| Finding faces in cluttered scenes using random labeled graph matching TK Leung, MC Burl, P Perona Proceedings of IEEE International Conference on Computer Vision, 637-644, 1995 | 626 | 1995 |
| Optimal speckle reduction in polarimetric SAR imagery LM Novak, MC Burl Twenty-Second Asilomar Conference on Signals, Systems and Computers 2, 781-793, 1988 | 592 | 1988 |
| Optimal polarimetric processing for enhanced target detection LM Novak, MC Burl, WW Irving IEEE Transactions on Aerospace and Electronic Systems 29 (1), 234-244, 1993 | 498 | 1993 |
| A probabilistic approach to object recognition using local photometry and global geometry MC Burl, M Weber, P Perona Computer Vision—ECCV’98: 5th European Conference on Computer Vision …, 1998 | 426 | 1998 |
| Inferring ground truth from subjective labelling of venus images P Smyth, U Fayyad, M Burl, P Perona, P Baldi Advances in neural information processing systems 7, 1994 | 412 | 1994 |
| Entropy-based active learning for object recognition A Holub, P Perona, MC Burl 2008 IEEE Computer Society Conference on Computer Vision and Pattern …, 2008 | 354 | 2008 |
| Systems and methods for the automated sensing of motion in a mobile robot using visual data MC Burl, P Pirjanian US Patent 7,162,056, 2007 | 252 | 2007 |
| Face localization via shape statistics MC Burl, TK Leung, P Perona Int. Workshop on Automatic Face and Gesture Recognition 114, 115-116, 1995 | 230 | 1995 |
| Recognition of planar object classes MC Burl, P Perona Proceedings CVPR IEEE Computer Society Conference on Computer Vision and …, 1996 | 176 | 1996 |
| Aegis automated science targeting for the mer opportunity rover TA Estlin, BJ Bornstein, DM Gaines, RC Anderson, DR Thompson, M Burl, ... ACM Transactions on Intelligent Systems and Technology (TIST) 3 (3), 1-19, 2012 | 152 | 2012 |
| On the performance of polarimetric target detection algorithms RD Chaney, MC Bud, LM Novak IEEE Aerospace and Electronic Systems Magazine 5 (11), 10-15, 1990 | 145 | 1990 |
| Learning to recognize volcanoes on Venus MC Burl, L Asker, P Smyth, U Fayyad, P Perona, L Crumpler, J Aubele Machine Learning 30, 165-194, 1998 | 142 | 1998 |
| Video image motion compensation using an algorithm involving at least two fields M Burl, R Thomson, P Layton US Patent 6,011,596, 2000 | 121 | 2000 |
| AEGIS autonomous targeting for ChemCam on Mars Science Laboratory: Deployment and results of initial science team use R Francis, T Estlin, G Doran, S Johnstone, D Gaines, V Verma, M Burl, ... Science Robotics 2 (7), eaan4582, 2017 | 116 | 2017 |
| Automating the hunt for volcanoes on Venus Burl, Fayyad, Perona, Smyth, Burl 1994 Proceedings of IEEE Conference on Computer Vision and Pattern …, 1994 | 105 | 1994 |
| Learning to detect small impact craters PG Wetzler, R Honda, B Enke, WJ Merline, CR Chapman, MC Burl 2005 Seventh IEEE Workshops on Applications of Computer Vision (WACV/MOTION …, 2005 | 104 | 2005 |
| Optimal processing of polarimetric synthetic-aperture radar imagery LM Novak, MC Burl, RD Chaney, GJ Owirka The Lincoln Laboratory Journal, 3, 273-290, 1990 | 96 | 1990 |
| Assessing the ability to predict human percepts of odor quality from the detector responses of a conducting polymer composite-based electronic nose MC Burl, BJ Doleman, A Schaffer, NS Lewis Sensors and Actuators B: Chemical 72 (2), 149-159, 2001 | 87 | 2001 |
| Automated detection of craters and other geological features MC Burl Proc. 6th Int. Symp. on Artificial Intelligence, Robotics and Automation in …, 2001 | 83 | 2001 |
| Texture discrimination in synthetic aperture radar imagery MC Burl, GJ Owirka, LM Novak Twenty-Third Asilomar Conference on Signals, Systems and Computers, 1989. 1 …, 1989 | 82 | 1989 |
