Autonomous Driving
The ApolloScape Dataset for Autonomous Driving-
[pdf]
[arXiv]
[bibtex]@InProceedings{Huang_2018_CVPR_Workshops,
author = {Huang, Xinyu and Cheng, Xinjing and Geng, Qichuan and Cao, Binbin and Zhou, Dingfu and Wang, Peng and Lin, Yuanqing and Yang, Ruigang},
title = {The ApolloScape Dataset for Autonomous Driving},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2018}
}
Scene Understanding Networks for Autonomous Driving Based on Around View Monitoring System-
[pdf]
[arXiv]
[bibtex]@InProceedings{Baek_2018_CVPR_Workshops,
author = {Yeol Baek, Jeong and Veronica Chelu, Ioana and Iordache, Livia and Paunescu, Vlad and Ryu, HyunJoo and Ghiuta, Alexandru and Petreanu, Andrei and Soh, YunSung and Leica, Andrei and Jeon, ByeongMoon},
title = {Scene Understanding Networks for Autonomous Driving Based on Around View Monitoring System},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2018}
}
Training Deep Networks With Synthetic Data: Bridging the Reality Gap by Domain Randomization-
[pdf]
[arXiv]
[bibtex]@InProceedings{Tremblay_2018_CVPR_Workshops,
author = {Tremblay, Jonathan and Prakash, Aayush and Acuna, David and Brophy, Mark and Jampani, Varun and Anil, Cem and To, Thang and Cameracci, Eric and Boochoon, Shaad and Birchfield, Stan},
title = {Training Deep Networks With Synthetic Data: Bridging the Reality Gap by Domain Randomization},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2018}
}
On the Iterative Refinement of Densely Connected Representation Levels for Semantic Segmentation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Casanova_2018_CVPR_Workshops,
author = {Casanova, Arantxa and Cucurull, Guillem and Drozdzal, Michal and Romero, Adriana and Bengio, Yoshua},
title = {On the Iterative Refinement of Densely Connected Representation Levels for Semantic Segmentation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2018}
}
Minimizing Supervision for Free-Space Segmentation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Tsutsui_2018_CVPR_Workshops,
author = {Tsutsui, Satoshi and Kerola, Tommi and Saito, Shunta and Crandall, David J.},
title = {Minimizing Supervision for Free-Space Segmentation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2018}
}
Error Correction for Dense Semantic Image Labeling-
[pdf]
[arXiv]
[bibtex]@InProceedings{Huang_2018_CVPR_Workshops,
author = {Huang, Yu-Hui and Jia, Xu and Georgoulis, Stamatios and Tuytelaars, Tinne and Van Gool, Luc},
title = {Error Correction for Dense Semantic Image Labeling},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2018}
}
On the Importance of Stereo for Accurate Depth Estimation: An Efficient Semi-Supervised Deep Neural Network Approach-
[pdf]
[arXiv]
[bibtex]@InProceedings{Smolyanskiy_2018_CVPR_Workshops,
author = {Smolyanskiy, Nikolai and Kamenev, Alexey and Birchfield, Stan},
title = {On the Importance of Stereo for Accurate Depth Estimation: An Efficient Semi-Supervised Deep Neural Network Approach},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2018}
}
Accurate Deep Direct Geo-Localization From Ground Imagery and Phone-Grade GPS-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Sun_2018_CVPR_Workshops,
author = {Sun, Shaohui and Sarukkai, Ramesh and Kwok, Jack and Shet, Vinay},
title = {Accurate Deep Direct Geo-Localization From Ground Imagery and Phone-Grade GPS},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2018}
}
Efficient and Safe Vehicle Navigation Based on Driver Behavior Classification-
[pdf]
[bibtex]@InProceedings{Cheung_2018_CVPR_Workshops,
author = {Cheung, Ernest and Bera, Aniket and Manocha, Dinesh},
title = {Efficient and Safe Vehicle Navigation Based on Driver Behavior Classification},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2018}
}
Detection of Distracted Driver Using Convolutional Neural Network-
[pdf]
[bibtex]@InProceedings{Baheti_2018_CVPR_Workshops,
author = {Baheti, Bhakti and Gajre, Suhas and Talbar, Sanjay},
title = {Detection of Distracted Driver Using Convolutional Neural Network},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2018}
}
Classifying Group Emotions for Socially-Aware Autonomous Vehicle Navigation-
[pdf]
[bibtex]@InProceedings{Bera_2018_CVPR_Workshops,
author = {Bera, Aniket and Randhavane, Tanmay and Wang, Austin and Manocha, Dinesh and Kubin, Emily and Gray, Kurt},
title = {Classifying Group Emotions for Socially-Aware Autonomous Vehicle Navigation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2018}
}
AutonoVi-Sim: Autonomous Vehicle Simulation Platform With Weather, Sensing, and Traffic Control-
[pdf]
[bibtex]@InProceedings{Best_2018_CVPR_Workshops,
author = {Best, Andrew and Narang, Sahil and Pasqualin, Lucas and Barber, Daniel and Manocha, Dinesh},
title = {AutonoVi-Sim: Autonomous Vehicle Simulation Platform With Weather, Sensing, and Traffic Control},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2018}
}
Learning Hierarchical Models for Class-Specific Reconstruction From Natural Data-
[pdf]
[bibtex]@InProceedings{Kumar_2018_CVPR_Workshops,
author = {CS Kumar, Arun and Bhandarkar, Suchendra M. and Prasad, Mukta},
title = {Learning Hierarchical Models for Class-Specific Reconstruction From Natural Data},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2018}
}
Subset Replay Based Continual Learning for Scalable Improvement of Autonomous Systems-
[pdf]
[bibtex]@InProceedings{Brahma_2018_CVPR_Workshops,
author = {Prabhanjan Brahma, Pratik and Othon, Adrienne},
title = {Subset Replay Based Continual Learning for Scalable Improvement of Autonomous Systems},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2018}
}