2008 |
67 | EE | Jianxin Wu,
James M. Rehg:
Where am I: Place instance and category recognition using spatial PACT.
CVPR 2008 |
66 | EE | Howard Zhou,
Mei Chen,
Le Zou,
Richard Gass,
Laura Ferris,
Laura Drogowski,
James M. Rehg:
Spatially constrained segmentation of dermoscopy images.
ISBI 2008: 800-803 |
65 | EE | Jianxin Wu,
S. Charles Brubaker,
Matthew D. Mullin,
James M. Rehg:
Fast Asymmetric Learning for Cascade Face Detection.
IEEE Trans. Pattern Anal. Mach. Intell. 30(3): 369-382 (2008) |
64 | EE | Sang Min Oh,
James M. Rehg,
Tucker R. Balch,
Frank Dellaert:
Learning and Inferring Motion Patterns using Parametric Segmental Switching Linear Dynamic Systems.
International Journal of Computer Vision 77(1-3): 103-124 (2008) |
63 | EE | S. Charles Brubaker,
Jianxin Wu,
Jie Sun,
Matthew D. Mullin,
James M. Rehg:
On the Design of Cascades of Boosted Ensembles for Face Detection.
International Journal of Computer Vision 77(1-3): 65-86 (2008) |
62 | EE | Yushi Jing,
Vladimir Pavlovic,
James M. Rehg:
Boosted Bayesian network classifiers.
Machine Learning 73(2): 155-184 (2008) |
2007 |
61 | EE | Jianxin Wu,
Adebola Osuntogun,
Tanzeem Choudhury,
Matthai Philipose,
James M. Rehg:
A Scalable Approach to Activity Recognition based on Object Use.
ICCV 2007: 1-8 |
60 | EE | Dongshin Kim,
Sang Min Oh,
James M. Rehg:
Traversability classification for UGV navigation: a comparison of patch and superpixel representations.
IROS 2007: 3166-3173 |
59 | EE | Jay Summet,
Matthew Flagg,
Tat-Jen Cham,
James M. Rehg,
Rahul Sukthankar:
Shadow Elimination and Blinding Light Suppression for Interactive Projected Displays.
IEEE Trans. Vis. Comput. Graph. 13(3): 508-517 (2007) |
58 | EE | Howard Zhou,
Jie Sun,
Greg Turk,
James M. Rehg:
Terrain Synthesis from Digital Elevation Models.
IEEE Trans. Vis. Comput. Graph. 13(4): 834-848 (2007) |
2006 |
57 | EE | Jay Summet,
Matthew Flagg,
James M. Rehg,
Gregory D. Abowd,
Neil Weston:
GVU-PROCAMS: enabling novel projected interfaces.
ACM Multimedia 2006: 141-144 |
56 | EE | Ping Wang,
James M. Rehg:
A Modular Approach to the Analysis and Evaluation of Particle Filters for Figure Tracking.
CVPR (1) 2006: 790-797 |
55 | EE | Sang Min Oh,
James M. Rehg,
Frank Dellaert:
Parameterized Duration Mmodeling for Switching Linear Dynamic Systems.
CVPR (2) 2006: 1694-1700 |
54 | EE | S. Charles Brubaker,
Matthew D. Mullin,
James M. Rehg:
Towards Optimal Training of Cascaded Detectors.
ECCV (1) 2006: 325-337 |
53 | | Dongshin Kim,
Jie Sun,
Sang Min Oh,
James M. Rehg,
Aaron F. Bobick:
Traversability Classification using Unsupervised on-line Visual Learning for Outdoor Robot Navigation.
ICRA 2006: 518-525 |
52 | EE | S. Charles Brubaker,
Jianxin Wu,
Jie Sun,
Matthew D. Mullin,
James M. Rehg:
Towards the Optimal Training of Cascades of Boosted Ensembles.
Toward Category-Level Object Recognition 2006: 301-320 |
51 | EE | Matthew Flagg,
James M. Rehg:
Projector-guided painting.
UIST 2006: 235-244 |
50 | EE | J. Sun,
Tejas R. Mehta,
David Wooden,
Matthew Powers,
James M. Rehg,
Tucker R. Balch,
Magnus Egerstedt:
Learning from examples in unstructured, outdoor environments.
J. Field Robotics 23(11-12): 1019-1036 (2006) |
2005 |
49 | | Sang Min Oh,
James M. Rehg,
Tucker R. Balch,
Frank Dellaert:
Data-Driven MCMC for Learning and Inference in Switching Linear Dynamic Systems.
AAAI 2005: 944-949 |
48 | EE | Jay Summet,
Gregory D. Abowd,
Gregory M. Corso,
James M. Rehg:
Virtual rear projection: do shadows matter?
CHI Extended Abstracts 2005: 1997-2000 |
47 | EE | Sang Min Oh,
James M. Rehg,
Tucker R. Balch,
Frank Dellaert:
Learning and Inference in Parametric Switching Linear Dynamical Systems.
ICCV 2005: 1161-1168 |
46 | EE | Yushi Jing,
Vladimir Pavlovic,
James M. Rehg:
Efficient discriminative learning of Bayesian network classifier via boosted augmented naive Bayes.
ICML 2005: 369-376 |
45 | EE | Jianxin Wu,
Matthew D. Mullin,
James M. Rehg:
Linear Asymmetric Classifier for cascade detectors.
ICML 2005: 988-995 |
44 | EE | Xuehai Bian,
Gregory D. Abowd,
James M. Rehg:
Using Sound Source Localization in a Home Environment.
Pervasive 2005: 19-36 |
43 | EE | Liu Ren,
Alton Patrick,
Alexei A. Efros,
Jessica K. Hodgins,
James M. Rehg:
A data-driven approach to quantifying natural human motion.
ACM Trans. Graph. 24(3): 1090-1097 (2005) |
42 | EE | Yavor Angelov,
Umakishore Ramachandran,
Kenneth M. Mackenzie,
James M. Rehg,
Irfan A. Essa:
Experiences with optimizing two stream-based applications for cluster execution.
J. Parallel Distrib. Comput. 65(6): 678-691 (2005) |
2004 |
41 | EE | Mark Ashdown,
Matthew Flagg,
Rahul Sukthankar,
James M. Rehg:
A Flexible Projector-Camera System for Multi-Planar Displays.
CVPR (2) 2004: 165-172 |
40 | EE | Jie Sun,
James M. Rehg,
Aaron F. Bobick:
Automatic Cascade Training with Perturbation Bias.
CVPR (2) 2004: 276-283 |
39 | EE | Pei Yin,
Irfan A. Essa,
James M. Rehg:
Asymmetrically Boosted HMM for Speech Reading.
CVPR (2) 2004: 755-761 |
38 | EE | Xiang Song,
Namgeun Jeong,
Phillip W. Hutto,
Umakishore Ramachandran,
James M. Rehg:
State Management in Web Services.
FTDCS 2004: 21-27 |
37 | EE | James F. Bowring,
James M. Rehg,
Mary Jean Harrold:
Active learning for automatic classification of software behavior.
ISSTA 2004: 195-205 |
2003 |
36 | EE | Pei Yin,
Irfan A. Essa,
James M. Rehg:
Boosted Audio-Visual HMM for Speech Reading.
AMFG 2003: 68-73 |
35 | EE | Tat-Jen Cham,
James M. Rehg,
Rahul Sukthankar,
Gita Sukthankar:
Shadow Elimination and Occluder Light Suppression for Multi-Projector Displays.
CVPR (2) 2003: 513-520 |
34 | EE | Jianxin Wu,
James M. Rehg,
Matthew D. Mullin:
Learning a Rare Event Detection Cascade by Direct Feature Selection.
NIPS 2003 |
33 | | James M. Rehg,
Daniel D. Morris,
Takeo Kanade:
Ambiguities in Visual Tracking of Articulated Objects Using Two- and Three-Dimensional Models.
I. J. Robotic Res. 22(6): 393-418 (2003) |
32 | EE | 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.
IEEE Trans. Parallel Distrib. Syst. 14(11): 1140-1154 (2003) |
31 | EE | James M. Rehg,
Vladimir Pavlovic,
Thomas S. Huang,
William T. Freeman:
Guest Editors' Introduction to the Special Section on Graphical Models in Computer Vision.
IEEE Trans. Pattern Anal. Mach. Intell. 25(7): 785-786 (2003) |
2002 |
30 | EE | James M. Rehg,
Matthew Flagg,
Tat-Jen Cham,
Rahul Sukthankar,
Gita Sukthankar:
Projected light displays using visual feedback.
ICARCV 2002: 926-932 |
29 | EE | Tanzeem Choudhury,
James M. Rehg,
Vladimir Pavlovic,
Alex Pentland:
Boosting and Structure Learning in Dynamic Bayesian Networks for Audio-Visual Speaker Detection.
ICPR (3) 2002: 789- |
28 | | Michael J. Jones,
James M. Rehg:
Statistical Color Models with Application to Skin Detection.
International Journal of Computer Vision 46(1): 81-96 (2002) |
2001 |
27 | EE | David E. DiFranco,
Tat-Jen Cham,
James M. Rehg:
Reconstruction of 3-D Figure Motion from 2-D Correspondences.
CVPR (1) 2001: 307-314 |
26 | | Rahul Sukthankar,
Tat-Jen Cham,
Gita Sukthankar,
James M. Rehg,
David Hsu,
Thomas Leung:
Self-Calibrating Camera Projector Systems for Interactive Displays and Presentations.
ICCV 2001: 748 |
25 | EE | Ulrich Kremer,
Jamey Hicks,
James M. Rehg:
A Compilation Framework for Power and Energy Management on Mobile Computers.
LCPC 2001: 115-131 |
2000 |
24 | EE | Vladimir Pavlovic,
James M. Rehg:
Impact of Dynamic Model Learning on Classification of Human Motion.
CVPR 2000: 1788-1795 |
23 | EE | Vladimir Pavlovic,
James M. Rehg,
Ashutosh Garg,
Thomas S. Huang:
Multimodal Speaker Detection Using Error Feedback Dynamic Bayesian Networks.
CVPR 2000: 2034- |
22 | EE | Ashutosh Garg,
Vladimir Pavlovic,
James M. Rehg:
Audio-Visual Speaker Detection Using Dynamic Bayesian Networks.
FG 2000: 384-390 |
21 | EE | Vladimir Pavlovic,
James M. Rehg,
Tat-Jen Cham:
A Dynamic Bayesian Network Approach to Tracking Using Learned Switching Dynamic Models.
HSCC 2000: 366-380 |
20 | | James M. Rehg,
Sing Bing Kang,
Tat-Jen Cham:
Video Editing Using Figure Tracking and Image-Based Rendering.
ICIP 2000 |
19 | EE | Vladimir Pavlovic,
Ashutosh Garg,
James M. Rehg:
Multimodal Speaker Detection Using Input/Output Dynamic Bayesian Networks.
ICMI 2000: 308-316 |
18 | | Vladimir Pavlovic,
James M. Rehg,
John MacCormick:
Learning Switching Linear Models of Human Motion.
NIPS 2000: 981-987 |
1999 |
17 | EE | Michael J. Jones,
James M. Rehg:
Statistical Color Models with Application to Skin Detection.
CVPR 1999: 1274-1280 |
16 | EE | James M. Rehg,
Kevin P. Murphy,
Paul W. Fieguth:
Vision-Based Speaker Detection Using Bayesian Networks.
CVPR 1999: 2110-2116 |
15 | EE | Tat-Jen Cham,
James M. Rehg:
A Multiple Hypothesis Approach to Figure Tracking.
CVPR 1999: 2239-2245 |
14 | EE | Tat-Jen Cham,
James M. Rehg:
Dynamic Feature Ordering for Efficient Registration.
ICCV 1999: 1084-1091 |
13 | EE | Vladimir Pavlovic,
James M. Rehg,
Tat-Jen Cham,
Kevin P. Murphy:
A Dynamic Bayesian Network Approach to Figure Tracking using Learned Dynamic Models.
ICCV 1999: 94-101 |
12 | EE | Umakishore Ramachandran,
Rishiyur S. Nikhil,
Nissim Harel,
James M. Rehg,
Kathleen Knobe:
Space-Time Memory: A Parallel Programming Abstraction for Interactive Multimedia Applications.
PPOPP 1999: 183-192 |
11 | | James M. Rehg,
Kathleen Knobe,
Umakishore Ramachandran,
Rishiyur S. Nikhil,
Arun Chauhan:
Integrated task and data parallel support for dynamic applications.
Scientific Programming 7(3-4): 289-302 (1999) |
1998 |
10 | EE | Daniel D. Morris,
James M. Rehg:
Singularity Analysis for Articulated Object Tracking.
CVPR 1998: 289-297 |
9 | EE | 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.
LCPC 1998: 83-99 |
8 | EE | James M. Rehg,
Kathleen Knobe,
Umakishore Ramachandran,
Rishiyur S. Nikhil,
Arun Chauhan:
Integrated Task and Data Parallel Support for Dynamic Applications.
LCR 1998: 167-180 |
1997 |
7 | EE | James M. Rehg,
Maria Loughlin,
Keith Waters:
Vision for a smart kiosk.
CVPR 1997: 690- |
6 | EE | Henry A. Rowley,
James M. Rehg:
Analyzing Articulated Motion Using Expectation-Maximization.
CVPR 1997: 935- |
1995 |
5 | EE | James M. Rehg,
Takeo Kanade:
Model-Based Tracking of Self-Occluding Articulated Objects.
ICCV 1995: 612-617 |
1994 |
4 | | James M. Rehg,
Takeo Kanade:
Visual Tracking of High DOF Articulated Structures: an Application to Human Hand Tracking.
ECCV (2) 1994: 35-46 |
1993 |
3 | EE | Ingemar J. Cox,
James M. Rehg,
Sunita L. Hingorani:
A Bayesian multiple-hypothesis approach to edge grouping and contour segmentation.
International Journal of Computer Vision 11(1): 5-24 (1993) |
1992 |
2 | | Ingemar J. Cox,
James M. Rehg,
Sunita L. Hingorani:
A Bayesian Multiple Hypothesis Approach to Contour Grouping.
ECCV 1992: 72-77 |
1988 |
1 | | Sarosh Talukdar,
James M. Rehg,
Rob Woodbury,
Alberto Elfes:
Upgrading Design Systems.
AAAI 1988: 336-341 |