| Entropy rate superpixel segmentation MY Liu, O Tuzel, S Ramalingam, R Chellappa CVPR 2011, 2097-2104, 2011 | 1221 | 2011 |
| Casenet: Deep category-aware semantic edge detection Z Yu, C Feng, MY Liu, S Ramalingam Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 362 | 2017 |
| Camera models and fundamental concepts used in geometric computer vision P Sturm, S Ramalingam, JP Tardif, S Gasparini, J Barreto Foundations and TrendsŪ in Computer Graphics and Vision 6 (1–2), 1-183, 2011 | 320 | 2011 |
| Bounding and counting linear regions of deep neural networks T Serra, C Tjandraatmadja, S Ramalingam International conference on machine learning, 4558-4566, 2018 | 307 | 2018 |
| Point-plane SLAM for hand-held 3D sensors Y Taguchi, YD Jian, S Ramalingam, C Feng 2013 IEEE international conference on robotics and automation, 5182-5189, 2013 | 283 | 2013 |
| A theory of multi-layer flat refractive geometry A Agrawal, S Ramalingam, Y Taguchi, V Chari 2012 IEEE conference on computer vision and pattern recognition, 3346-3353, 2012 | 256 | 2012 |
| A generic concept for camera calibration P Sturm, S Ramalingam Computer Vision-ECCV 2004: 8th European Conference on Computer Vision …, 2004 | 246 | 2004 |
| Randomized trees for human pose detection G Rogez, J Rihan, S Ramalingam, C Orrite, PHS Torr 2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008 | 237 | 2008 |
| 3dregnet: A deep neural network for 3d point registration GD Pais, S Ramalingam, VM Govindu, JC Nascimento, R Chellappa, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 236 | 2020 |
| Voting-based pose estimation for robotic assembly using a 3D sensor C Choi, Y Taguchi, O Tuzel, MY Liu, S Ramalingam 2012 IEEE International Conference on Robotics and Automation, 1724-1731, 2012 | 213 | 2012 |
| Digital refocusing for wide-angle images using axial-cone cameras Y Taguchi, AK Agrawal, AN Veeraraghavan, S Ramalingam, R Raskar US Patent 8,493,432, 2013 | 165 | 2013 |
| Entropy-rate clustering: Cluster analysis via maximizing a submodular function subject to a matroid constraint MY Liu, O Tuzel, S Ramalingam, R Chellappa IEEE Transactions on Pattern Analysis and Machine Intelligence 36 (1), 99-112, 2013 | 138 | 2013 |
| Exact inference in multi-label CRFs with higher order cliques S Ramalingam, P Kohli, K Alahari, PHS Torr 2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008 | 135 | 2008 |
| Method for calibrating cameras with non-overlapping views Y Taguchi, E Cansizoglu, S Ramalingam, Y Miki US Patent 11,051,000, 2021 | 131 | 2021 |
| Towards complete generic camera calibration S Ramalingam, P Sturm, SK Lodha 2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005 | 120 | 2005 |
| Method for estimating free space using a camera system S Ramalingam, J Yao, Y Taguchi US Patent 9,305,219, 2016 | 111 | 2016 |
| Simultaneous edge alignment and learning Z Yu, W Liu, Y Zou, C Feng, S Ramalingam, BVK Kumar, J Kautz Proceedings of the European conference on computer vision (ECCV), 388-404, 2018 | 102 | 2018 |
| A unifying model for camera calibration S Ramalingam, P Sturm IEEE transactions on pattern analysis and machine intelligence 39 (7), 1309-1319, 2016 | 98 | 2016 |
| Skyline2gps: Localization in urban canyons using omni-skylines S Ramalingam, S Bouaziz, P Sturm, M Brand 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2010 | 97 | 2010 |
| A generic structure-from-motion framework S Ramalingam, SK Lodha, P Sturm Computer Vision and Image Understanding 103 (3), 218-228, 2006 | 93 | 2006 |
Yuichi TaguchiMetaVerified email at fb.com
