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Peter Kontschieder
Peter Kontschieder
Director of Research at Meta
Dirección de correo verificada de meta.com
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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
13642017
Deep neural decision forests
P Kontschieder, M Fiterau, A Criminisi, SR Bulo
Proceedings of the IEEE international conference on computer vision, 1467-1475, 2015
6292015
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
5022019
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
3712018
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
2732011
Seamless scene segmentation
L Porzi, SR Bulo, A Colovic, P Kontschieder
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
2242019
Neural decision forests for semantic image labelling
S Rota Bulo, P Kontschieder
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014
1632014
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
1522017
Beyond pairwise shape similarity analysis
P Kontschieder, M Donoser, H Bischof
Computer Vision–ACCV 2009: 9th Asian Conference on Computer Vision, Xi’an …, 2010
1512010
Diffrf: Rendering-guided 3d radiance field diffusion
N Müller, Y Siddiqui, L Porzi, SR Bulo, P Kontschieder, M Nießner
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
1122023
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
1052016
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
902013
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
772020
Panoptic lifting for 3d scene understanding with neural fields
Y Siddiqui, L Porzi, SR Buló, N Müller, M Nießner, A Dai, P Kontschieder
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
662023
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
622020
Depth sensing using an RGB camera
A Criminisi, DP Robertson, P Kontschieder, P Kohli, H Turbell, A Dumitras, ...
US Patent 9,626,766, 2017
602017
Structured labels in random forests for semantic labelling and object detection
P Kontschieder, SR Bulò, M Pelillo, H Bischof
IEEE Transactions on Pattern Analysis and Machine Intelligence 36 (10), 2104 …, 2014
542014
Dropout distillation
SR Bulò, L Porzi, P Kontschieder
International Conference on Machine Learning, 99-107, 2016
512016
Autorf: Learning 3d object radiance fields from single view observations
N Müller, A Simonelli, L Porzi, SR Bulò, M Nießner, P Kontschieder
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
502022
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
482021
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