| The mapillary vistas dataset for semantic understanding of street scenes G Neuhold, T Ollmann, S Rota Bulo, P Kontschieder Proceedings of the IEEE international conference on computer vision, 4990-4999, 2017 | 1070 | 2017 |
| Deep neural decision forests P Kontschieder, M Fiterau, A Criminisi, SR Bulo Proceedings of the IEEE international conference on computer vision, 1467-1475, 2015 | 558 | 2015 |
| Disentangling monocular 3d object detection A Simonelli, SR Bulo, L Porzi, M López-Antequera, P Kontschieder Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 377 | 2019 |
| In-place activated batchnorm for memory-optimized training of dnns SR Bulo, L Porzi, P Kontschieder Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 318 | 2018 |
| Structured class-labels in random forests for semantic image labelling P Kontschieder, SR Bulo, H Bischof, M Pelillo 2011 international conference on computer vision, 2190-2197, 2011 | 255 | 2011 |
| Seamless scene segmentation L Porzi, SR Bulo, A Colovic, P Kontschieder Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 173 | 2019 |
| Neural decision forests for semantic image labelling S Rota Bulo, P Kontschieder Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | 151 | 2014 |
| Beyond pairwise shape similarity analysis P Kontschieder, M Donoser, H Bischof Computer Vision–ACCV 2009: 9th Asian Conference on Computer Vision, Xi’an …, 2010 | 151 | 2010 |
| Loss max-pooling for semantic image segmentation S Rota Bulo, G Neuhold, P Kontschieder Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 136 | 2017 |
| Decision forests, convolutional networks and the models in-between Y Ioannou, D Robertson, D Zikic, P Kontschieder, J Shotton, M Brown, ... arXiv preprint arXiv:1603.01250, 2016 | 99 | 2016 |
| Geof: Geodesic forests for learning coupled predictors P Kontschieder, P Kohli, J Shotton, A Criminisi Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013 | 85 | 2013 |
| Learning multi-object tracking and segmentation from automatic annotations L Porzi, M Hofinger, I Ruiz, J Serrat, SR Bulo, P Kontschieder Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 61 | 2020 |
| Depth sensing using an RGB camera A Criminisi, DP Robertson, P Kontschieder, P Kohli, H Turbell, A Dumitras, ... US Patent 9,626,766, 2017 | 51 | 2017 |
| Structured labels in random forests for semantic labelling and object detection P Kontschieder, SR Bulo, M Pelillo, H Bischof IEEE Transactions on Pattern Analysis and Machine Intelligence 36 (10), 2104 …, 2014 | 51 | 2014 |
| Dropout distillation SR Bulņ, L Porzi, P Kontschieder International Conference on Machine Learning, 99-107, 2016 | 49 | 2016 |
| Towards generalization across depth for monocular 3d object detection A Simonelli, SR Bulo, L Porzi, E Ricci, P Kontschieder Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 41 | 2020 |
| Quantifying progression of multiple sclerosis via classification of depth videos P Kontschieder, JF Dorn, C Morrison, R Corish, D Zikic, A Sellen, ... Medical Image Computing and Computer-Assisted Intervention–MICCAI 2014: 17th …, 2014 | 39 | 2014 |
| Context-sensitive decision forests for object detection P Kontschieder, S Rota Bulo, A Criminisi, P Kohli, M Pelillo, H Bischof NIPS, 2012 | 39 | 2012 |
| Disentangling monocular 3d object detection: From single to multi-class recognition A Simonelli, SR Bulo, L Porzi, ML Antequera, P Kontschieder IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (3), 1219-1231, 2020 | 33 | 2020 |
| Are we missing confidence in pseudo-lidar methods for monocular 3d object detection? A Simonelli, SR Bulo, L Porzi, P Kontschieder, E Ricci Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 30 | 2021 |
Samuel Rota BulņResearch Scientist, MetaVerified email at fb.com
