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James M. Rehg: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Sang Min Oh, James M. Rehg, Tucker R. Balch, Frank Dellaert
    Data-Driven MCMC for Learning and Inference in Switching Linear Dynamic Systems. [Citation Graph (0, 0)][DBLP]
    AAAI, 2005, pp:944-949 [Conf]
  2. Sarosh Talukdar, James M. Rehg, Rob Woodbury, Alberto Elfes
    Upgrading Design Systems. [Citation Graph (0, 0)][DBLP]
    AAAI, 1988, pp:336-341 [Conf]
  3. Pei Yin, Irfan A. Essa, James M. Rehg
    Boosted Audio-Visual HMM for Speech Reading. [Citation Graph (0, 0)][DBLP]
    AMFG, 2003, pp:68-73 [Conf]
  4. Jay Summet, Gregory D. Abowd, Gregory M. Corso, James M. Rehg
    Virtual rear projection: do shadows matter? [Citation Graph (0, 0)][DBLP]
    CHI Extended Abstracts, 2005, pp:1997-2000 [Conf]
  5. Mark Ashdown, Matthew Flagg, Rahul Sukthankar, James M. Rehg
    A Flexible Projector-Camera System for Multi-Planar Displays. [Citation Graph (0, 0)][DBLP]
    CVPR (2), 2004, pp:165-172 [Conf]
  6. Tat-Jen Cham, James M. Rehg
    A Multiple Hypothesis Approach to Figure Tracking. [Citation Graph (0, 0)][DBLP]
    CVPR, 1999, pp:2239-2245 [Conf]
  7. Tat-Jen Cham, James M. Rehg, Rahul Sukthankar, Gita Sukthankar
    Shadow Elimination and Occluder Light Suppression for Multi-Projector Displays. [Citation Graph (0, 0)][DBLP]
    CVPR (2), 2003, pp:513-520 [Conf]
  8. David E. DiFranco, Tat-Jen Cham, James M. Rehg
    Reconstruction of 3-D Figure Motion from 2-D Correspondences. [Citation Graph (0, 0)][DBLP]
    CVPR (1), 2001, pp:307-314 [Conf]
  9. Michael J. Jones, James M. Rehg
    Statistical Color Models with Application to Skin Detection. [Citation Graph (0, 0)][DBLP]
    CVPR, 1999, pp:1274-1280 [Conf]
  10. Daniel D. Morris, James M. Rehg
    Singularity Analysis for Articulated Object Tracking. [Citation Graph (0, 0)][DBLP]
    CVPR, 1998, pp:289-297 [Conf]
  11. Sang Min Oh, James M. Rehg, Frank Dellaert
    Parameterized Duration Mmodeling for Switching Linear Dynamic Systems. [Citation Graph (0, 0)][DBLP]
    CVPR (2), 2006, pp:1694-1700 [Conf]
  12. Vladimir Pavlovic, James M. Rehg
    Impact of Dynamic Model Learning on Classification of Human Motion. [Citation Graph (0, 0)][DBLP]
    CVPR, 2000, pp:1788-1795 [Conf]
  13. Vladimir Pavlovic, James M. Rehg, Ashutosh Garg, Thomas S. Huang
    Multimodal Speaker Detection Using Error Feedback Dynamic Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    CVPR, 2000, pp:2034-0 [Conf]
  14. James M. Rehg, Maria Loughlin, Keith Waters
    Vision for a smart kiosk. [Citation Graph (0, 0)][DBLP]
    CVPR, 1997, pp:690-0 [Conf]
  15. James M. Rehg, Kevin P. Murphy, Paul W. Fieguth
    Vision-Based Speaker Detection Using Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    CVPR, 1999, pp:2110-2116 [Conf]
  16. Henry A. Rowley, James M. Rehg
    Analyzing Articulated Motion Using Expectation-Maximization. [Citation Graph (0, 0)][DBLP]
    CVPR, 1997, pp:935-0 [Conf]
  17. Jie Sun, James M. Rehg, Aaron F. Bobick
    Automatic Cascade Training with Perturbation Bias. [Citation Graph (0, 0)][DBLP]
    CVPR (2), 2004, pp:276-283 [Conf]
  18. Ping Wang, James M. Rehg
    A Modular Approach to the Analysis and Evaluation of Particle Filters for Figure Tracking. [Citation Graph (0, 0)][DBLP]
    CVPR (1), 2006, pp:790-797 [Conf]
  19. Pei Yin, Irfan A. Essa, James M. Rehg
    Asymmetrically Boosted HMM for Speech Reading. [Citation Graph (0, 0)][DBLP]
    CVPR (2), 2004, pp:755-761 [Conf]
  20. S. Charles Brubaker, Matthew D. Mullin, James M. Rehg
    Towards Optimal Training of Cascaded Detectors. [Citation Graph (0, 0)][DBLP]
    ECCV (1), 2006, pp:325-337 [Conf]
  21. Ingemar J. Cox, James M. Rehg, Sunita L. Hingorani
    A Bayesian Multiple Hypothesis Approach to Contour Grouping. [Citation Graph (0, 0)][DBLP]
    ECCV, 1992, pp:72-77 [Conf]
  22. James M. Rehg, Takeo Kanade
    Visual Tracking of High DOF Articulated Structures: an Application to Human Hand Tracking. [Citation Graph (0, 0)][DBLP]
    ECCV (2), 1994, pp:35-46 [Conf]
  23. Ashutosh Garg, Vladimir Pavlovic, James M. Rehg
    Audio-Visual Speaker Detection Using Dynamic Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    FG, 2000, pp:384-390 [Conf]
  24. Xiang Song, Namgeun Jeong, Phillip W. Hutto, Umakishore Ramachandran, James M. Rehg
    State Management in Web Services. [Citation Graph (0, 0)][DBLP]
    FTDCS, 2004, pp:21-27 [Conf]
  25. Vladimir Pavlovic, James M. Rehg, Tat-Jen Cham
    A Dynamic Bayesian Network Approach to Tracking Using Learned Switching Dynamic Models. [Citation Graph (0, 0)][DBLP]
    HSCC, 2000, pp:366-380 [Conf]
  26. Tat-Jen Cham, James M. Rehg
    Dynamic Feature Ordering for Efficient Registration. [Citation Graph (0, 0)][DBLP]
    ICCV, 1999, pp:1084-1091 [Conf]
  27. Vladimir Pavlovic, James M. Rehg, Tat-Jen Cham, Kevin P. Murphy
    A Dynamic Bayesian Network Approach to Figure Tracking using Learned Dynamic Models. [Citation Graph (0, 0)][DBLP]
    ICCV, 1999, pp:94-101 [Conf]
  28. Sang Min Oh, James M. Rehg, Tucker R. Balch, Frank Dellaert
    Learning and Inference in Parametric Switching Linear Dynamical Systems. [Citation Graph (0, 0)][DBLP]
    ICCV, 2005, pp:1161-1168 [Conf]
  29. James M. Rehg, Takeo Kanade
    Model-Based Tracking of Self-Occluding Articulated Objects. [Citation Graph (0, 0)][DBLP]
    ICCV, 1995, pp:612-617 [Conf]
  30. Rahul Sukthankar, Tat-Jen Cham, Gita Sukthankar, James M. Rehg, David Hsu, Thomas Leung
    Self-Calibrating Camera Projector Systems for Interactive Displays and Presentations. [Citation Graph (0, 0)][DBLP]
    ICCV, 2001, pp:748- [Conf]
  31. James M. Rehg, Sing Bing Kang, Tat-Jen Cham
    Video Editing Using Figure Tracking and Image-Based Rendering. [Citation Graph (0, 0)][DBLP]
    ICIP, 2000, pp:- [Conf]
  32. Vladimir Pavlovic, Ashutosh Garg, James M. Rehg
    Multimodal Speaker Detection Using Input/Output Dynamic Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    ICMI, 2000, pp:308-316 [Conf]
  33. Yushi Jing, Vladimir Pavlovic, James M. Rehg
    Efficient discriminative learning of Bayesian network classifier via boosted augmented naive Bayes. [Citation Graph (0, 0)][DBLP]
    ICML, 2005, pp:369-376 [Conf]
  34. Jianxin Wu, Matthew D. Mullin, James M. Rehg
    Linear Asymmetric Classifier for cascade detectors. [Citation Graph (0, 0)][DBLP]
    ICML, 2005, pp:988-995 [Conf]
  35. Tanzeem Choudhury, James M. Rehg, Vladimir Pavlovic, Alex Pentland
    Boosting and Structure Learning in Dynamic Bayesian Networks for Audio-Visual Speaker Detection. [Citation Graph (0, 0)][DBLP]
    ICPR (3), 2002, pp:789-0 [Conf]
  36. James F. Bowring, James M. Rehg, Mary Jean Harrold
    Active learning for automatic classification of software behavior. [Citation Graph (0, 0)][DBLP]
    ISSTA, 2004, pp:195-205 [Conf]
  37. Ulrich Kremer, Jamey Hicks, James M. Rehg
    A Compilation Framework for Power and Energy Management on Mobile Computers. [Citation Graph (0, 0)][DBLP]
    LCPC, 2001, pp:115-131 [Conf]
  38. Rishiyur S. Nikhil, Umakishore Ramachandran, James M. Rehg, Robert H. Halstead Jr., Christopher F. Joerg, Leonidas I. Kontothanassis
    Stampede: A Programming System for Emerging Scalable Interactive Multimedia Applications. [Citation Graph (0, 0)][DBLP]
    LCPC, 1998, pp:83-99 [Conf]
  39. James M. Rehg, Kathleen Knobe, Umakishore Ramachandran, Rishiyur S. Nikhil, Arun Chauhan
    Integrated Task and Data Parallel Support for Dynamic Applications. [Citation Graph (0, 0)][DBLP]
    LCR, 1998, pp:167-180 [Conf]
  40. Vladimir Pavlovic, James M. Rehg, John MacCormick
    Learning Switching Linear Models of Human Motion. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:981-987 [Conf]
  41. Jianxin Wu, James M. Rehg, Matthew D. Mullin
    Learning a Rare Event Detection Cascade by Direct Feature Selection. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  42. Xuehai Bian, Gregory D. Abowd, James M. Rehg
    Using Sound Source Localization in a Home Environment. [Citation Graph (0, 0)][DBLP]
    Pervasive, 2005, pp:19-36 [Conf]
  43. Umakishore Ramachandran, Rishiyur S. Nikhil, Nissim Harel, James M. Rehg, Kathleen Knobe
    Space-Time Memory: A Parallel Programming Abstraction for Interactive Multimedia Applications. [Citation Graph (0, 0)][DBLP]
    PPOPP, 1999, pp:183-192 [Conf]
  44. Matthew Flagg, James M. Rehg
    Projector-guided painting. [Citation Graph (0, 0)][DBLP]
    UIST, 2006, pp:235-244 [Conf]
  45. S. Charles Brubaker, Jianxin Wu, Jie Sun, Matthew D. Mullin, James M. Rehg
    Towards the Optimal Training of Cascades of Boosted Ensembles. [Citation Graph (0, 0)][DBLP]
    Toward Category-Level Object Recognition, 2006, pp:301-320 [Conf]
  46. Michael J. Jones, James M. Rehg
    Statistical Color Models with Application to Skin Detection. [Citation Graph (0, 0)][DBLP]
    International Journal of Computer Vision, 2002, v:46, n:1, pp:81-96 [Journal]
  47. James M. Rehg, Daniel D. Morris, Takeo Kanade
    Ambiguities in Visual Tracking of Articulated Objects Using Two- and Three-Dimensional Models. [Citation Graph (0, 0)][DBLP]
    I. J. Robotic Res., 2003, v:22, n:6, pp:393-418 [Journal]
  48. Yavor Angelov, Umakishore Ramachandran, Kenneth M. Mackenzie, James M. Rehg, Irfan A. Essa
    Experiences with optimizing two stream-based applications for cluster execution. [Citation Graph (0, 0)][DBLP]
    J. Parallel Distrib. Comput., 2005, v:65, n:6, pp:678-691 [Journal]
  49. James M. Rehg, Vladimir Pavlovic, Thomas S. Huang, William T. Freeman
    Guest Editors' Introduction to the Special Section on Graphical Models in Computer Vision. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2003, v:25, n:7, pp:785-786 [Journal]
  50. James M. Rehg, Kathleen Knobe, Umakishore Ramachandran, Rishiyur S. Nikhil, Arun Chauhan
    Integrated task and data parallel support for dynamic applications. [Citation Graph (0, 0)][DBLP]
    Scientific Programming, 1999, v:7, n:3-4, pp:289-302 [Journal]
  51. Liu Ren, Alton Patrick, Alexei A. Efros, Jessica K. Hodgins, James M. Rehg
    A data-driven approach to quantifying natural human motion. [Citation Graph (0, 0)][DBLP]
    ACM Trans. Graph., 2005, v:24, n:3, pp:1090-1097 [Journal]
  52. Umakishore Ramachandran, Rishiyur S. Nikhil, James M. Rehg, Yavor Angelov, Arnab Paul, Sameer Adhikari, Kenneth M. Mackenzie, Nissim Harel, Kathleen Knobe
    Stampede: A Cluster Programming Middleware for Interactive Stream-Oriented Applications. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Parallel Distrib. Syst., 2003, v:14, n:11, pp:1140-1154 [Journal]
  53. Howard Zhou, Jie Sun, Greg Turk, James M. Rehg
    Terrain Synthesis from Digital Elevation Models. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Vis. Comput. Graph., 2007, v:13, n:4, pp:834-848 [Journal]
  54. Jay Summet, Matthew Flagg, Tat-Jen Cham, James M. Rehg, Rahul Sukthankar
    Shadow Elimination and Blinding Light Suppression for Interactive Projected Displays. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Vis. Comput. Graph., 2007, v:13, n:3, pp:508-517 [Journal]
  55. Jay Summet, Matthew Flagg, James M. Rehg, Gregory D. Abowd, Neil Weston
    GVU-PROCAMS: enabling novel projected interfaces. [Citation Graph (0, 0)][DBLP]
    ACM Multimedia, 2006, pp:141-144 [Conf]

  56. Where am I: Place instance and category recognition using spatial PACT. [Citation Graph (, )][DBLP]


  57. A Scalable Approach to Activity Recognition based on Object Use. [Citation Graph (, )][DBLP]


  58. Detection of Unnatural Movement Using Epitomic Analysis. [Citation Graph (, )][DBLP]


  59. Traversability Classification using Unsupervised on-line Visual Learning for Outdoor Robot Navigation. [Citation Graph (, )][DBLP]


  60. Spatially constrained segmentation of dermoscopy images. [Citation Graph (, )][DBLP]


  61. Dermoscopic Interest Point Detector and Descriptor. [Citation Graph (, )][DBLP]


  62. Automated Macular Pathology Diagnosis in Retinal OCT Images Using Multi-Scale Spatial Pyramid with Local Binary Patterns. [Citation Graph (, )][DBLP]


  63. Human video textures. [Citation Graph (, )][DBLP]


  64. Traversability classification for UGV navigation: a comparison of patch and superpixel representations. [Citation Graph (, )][DBLP]


  65. Visual Place Categorization: Problem, dataset, and algorithm. [Citation Graph (, )][DBLP]


  66. Projected light displays using visual feedback. [Citation Graph (, )][DBLP]


  67. Discriminative feature selection for hidden Markov models using Segmental Boosting. [Citation Graph (, )][DBLP]


  68. Learning the basic units in American Sign Language using discriminative segmental feature selection. [Citation Graph (, )][DBLP]


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