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Gary R. Bradski

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affiliation: Stanford University, USA

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2010 – today

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2014
[c30]
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Rahul Sawhney, Henrik I. Christensen, Gary R. Bradski:
Anisotropic Agglomerative Adaptive Mean-Shift. BMVC 2014
[i1]
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Rahul Sawhney, Henrik I. Christensen, Gary R. Bradski:
Anisotropic Agglomerative Adaptive Mean-Shift. CoRR abs/1411.4102 (2014)
2013
[j9]
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Min Sun, Shyam Sunder Kumar, Gary R. Bradski, Silvio Savarese:
Object detection, shape recovery, and 3D modelling by depth-encoded hough voting. Computer Vision and Image Understanding 117(9): 1190-1202 (2013)
2012
[c29]
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Stefan Hinterstoisser, Vincent Lepetit, Slobodan Ilic, Stefan Holzer, Gary R. Bradski, Kurt Konolige, Nassir Navab:
Model Based Training, Detection and Pose Estimation of Texture-Less 3D Objects in Heavily Cluttered Scenes. ACCV (1) 2012: 548-562
[c28]
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Bangpeng Yao, Gary R. Bradski, Fei-Fei Li:
A codebook-free and annotation-free approach for fine-grained image categorization. CVPR 2012: 3466-3473
[c27]
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Stefan Hinterstoisser, Vincent Lepetit, Slobodan Ilic, Stefan Holzer, Kurt Konolige, Gary R. Bradski, Nassir Navab:
Technical Demonstration on Model Based Training, Detection and Pose Estimation of Texture-Less 3D Objects in Heavily Cluttered Scenes. ECCV Workshops (3) 2012: 593-596
[c26]
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Ilya Lysenkov, Victor Eruhimov, Gary R. Bradski:
Recognition and Pose Estimation of Rigid Transparent Objects with a Kinect Sensor. Robotics: Science and Systems 2012
2011
[j8]
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Radu Bogdan Rusu, Gary R. Bradski, Kurt Konolige, Michael Beetz, Henrik I. Christensen:
Editorial. I. J. Robotics Res. 30(10): 1207-1208 (2011)
[c25]
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Min Sun, Shyam Sunder Kumar, Gary R. Bradski, Silvio Savarese:
Toward Automatic 3D Generic Object Modeling from One Single Image. 3DIMPVT 2011: 9-16
[c24]
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Ethan Rublee, Vincent Rabaud, Kurt Konolige, Gary R. Bradski:
ORB: An efficient alternative to SIFT or SURF. ICCV 2011: 2564-2571
[c23]
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Aitor Aldoma, Markus Vincze, Nico Blodow, David Gossow, Suat Gedikli, Radu Bogdan Rusu, Gary R. Bradski:
CAD-model recognition and 6DOF pose estimation using 3D cues. ICCV Workshops 2011: 585-592
[c22]
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Marius Muja, Radu Bogdan Rusu, Gary R. Bradski, David G. Lowe:
REIN - A fast, robust, scalable REcognition INfrastructure. ICRA 2011: 2939-2946
[c21]
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Jared Glover, Radu Bogdan Rusu, Gary R. Bradski:
Monte Carlo Pose Estimation with Quaternion Kernels and the Bingham Distribution. Robotics: Science and Systems 2011
2010
[c20]
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Min Sun, Gary R. Bradski, Bing-Xin Xu, Silvio Savarese:
Depth-Encoded Hough Voting for Joint Object Detection and Shape Recovery. ECCV (5) 2010: 658-671
[c19]
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  - conf/icra/MeeussenWGCMMMMEFHRMBKGB10
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Wim Meeussen, Melonee Wise, Stuart Glaser, Sachin Chitta, Conor McGann, Patrick Mihelich, Eitan Marder-Eppstein, Marius Constantin Muja, Victor Eruhimov, Tully Foote, John M. Hsu, Radu Bogdan Rusu, Bhaskara Marthi, Gary R. Bradski, Kurt Konolige, Brian P. Gerkey, Eric Berger:
Autonomous door opening and plugging in with a personal robot. ICRA 2010: 729-736
[c18]
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  - conf/iros/RusuBTH10
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Radu Bogdan Rusu, Gary R. Bradski, Romain Thibaux, John M. Hsu:
Fast 3D recognition and pose using the Viewpoint Feature Histogram. IROS 2010: 2155-2162

2000 – 2009

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2009
[c17]
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Radu Bogdan Rusu, Andreas Holzbach, Rosen Diankov, Gary R. Bradski, Michael Beetz:
Perception for mobile manipulation and grasping using active stereo. Humanoids 2009: 632-638
[c16]
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  - conf/nips/FritzBBKD09
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Mario Fritz, Michael J. Black, Gary R. Bradski, Sergey Karayev, Trevor Darrell:
An Additive Latent Feature Model for Transparent Object Recognition. NIPS 2009: 558-566
2008
[b1]
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  - books/daglib/0021695
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Gary R. Bradski, Adrian Kaehler:
Learning OpenCV - computer vision with the OpenCV library: software that sees. O'Reilly 2008, ISBN 978-0-596-51613-0, pp. I-XVII, 1-555
2007
[c15]
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Colby Ranger, Ramanan Raghuraman, Arun Penmetsa, Gary R. Bradski, Christos Kozyrakis:
Evaluating MapReduce for Multi-core and Multiprocessor Systems. HPCA 2007: 13-24
[c14]
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Stephen Gould, Joakim Arfvidsson, Adrian Kaehler, Benjamin Sapp, Marius Messner, Gary R. Bradski, Paul Baumstarck, Sukwon Chung, Andrew Y. Ng:
Peripheral-Foveal Vision for Real-time Object Recognition and Tracking in Video. IJCAI 2007: 2115-2121
[c13]
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  - conf/siggraph/BarnesPCMBR07
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Mark Barnes, Jon Phillips, Erwin Coumans, Morgan McGuire, Gary R. Bradski, Ton Roosendaal:
Open source toolchains. Sandbox@SIGGRAPH 2007: 27-29
2006
[j7]
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Sebastian Thrun, Michael Montemerlo, Hendrik Dahlkamp, David Stavens, Andrei Aron, James Diebel, Philip Fong, John Gale, Morgan Halpenny, Gabriel Hoffmann, Kenny Lau, Celia M. Oakley, Mark Palatucci, Vaughan R. Pratt, Pascal Stang, Sven Strohband, Cedric Dupont, Lars-Erik Jendrossek, Christian Koelen, Charles Markey, Carlo Rummel, Joe van Niekerk, Eric Jensen, Philippe Alessandrini, Gary R. Bradski, Bob Davies, Scott Ettinger, Adrian Kaehler, Ara V. Nefian, Pamela Mahoney:
Stanley: The robot that won the DARPA Grand Challenge. J. Field Robotics 23(9): 661-692 (2006)
[c12]
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  - conf/icip/NefianB06
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Ara V. Nefian, Gary R. Bradski:
Detection of Drivable Corridors for Off-Road Autonomous Navigation. ICIP 2006: 3025-3028
[c11]
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Cheng-Tao Chu, Sang Kyun Kim, Yi-An Lin, YuanYuan Yu, Gary R. Bradski, Andrew Y. Ng, Kunle Olukotun:
Map-Reduce for Machine Learning on Multicore. NIPS 2006: 281-288
[c10]
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Hendrik Dahlkamp, Adrian Kaehler, David Stavens, Sebastian Thrun, Gary R. Bradski:
Self-supervised Monocular Road Detection in Desert Terrain. Robotics: Science and Systems 2006
2005
[c9]
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Brad Schumitsch, Sebastian Thrun, Gary R. Bradski, Kunle Olukotun:
The Information-Form Data Association Filter. NIPS 2005: 1193-1200
2004
[c8]
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  - conf/icpr/WangDZSLB04
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Tao Wang, Qian Diao, Yimin Zhang, Gang Song, Chunrong Lai, Gary R. Bradski:
A Dynamic Bayesian Network Approach to Multi-cue based Visual Tracking. ICPR (2) 2004: 167-170
2003
[j6]
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  - journals/uais/GraumanBLGB03
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Kristen Grauman, Margrit Betke, J. Lombardi, James Gips, Gary R. Bradski:
Communication via eye blinks and eyebrow raises: video-based human-computer interfaces. Universal Access in the Information Society 2(4): 359-373 (2003)
[c7]
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  - conf/sip/DiaoLHZB03
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Qian Diao, Jianye Lu, Wei Hu, Yimin Zhang, Gary R. Bradski:
DBN Models and a Prediction Method for Visual Tracking. SIP 2003: 189-194
2002
[j5]
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  - journals/ijcv/BradskiB02
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Gary R. Bradski, Terrance E. Boult:
Guest Editorial: Stereo and Multi-Baseline Vision. International Journal of Computer Vision 47(1-3): 5 (2002)
[j4]
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Gary R. Bradski, James W. Davis:
Motion segmentation and pose recognition with motion history gradients. Mach. Vis. Appl. 13(3): 174-184 (2002)
2001
[c6]
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Kristen Grauman, Margrit Betke, James Gips, Gary R. Bradski:
Communication via Eye Blinks - Detection and Duration Analysis in Real Time. CVPR (1) 2001: 1010-1017
2000
[c5]
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  - conf/cvpr/GrzeszczukBCB00
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Radek Grzeszczuk, Gary R. Bradski, Michael H. Chu, Jean-Yves Bouguet:
Stereo Based Gesture Recognition Invariant to 3D Pose and Lighting. CVPR 2000: 1826-1833
[c4]
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Gary R. Bradski, Vadim Pisarevsky:
Intel's Computer Vision Library: Applications in Calibration, Stereo, Segmentation, Tracking, Gesture, Face and Object Recognition. CVPR 2000: 2796-
[c3]
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Gary R. Bradski, James W. Davis:
Motion segmentation and pose recognition with motion history gradients. WACV 2000: 238-244

1990 – 1999

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1999
[c2]
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  - conf/spieSR/BradskiYY99
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Gary R. Bradski, Boon-Lock Yeo, Minerva M. Yeung:
Gesture for video content navigation. Storage and Retrieval for Image and Video Databases (SPIE) 1999: 230-242
1998
[c1]
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  - conf/wacv/Bradski98
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Gary R. Bradski:
Real time face and object tracking as a component of a perceptual user interface. WACV 1998: 214-219
1995
[j3]
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  - journals/nn/BradskiG95
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Gary R. Bradski, Stephen Grossberg:
Fast-learning VIEWNET architectures for recognizing three-dimensional objects from multiple two-dimensional views. Neural Networks 8(7-8): 1053-1080 (1995)
1994
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  - journals/bc/BradskiCG94
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Gary R. Bradski, Gail A. Carpenter, Stephen Grossberg:
STORE working memory networks for storage and recall of arbitrary temporal sequences. Biological Cybernetics 71(6): 469-480 (1994)
1992
[j1]
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  - journals/neco/BradskiCG92
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Gary R. Bradski, Gail A. Carpenter, Stephen Grossberg:
Working Memory Networks for Learning Temporal Order with Application to Three-Dimensional Visual Object Recognition. Neural Computation 4(2): 270-286 (1992)

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