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
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