Teaching
Research
Publication
whoAmI
Database
Software

GRASP Laboratory, Levine Hall, 3330 Walnut Street, Philadelphia, PA 19104-6389. Tel: 215 746 2851, FAX: 215 573 2048

Announcement

Remembering Ben Taskar .

Thoughts on Research: statement
Talk slides of CVPR 2004 Tutorial on Graph Based Image Segmentation are available online. Download here.
Normalized Cut image segmentation and data clustering MATLAB code is now: Download here.

Teaching

Fall 2011: CIS581, Computer Vision MW 4:30-6:00pm, Towne 311.
Fall 2008: CSE390/MEAM420, Robotics TR 4:30-6:00pm, Moore 216

Research

My primary research interests are in computer vision. I am also very interested in more general questions in AI and machine learning. My current research topics include:

Recent Projects and Publications

  • Pose from Flow and Flow from Pose


  • Katerina Fragkiadaki, Weiyu Zhang, Geng Zhang, and Jianbo Shi
    Computer Vision and Pattern Recognition (CVPR), 2013

  • Two Granularity Tracking: Mediating Trajectory and Detection Graphs for Tracking under Occlusions

  • Poster
    Katerina Fragkiadaki, Weiyu Zhang, Geng Zhang, and Jianbo Shi
    European Conference on Computer Vision (ECCV), 2012

  • Video Segmentation by tracing Discontinuities in a Trajectory Embedding
  • Poster
    Katerina Fragkiadaki, Geng Zhang, Jianbo Shi
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012

  • Structural-Flow Trajectories for Unravelling Tubular Structure Bundles
  • Poster
    Katerina Fragkiadaki, Weiyu Zhang, Jianbo Shi, and Elena Bernardis.
    International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Oct.2012

  • Multi-hypothesis Motion Planning for Visual Object Tracking
  • Talk slides, Poster
    Haifeng Gong, Jack Sim, Maxim Likhachev, Jianbo Shi
    International Conference on Computer Vision (ICCV), 2011

  • Discriminative Image Warping with Attribute Flow
  • Talk slides, Poster
    Weiyu Zhang, Praveen Srinivasan, Jianbo Shi
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011

  • Detection Free Tracking: Exploiting Motion and Topology for Segmenting and Tracking under Entanglement
  • Poster
    Katerina Fragkiadaki, and Jianbo Shi
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011

  • Contour cut: identifying salient contour in images by solving a Hermitian eigenvealue problem
  • Poster
    Ryan Kennedy, Jean Gallier, and Jianbo Shi
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011

  • Many-to-one Contour Matching for Describing and Discriminating Object Shape ,
  • Talk slides
    Praveen Srinivasan, Qihui Zhu, and Jianbo Shi
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010

  • Understanding Videos, Contructing Plots: Learning a Visually Grounded Storyline Model from Annotated Video ,

  • Abhinav Gupta, Praveen Srinivasan, Jianbo Shi, and Larry Davis,
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2009

  • A "Shape Aware" Model for semi-supervised Learning for Objects and its Context,
  • Abhinav Gupta, Jianbo Shi, and Larry Davis,
    Advances in Neural Information Processing Systems (NIPS), 2008

  • "Grouping Contours Via a Related Image,
  • Praveen Srinivasan, Liming Wang, Jianbo Shi,
    Advances in Neural Information Processing Systems (NIPS), 2008

  • Contour Context Selection for Object Detection: A Set-to-Set Contour Matching Approach,
  • Qihui Zhu, Liming Wang, Yang Wu, Jianbo Shi,
    The 10th European Conference on Computer Vision (ECCV), 2008, Marseille, France

  • Saliency Based Opportunistic Search for Object Part Extraction and Labeling,
  • Yang Wu, Qihui Zhu, Jianbo Shi, Nanning Zheng
    The 10th European Conference on Computer Vision (ECCV), 2008, Marseille, France

  • Object Detection Combining Recognition and Segmentation,
  • Liming Wang, Jianbo Shi, Gang Song, I-Fan Shen,
    Eighth Asian Conference on Computer Vision (ACCV), 2007
    [Source code and Project Page: download ]
    [Database: Penn-Fudan Pedstrian Detection and Segmentation]
  • Untangling Cycles for Contour Grouping,
  • Qihui Zhu, Gang Song and Jianbo Shi,
    IEEE International Conference on Computer Vision (ICCV), 2007
    [ Tech. Report: extended discussion on directed random walk.]
    [ Talk slides ]
  • Bottom-up Recognition and Parsing of the Human Body,
  • Praveen Srinivasan and Jianbo Shi,
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2007
    an extension with image feature learning appeared in
    The Sixth International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), 2007
    [Talk Slides]
    [ Project Web Page]
  • Image Matching via Saliency Region Correspondences,
  • Alexander Toshev, Jianbo Shi, and Kostas Daniilidis,
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2007
    [Talk Slides]
  • Recognizing Objects by Piecing Together the Segmentation Puzzle,
    Timothee Cour and Jianbo Shi,
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2007
    [Poster]
  • Solving Markov Random Fields with Spectral Relaxation,
  • Timothee Cour and Jianbo Shi,
    IEEE International Conference on Artificial Intelligence and Statistics (AISTAT), 2007
    [Poster]
  • Balanced Graph Matching,
  • Timothee Cour, Praveen Srinivasan, and Jianbo Shi,
    Neural Information Processing Systems (NIPS), 2006
    [supplement: Affinely Constrained Rayleigh Quotients]
    [Poster]
  • Shape from Shading: Recognizing mountains through a Global View,
  • Qihui Zhu and Jianbo Shi,
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR) June 2006
    [Talk Slide, Poster]
  • Comparing Classification Performance of Feature Ensemble: Detecting Prostate Cancer from High Resolution MRI,
  • Anant Madabhushi, Jianbo Shi, Mark Rosen, John Tomaszeweski, Michael Feldman,
    Computer Vision Approaches to Medical Image Analysis Workshop, ECCV 2006
  • Graph Embedding for Improving Supervised Classification & Novel Class Detection: Prostate Cancer,
  • Anant Madabhushi, Jianbo Shi, M. Rosen, M. Feldman and J. Tomaszweski,
    International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Oct.2005
  • Spectral Segmentation with Multi-Scale Graph Decomposition ,
  • Timothee Cour, Florence Benezit, Jianbo Shi,
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2005.
    [Talk Slide, Poster]
  • Learning Spectral Graph Segmentation,
  • Timothee Cour, Jianbo Shi, Nicolas Gogin,
    IEEE International Conference on Artificial Intelligence and Statistics (AISTAT) 2005.
    [Talk Slides]
  • Seeing Through Water,
  • A. Efros, V. Isler, J. Shi, M. Visontai,
    Neural Information Processing Systems (NIPS), 2004
  • Detecting Unusual Activity in Video ,
  • H. Zhong, J. Shi and M. Visontai,
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2004
    [Web site]
  • Segmentation Given Partial Grouping Constraints,
  • Stella X. Yu and Jianbo Shi,
    IEEE Transactions on Pattern Analysis and Machine Intelligence, 26(2):173-83, 2004
  • Selected Publications

    Tutorials:

    Ph.D. Students


  • Jeffrey Byrne
  • Jihua Huang
  • Yedong Niu
  • Jack Sim
  • Andrew Yeager
  • Former Master Students: Ikkjin Ahn (2005-2006) (now at UCSD), Timothee Cour (2003-2006), Mirko Visontai (2003-2005)

    Internships: Remi Cuingnet (April-July 2006), Pierre Fournier, Remy Sergent (April-July 2005), Florence Benezit, Nicolas Gogin, Aurelien Louis (April-July 2004), Olivier Dechazal(April-December 2003).

    Former Ph.D. Students:


    Travel Photos, pre-2004
    Two Musketeers