Gary R. Bradski

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

Bangpeng Yao, Gary R. Bradski, Fei-Fei Li: A codebook-free and annotation-free approach for fine-grained image categorization. CVPR 2012: 3466-3473

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

Ilya Lysenkov, Victor Eruhimov, Gary R. Bradski: Recognition and Pose Estimation of Rigid Transparent Objects with a Kinect Sensor. Robotics: Science and Systems 2012

Radu Bogdan Rusu, Gary R. Bradski, Kurt Konolige, Michael Beetz, Henrik Christensen: Editorial. I. J. Robotic Res. 30(10): 1207-1208 (2011)

Min Sun, Shyam Sunder Kumar, Gary R. Bradski, Silvio Savarese: Toward Automatic 3D Generic Object Modeling from One Single Image. 3DIMPVT 2011: 9-16

Ethan Rublee, Vincent Rabaud, Kurt Konolige, Gary R. Bradski: ORB: An efficient alternative to SIFT or SURF. ICCV 2011: 2564-2571

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

Marius Muja, Radu Bogdan Rusu, Gary R. Bradski, David G. Lowe: REIN - A fast, robust, scalable REcognition INfrastructure. ICRA 2011: 2939-2946

Jared Glover, Radu Bogdan Rusu, Gary R. Bradski: Monte Carlo Pose Estimation with Quaternion Kernels and the Bingham Distribution. Robotics: Science and Systems 2011

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

Wim Meeussen, Melonee Wise, Stuart Glaser, Sachin Chitta, Conor McGann, Patrick Mihelich, Eitan Marder-Eppstein, Marius Constantin Muja, Victor Eruhimov, Tully Foote, John 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

Radu Bogdan Rusu, Gary R. Bradski, Romain Thibaux, John Hsu: Fast 3D recognition and pose using the Viewpoint Feature Histogram. IROS 2010: 2155-2162

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

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

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

Colby Ranger, Ramanan Raghuraman, Arun Penmetsa, Gary R. Bradski, Christos Kozyrakis: Evaluating MapReduce for Multi-core and Multiprocessor Systems. HPCA 2007: 13-24

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

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 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)

Ara V. Nefian, Gary R. Bradski: Detection of Drivable Corridors for Off-Road Autonomous Navigation. ICIP 2006: 3025-3028

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

Hendrik Dahlkamp, Adrian Kaehler, David Stavens, Sebastian Thrun, Gary R. Bradski: Self-supervised Monocular Road Detection in Desert Terrain. Robotics: Science and Systems 2006

Brad Schumitsch, Sebastian Thrun, Gary R. Bradski, Kunle Olukotun: The Information-Form Data Association Filter. NIPS 2005

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

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)

Qian Diao, Jianye Lu, Wei Hu, Yimin Zhang, Gary R. Bradski: DBN Models and a Prediction Method for Visual Tracking. SIP 2003: 189-194

Gary R. Bradski, Terrance E. Boult: Guest Editorial: Stereo and Multi-Baseline Vision. International Journal of Computer Vision 47(1-3): 5 (2002)

Gary R. Bradski, James W. Davis: Motion segmentation and pose recognition with motion history gradients. Mach. Vis. Appl. 13(3): 174-184 (2002)

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

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

Gary R. Bradski, Vadim Pisarevsky: Intel's Computer Vision Library: Applications in Calibration, Stereo, Segmentation, Tracking, Gesture, Face and Object Recognition. CVPR 2000: 2796-

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)

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)

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)