Building rome on a cloudless day JM Frahm, P Fite-Georgel, D Gallup, T Johnson, R Raguram, C Wu, ... Computer Vision–ECCV 2010: 11th European Conference on Computer Vision …, 2010 | 758 | 2010 |
Comparative evaluation of binary features J Heinly, E Dunn, JM Frahm Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012 | 478 | 2012 |
Reconstructing the world* in six days*(as captured by the yahoo 100 million image dataset) J Heinly, JL Schonberger, E Dunn, JM Frahm Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 350 | 2015 |
Learned Contextual Feature Reweighting for Image Geo-Localization. HJ Kim, E Dunn, JM Frahm CVPR 1 (2), 3, 2017 | 221 | 2017 |
Patchmatch based joint view selection and depthmap estimation E Zheng, E Dunn, V Jojic, JM Frahm Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 201 | 2014 |
Next Best View Planning for Active Model Improvement. E Dunn, JM Frahm BMVC, 1-11, 2009 | 97 | 2009 |
Predicting good features for image geo-localization using per-bundle vlad HJ Kim, E Dunn, JM Frahm Proceedings of the IEEE International Conference on Computer Vision, 1170-1178, 2015 | 67 | 2015 |
Developing visual sensing strategies through next best view planning E Dunn, J Van Den Berg, JM Frahm 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2009 | 59 | 2009 |
Parisian camera placement for vision metrology E Dunn, G Olague, E Lutton Pattern Recognition Letters 27 (11), 1209-1219, 2006 | 50 | 2006 |
Voldor: Visual odometry from log-logistic dense optical flow residuals Z Min, Y Yang, E Dunn Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 49 | 2020 |
P-HRTF: Efficient personalized HRTF computation for high-fidelity spatial sound A Meshram, R Mehra, H Yang, E Dunn, JM Franm, D Manocha 2014 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), 53-61, 2014 | 45 | 2014 |
Correcting for duplicate scene structure in sparse 3D reconstruction J Heinly, E Dunn, JM Frahm Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 39 | 2014 |
Development of vision-aided navigation for a wearable outdoor augmented reality system A Menozzi, B Clipp, E Wenger, J Heinly, E Dunn, H Towles, JM Frahm, ... 2014 IEEE/ION Position, Location and Navigation Symposium-PLANS 2014, 460-472, 2014 | 38 | 2014 |
Pareto optimal camera placement for automated visual inspection E Dunn, G Olague 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2005 | 37 | 2005 |
Sparse dynamic 3d reconstruction from unsynchronized videos E Zheng, D Ji, E Dunn, JM Frahm Proceedings of the IEEE International Conference on Computer Vision, 4435-4443, 2015 | 33 | 2015 |
Development of a practical photogrammetric network design using evolutionary computing G Olague, E Dunn The Photogrammetric Record 22 (117), 22-38, 2007 | 31 | 2007 |
Minimal solvers for 3d geometry from satellite imagery E Zheng, K Wang, E Dunn, JM Frahm Proceedings of the IEEE International Conference on Computer Vision, 738-746, 2015 | 29 | 2015 |
Multi-objective sensor planning for efficient and accurate object reconstruction E Dunn, G Olague Workshops on Applications of Evolutionary Computation, 312-321, 2004 | 27 | 2004 |
Testing and evaluation of a wearable augmented reality system for natural outdoor environments D Roberts, A Menozzi, J Cook, T Sherrill, S Snarski, P Russler, B Clipp, ... Head-and Helmet-Mounted Displays XVIII: Design and Applications 8735, 71-86, 2013 | 26 | 2013 |
Combining semantic scene priors and haze removal for single image depth estimation K Wang, E Dunn, J Tighe, JM Frahm IEEE Winter Conference on Applications of Computer Vision, 800-807, 2014 | 23 | 2014 |