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mapillary research about datasets team visit mapillary com deep learning and computer vision mapillary research is innovating the science behind the world s leading street level imagery platform for understanding places about mapillary research welcome to mapillary research a place where we share scientific papers data code and news research at mapillary covers machine learning using deep learning and computer vision two of our main directions are large scale structure from motion and object recognition these are the fundamental building blocks that power mapillary and our processing services research and product development are tightly coupled at mapillary and our results rapidly find their way into production we publish papers and open source code to share our findings learn more about our team news our paper are we missing confidence in pseudo lidar methods for monocular 3d object detection got accepted for poster presentation at iccv 2021 august 2021 we are co organizing a tutorial about our novel metropolis dataset at iccv 2021 june 2021 we are co organizing the 1st workshop on 3d objection detection from images 3dodi at iccv 2021 june 2021 our paper improving panoptic segmentation at all scales got accepted for oral presentation at cvpr 2021 june 2021 publications crowddriven a new challenging dataset for outdoor visual localization by ara jafarzadeh manuel lópez antequera pau gargallo yubin kuang carl toft fredrik kahl torsten sattler proceedings of the ieee cvf international conference on computer vision iccv 2021 improving panoptic segmentation at all scales by lorenzo porzi samuel rota bulò peter kontschieder conf on computer vision and pattern recognition cvpr 2021 mapillary planet scale depth dataset by manuel lópez antequera pau gargallo markus hofinger samuel rota bulò yubin kuang peter kontschieder european conf on computer vision eccv 2020 improving optical flow on a pyramid level by markus hofinger samuel rota bulò lorenzo porzi arno knapitsch thomas pock peter kontschieder european conf on computer vision eccv 2020 towards generalization across depth for monocular 3d object detection by andrea simonelli samuel rota bulò lorenzo porzi elisa ricci peter kontschieder european conf on computer vision eccv 2020 the mapillary traffic sign dataset for detection and classification on a global scale by christian ertler jerneja mislej tobias ollmann lorenzo porzi gerhard neuhold yubin kuang european conf on computer vision eccv 2020 modeling the background for incremental learning in semantic segmentation by fabio cermelli massimiliano mancini samuel rota bulò elisa ricci barbara caputo conf on computer vision and pattern recognition cvpr 2020 mapillary street level sequences a dataset for lifelong place recognition by frederik warburg soren hauberg manuel lópez antequera pau gargallo yubin kuang javier civera conf on computer vision and pattern recognition cvpr 2020 learning multi object tracking and segmentation from automatic annotations by lorenzo porzi markus hofinger idoia ruiz joan serrat samuel rota bulò peter kontschieder international conf on computer vision iccv 2019 disentangling monocular 3d object detection by andrea simonelli samuel rota bulò lorenzo porzi manuel lópez antequera peter kontschieder conf on computer vision and pattern recognition cvpr 2019 seamless scene segmentation by lorenzo porzi samuel rota bulò aleksander colovic peter kontschieder conf on computer vision and pattern recognition cvpr 2019 adagraph unifying predictive and continuous domain adaptation through graphs by massimiliano mancini samuel rota bulò barbara caputo elisa ricci conf on computer vision and pattern recognition cvpr 2019 unsupervised domain adaptation using feature whitening and consensus loss by subhankar roy aliaksandr siarohin enver sangineto samuel rota bulò nicu sebe elisa ricci conf on computer vision and pattern recognition cvpr 2019 deep single image camera calibration with radial distortion by manuel lópez antequera roger marı́ pau gargallo yubin kuang javier gonzalez jimenez gloria haro conf on computer vision and pattern recognition cvpr 2019 in place activated batchnorm for memory optimized training of dnns by samuel rota bulò lorenzo porzi peter kontschieder conf on computer vision and pattern recognition cvpr 2018 boosting domain adaptation by discovering latent domains by massimilano mancini lorenzo porzi samuel rota bulò barbara caputo elisa ricci conf on computer vision and pattern recognition cvpr 2018 geometry aware network for non rigid shape prediction from a single view by albert pumarola antonio agudo lorenzo porzi alberto sanfeliu vincent lepetit francesc moreno noguer conf on computer vision and pattern recognition cvpr 2018 the mapillary vistas dataset for semantic understanding of street scenes by gerhard neuhold tobias ollmann samuel rota bulò peter kontschieder international conf on computer vision iccv 2017 autodial automatic domain alignment layers by fabio maria carlucci lorenzo porzi barbara caputo elisa ricci samuel rota bulò international conf on computer vision iccv 2017 loss max pooling for semantic image segmentation by samuel rota bulò gerhard neuhold peter kontschieder conf on computer vision and pattern recognition cvpr 2017 online learning with bayesian classification trees by samuel rota bulò peter kontschieder conf on computer vision and pattern recognition cvpr 2016 dropout distillation by samuel rota bulò lorenzo porzi peter kontschieder intern conf on machine learning icml 2016 mapillary com terms of use privacy policy mapillary 2026 made with ️ in