2004.
  
  
• Learning a Classification Model for Segmentation.   [abstract] [pdf] [ps] [bibtex]
    Xiaofeng Ren and Jitendra Malik, in ICCV '03, volume 1, pages 10-17, Nice 2003.
  
  
• The Ecological Statistics of Good Continuation: Multi-scale Markov Models for Contours.   [abstract] [talk] [bibtex]
    Xiaofeng Ren and Jitendra Malik, in VSS 02, Sarasota, FL 2002.
  
  
• A Probabilistic Multi-scale Model for Contour Completion Based on Image Statistics.   [abstract] [pdf] [ps] [bibtex]
    Xiaofeng Ren and Jitendra Malik, in ECCV '02, volume 1, pages 312-327, Copenhagen 2002.