| 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 | 789 | 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 | 464 | 2015 |
| 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 | 269 | 2018 |
| 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 | 258 | 2019 |
| 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 | 246 | 2011 |
| Beyond pairwise shape similarity analysis P Kontschieder, M Donoser, H Bischof Asian conference on computer vision, 655-666, 2009 | 149 | 2009 |
| Neural decision forests for semantic image labelling S Rota Bulo, P Kontschieder Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | 141 | 2014 |
| Seamless scene segmentation L Porzi, SR Bulo, A Colovic, P Kontschieder Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 126 | 2019 |
| 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 | 119 | 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 | 86 | 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 | 83 | 2013 |
| 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 | 48 | 2014 |
| Dropout distillation SR Bulò, L Porzi, P Kontschieder International Conference on Machine Learning, 99-107, 2016 | 41 | 2016 |
| 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 | 39 | 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 | 39 | 2017 |
| Context-sensitive decision forests for object detection P Kontschieder, S Rota Bulo, A Criminisi, P Kohli, M Pelillo, H Bischof NIPS, 2012 | 39 | 2012 |
| Quantifying progression of multiple sclerosis via classification of depth videos P Kontschieder, JF Dorn, C Morrison, R Corish, D Zikic, A Sellen, ... International Conference on Medical Image Computing and Computer-Assisted …, 2014 | 35 | 2014 |
| Usability and acceptability of ASSESS MS: assessment of motor dysfunction in multiple sclerosis using depth-sensing computer vision C Morrison, M D'Souza, K Huckvale, JF Dorn, J Burggraaff, CP Kamm, ... JMIR human factors 2 (1), e4129, 2015 | 24 | 2015 |
| Setwise comparison: Consistent, scalable, continuum labels for computer vision A Sarkar, C Morrison, JF Dorn, R Bedi, S Steinheimer, J Boisvert, ... Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems …, 2016 | 23 | 2016 |
| Towards generalization across depth for monocular 3d object detection A Simonelli, SR Bulo, L Porzi, E Ricci, P Kontschieder European Conference on Computer Vision, 767-782, 2020 | 22 | 2020 |
Samuel Rota BulòResearch Scientist, FacebookVerified email at fb.com
