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Peter Kontschieder
Peter Kontschieder
Director of Research at Meta
meta.com의 이메일 확인됨
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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
15852017
Deep neural decision forests
P Kontschieder, M Fiterau, A Criminisi, SR Bulo
Proceedings of the IEEE international conference on computer vision, 1467-1475, 2015
6782015
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
5832019
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
3992018
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
2942011
Seamless scene segmentation
L Porzi, SR Bulo, A Colovic, P Kontschieder
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
2442019
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
2392023
Neural decision forests for semantic image labelling
S Rota Bulo, P Kontschieder
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014
1702014
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
1622017
Beyond pairwise shape similarity analysis
P Kontschieder, M Donoser, H Bischof
Computer Vision–ACCV 2009: 9th Asian Conference on Computer Vision, Xi’an …, 2010
1602010
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
1152023
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
1132016
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
922020
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
912013
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
722020
Orienternet: Visual localization in 2d public maps with neural matching
PE Sarlin, D DeTone, TY Yang, A Avetisyan, J Straub, T Malisiewicz, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
692023
Depth sensing using an RGB camera
A Criminisi, DP Robertson, P Kontschieder, P Kohli, H Turbell, A Dumitras, ...
US Patent 9,626,766, 2017
682017
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
662022
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
602020
Improving optical flow on a pyramid level
M Hofinger, SR Bulò, L Porzi, A Knapitsch, T Pock, P Kontschieder
European Conference on Computer Vision, 770-786, 2020
562020
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