Workshop on Autonomous Driving
Complexer-YOLO: Real-Time 3D Object Detection and Tracking on Semantic Point Clouds-
[pdf]
[bibtex]@InProceedings{Simon_2019_CVPR_Workshops,
author = {Simon, Martin and Amende, Karl and Kraus, Andrea and Honer, Jens and Samann, Timo and Kaulbersch, Hauke and Milz, Stefan and Michael Gross, Horst},
title = {Complexer-YOLO: Real-Time 3D Object Detection and Tracking on Semantic Point Clouds},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}
MultiNet++: Multi-Stream Feature Aggregation and Geometric Loss Strategy for Multi-Task Learning-
[pdf]
[bibtex]@InProceedings{Chennupati_2019_CVPR_Workshops,
author = {Chennupati, Sumanth and Sistu, Ganesh and Yogamani, Senthil and A Rawashdeh, Samir},
title = {MultiNet++: Multi-Stream Feature Aggregation and Geometric Loss Strategy for Multi-Task Learning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}
Unsupervised Domain Adaptation for Semantic Segmentation of Urban Scenes-
[pdf]
[bibtex]@InProceedings{Biasetton_2019_CVPR_Workshops,
author = {Biasetton, Matteo and Michieli, Umberto and Agresti, Gianluca and Zanuttigh, Pietro},
title = {Unsupervised Domain Adaptation for Semantic Segmentation of Urban Scenes},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}
RailSem19: A Dataset for Semantic Rail Scene Understanding-
[pdf]
[bibtex]@InProceedings{Zendel_2019_CVPR_Workshops,
author = {Zendel, Oliver and Murschitz, Markus and Zeilinger, Marcel and Steininger, Daniel and Abbasi, Sara and Beleznai, Csaba},
title = {RailSem19: A Dataset for Semantic Rail Scene Understanding},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}
Sensor Fusion for Joint 3D Object Detection and Semantic Segmentation-
[pdf]
[bibtex]@InProceedings{Meyer_2019_CVPR_Workshops,
author = {Meyer, Gregory P. and Charland, Jake and Hegde, Darshan and Laddha, Ankit and Vallespi-Gonzalez, Carlos},
title = {Sensor Fusion for Joint 3D Object Detection and Semantic Segmentation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}
6D-VNet: End-To-End 6-DoF Vehicle Pose Estimation From Monocular RGB Images-
[pdf]
[supp]
[bibtex]@InProceedings{Wu_2019_CVPR_Workshops,
author = {Wu, Di and Zhuang, Zhaoyong and Xiang, Canqun and Zou, Wenbin and Li, Xia},
title = {6D-VNet: End-To-End 6-DoF Vehicle Pose Estimation From Monocular RGB Images},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}
RGB-D Indoor Mapping Using Deep Features-
[pdf]
[bibtex]@InProceedings{Guclu_2019_CVPR_Workshops,
author = {Guclu, Oguzhan and Caglayan, Ali and Burak Can, Ahmet},
title = {RGB-D Indoor Mapping Using Deep Features},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}
DistanceNet: Estimating Traveled Distance From Monocular Images Using a Recurrent Convolutional Neural Network-
[pdf]
[bibtex]@InProceedings{Kreuzig_2019_CVPR_Workshops,
author = {Kreuzig, Robin and Ochs, Matthias and Mester, Rudolf},
title = {DistanceNet: Estimating Traveled Distance From Monocular Images Using a Recurrent Convolutional Neural Network},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}
ROADS: Randomization for Obstacle Avoidance and Driving in Simulation-
[pdf]
[bibtex]@InProceedings{Pouyanfar_2019_CVPR_Workshops,
author = {Pouyanfar, Samira and Saleem, Muneeb and George, Nikhil and Chen, Shu-Ching},
title = {ROADS: Randomization for Obstacle Avoidance and Driving in Simulation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}
Real-Time Physics-Based Removal of Shadows and Shading From Road Surfaces-
[pdf]
[supp]
[bibtex]@InProceedings{Maxwell_2019_CVPR_Workshops,
author = {Maxwell, Bruce A. and Smith, Casey A. and Qraitem, Maan and Messing, Ross and Whitt, Spencer and Thien, Nicolas and Friedhoff, Richard M.},
title = {Real-Time Physics-Based Removal of Shadows and Shading From Road Surfaces},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}
Spatial Sampling Network for Fast Scene Understanding-
[pdf]
[bibtex]@InProceedings{Mazzini_2019_CVPR_Workshops,
author = {Mazzini, Davide and Schettini, Raimondo},
title = {Spatial Sampling Network for Fast Scene Understanding},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}
Attentional PointNet for 3D-Object Detection in Point Clouds-
[pdf]
[bibtex]@InProceedings{Paigwar_2019_CVPR_Workshops,
author = {Paigwar, Anshul and Erkent, Ozgur and Wolf, Christian and Laugier, Christian},
title = {Attentional PointNet for 3D-Object Detection in Point Clouds},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}
Accurate Visual Localization for Automotive Applications-
[pdf]
[bibtex]@InProceedings{Brosh_2019_CVPR_Workshops,
author = {Brosh, Eli and Friedmann, Matan and Kadar, Ilan and Yitzhak Lavy, Lev and Levi, Elad and Rippa, Shmuel and Lempert, Yair and Fernandez-Ruiz, Bruno and Herzig, Roei and Darrell, Trevor},
title = {Accurate Visual Localization for Automotive Applications},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}
DSCnet: Replicating Lidar Point Clouds With Deep Sensor Cloning-
[pdf]
[bibtex]@InProceedings{Tomasello_2019_CVPR_Workshops,
author = {Tomasello, Paden and Sidhu, Sammy and Shen, Anting and Moskewicz, Matthew W. and Redmon, Nobie and Joshi, Gayatri and Phadte, Romi and Jain, Paras and Iandola, Forrest},
title = {DSCnet: Replicating Lidar Point Clouds With Deep Sensor Cloning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}
Attention-Based Hierarchical Deep Reinforcement Learning for Lane Change Behaviors in Autonomous Driving-
[pdf]
[bibtex]@InProceedings{Chen_2019_CVPR_Workshops,
author = {Chen, Yilun and Dong, Chiyu and Palanisamy, Praveen and Mudalige, Priyantha and Muelling, Katharina and Dolan, John M.},
title = {Attention-Based Hierarchical Deep Reinforcement Learning for Lane Change Behaviors in Autonomous Driving},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}
Arguing Machines: Human Supervision of Black Box AI Systems That Make Life-Critical Decisions-
[pdf]
[bibtex]@InProceedings{Fridman_2019_CVPR_Workshops,
author = {Fridman, Lex and Ding, Li and Jenik, Benedikt and Reimer, Bryan},
title = {Arguing Machines: Human Supervision of Black Box AI Systems That Make Life-Critical Decisions},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}