| Segnet: A deep convolutional encoder-decoder architecture for image segmentation V Badrinarayanan, A Kendall, R Cipolla IEEE Transactions on Pattern Analysis and Machine Intelligence 39 (12), 2481 …, 2017 | 20788 | 2017 |
| Multi-task learning using uncertainty to weigh losses for scene geometry and semantics A Kendall, Y Gal, R Cipolla Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 3697 | 2018 |
| Posenet: A convolutional network for real-time 6-dof camera relocalization A Kendall, M Grimes, R Cipolla 2015 IEEE International Conference on Computer Vision, 2938-2946, 2015 | 2863 | 2015 |
| Semantic object classes in video: A high-definition ground truth database GJ Brostow, J Fauqueur, R Cipolla Pattern recognition letters 30 (2), 88-97, 2009 | 1723 | 2009 |
| Object recognition with gradient-based learning DA Forsyth, JL Mundy, V di Gesú, R Cipolla, Y LeCun, P Haffner, L Bottou, ... Shape, contour and grouping in computer vision, 319-345, 1999 | 1694 | 1999 |
| Semantic texton forests for image categorization and segmentation J Shotton, M Johnson, R Cipolla 2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008 | 1478 | 2008 |
| Bayesian segnet: Model uncertainty in deep convolutional encoder-decoder architectures for scene understanding A Kendall, V Badrinarayanan, R Cipolla British Machine Vision Conference (2017), 2015 | 1443 | 2015 |
| Segmentation and recognition using structure from motion point clouds GJ Brostow, J Shotton, J Fauqueur, R Cipolla Computer Vision–ECCV 2008: 10th European Conference on Computer Vision …, 2008 | 1295 | 2008 |
| Segnet: A deep convolutional encoder-decoder architecture for robust semantic pixel-wise labelling V Badrinarayanan, A Handa, R Cipolla arXiv preprint arXiv:1505.07293, 2015 | 1009 | 2015 |
| Real-time visual tracking of complex structures T Drummond, R Cipolla IEEE Transactions on pattern analysis and machine intelligence 24 (7), 932-946, 2002 | 928 | 2002 |
| Geometric loss functions for camera pose regression with deep learning A Kendall, R Cipolla Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 925 | 2017 |
| Multinet: Real-time joint semantic reasoning for autonomous driving M Teichmann, M Weber, M Zoellner, R Cipolla, R Urtasun 2018 IEEE intelligent vehicles symposium (IV), 1013-1020, 2018 | 888 | 2018 |
| Discriminative learning and recognition of image set classes using canonical correlations TK Kim, J Kittler, R Cipolla IEEE Transactions on Pattern Analysis and Machine Intelligence 29 (6), 1005-1018, 2007 | 759 | 2007 |
| Feature-based human face detection KC Yow, R Cipolla Image and vision computing 15 (9), 713-735, 1997 | 704 | 1997 |
| Modelling uncertainty in deep learning for camera relocalization A Kendall, R Cipolla 2016 IEEE international conference on Robotics and Automation (ICRA), 4762-4769, 2016 | 667 | 2016 |
| Fast-SCNN: Fast semantic segmentation network RPK Poudel, S Liwicki, R Cipolla British Machine Vision Conference, 2019 | 650 | 2019 |
| Model-based hand tracking using a hierarchical bayesian filter B Stenger, A Thayananthan, PHS Torr, R Cipolla IEEE transactions on pattern analysis and machine intelligence 28 (9), 1372-1384, 2006 | 608 | 2006 |
| Unsupervised bayesian detection of independent motion in crowds GJ Brostow, R Cipolla 2006 IEEE computer society conference on computer vision and pattern …, 2006 | 601 | 2006 |
| 3D human interface apparatus using motion recognition based on dynamic image processing R Cipolla, Y Okamoto, Y Kuno US Patent 5,581,276, 1996 | 561 | 1996 |
| Using multiple hypotheses to improve depth-maps for multi-view stereo NDF Campbell, G Vogiatzis, C Hernández, R Cipolla Computer Vision–ECCV 2008: 10th European Conference on Computer Vision …, 2008 | 491 | 2008 |
Vijay BadrinarayananVP of AI, Wayve, Mountain View, CAwayve.ai의 이메일 확인됨
