Publications
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Unsupervised Adaptation from Repeated Traversals for Autonomous Driving
Yurong You*, Cheng Perng Phoo*, Katie Z Luo*, Travis Zhang, Wei-Lun Chao, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger
In NeurIPS, 2022
TLDR : Data captured from repeated traversals of a scene can be used to adapt 3D object detectors to new domains without supervision
pdf  bibtex
@inproceedings{You2022Unsupervised,
title = {Unsupervised Adaptation from Repeated Traversals for Autonomous Driving},
author = {Yurong You and Cheng Perng Phoo and Katie Z Luo and Travis Zhang and Wei-Lun Chao and Bharath Hariharan and Mark Campbell and Kilian Q. Weinberger},
year = {2022},
booktitle = {NeurIPS}
}
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Exploiting Playbacks in Unsupervised Domain Adaptation for 3D Object Detection
Yurong You*, Carlos Andres Diaz-Ruiz*, Yan Wang, Wei-Lun Chao, Bharath Hariharan, Mark Campbell, Kilian Weinberger
In ICRA, 2022
TLDR : Extrapolating tracks of detected objects yields good ground truth for adapting 3D detectors
pdf  bibtex
@inproceedings{You2022Exploiting,
title = {Exploiting Playbacks in Unsupervised Domain Adaptation for 3D Object Detection},
author = {Yurong You and Carlos Andres Diaz-Ruiz and Yan Wang and Wei-Lun Chao and Bharath Hariharan and Mark Campbell and Kilian Weinberger},
year = {2022},
booktitle = {ICRA}
}
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Learning to Detect Mobile Objects from LiDAR Scans Without Labels
Yurong You*, Katie Luo*, Cheng Perng Phoo, Wei-Lun Chao, Wen Sun, Bharath Hariharan, Mark Campbell, Kilian Weinberger
In CVPR, 2022
TLDR : Can we train a 3D object detector without labels by simply driving around?
pdf  bibtex
@inproceedings{You2022Learning,
title = {Learning to Detect Mobile Objects from LiDAR Scans Without Labels},
author = {Yurong You and Katie Luo and Cheng Perng Phoo and Wei-Lun Chao and Wen Sun and Bharath Hariharan and Mark Campbell and Kilian Weinberger},
year = {2022},
booktitle = {CVPR}
}
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Hindsight is 20/20: Leveraging past traversals to aid 3D perception
Yurong You, Katie Luo, Xiangyu Chen, Junan Chen, Wei-Lun Chao, Wen Sun, Bharath Hariharan, Mark Campbell, Kilian Weinberger
In ICLR, 2022
TLDR : Can past traversals through a dynamic scene help 3D perception of the current scene?
pdf  bibtex
@inproceedings{You2022Hindsight,
title = {Hindsight is 20/20: Leveraging past traversals to aid 3D perception},
author = {Yurong You and Katie Luo and Xiangyu Chen and Junan Chen and Wei-Lun Chao and Wen Sun and Bharath Hariharan and Mark Campbell and Kilian Weinberger},
year = {2022},
booktitle = {ICLR}
}
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Train in Germany, Test in The USA: Making 3D Object Detectors Generalize
Yan Wang, Xiangyu Chen, Yurong You, Li Erran Li, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger, Wei-Lun Chao
In CVPR, 2020
TLDR : Domain differences lead to catastrophic failures in 3D object detection. We present a simple and effective remedy.
pdf  supp  bibtex
@inproceedings{Wang2020Train,
title = {Train in Germany, Test in The USA: Making 3D Object Detectors Generalize},
author = {Yan Wang and Xiangyu Chen and Yurong You and Li Erran Li and Bharath Hariharan and Mark Campbell and Kilian Q. Weinberger and Wei-Lun Chao},
year = {2020},
booktitle = {CVPR}
}
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End-to-end Pseudo-LiDAR for Image-Based 3D Object Detection
Rui Qian, Divyansh Garg, Yan Wang, Yurong You, Serge Belongie, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger, and Wei-Lun Chao
In CVPR, 2020
TLDR : We learn in an end-to-end manner how best to represent estimated depth for 3D object detection from stereo
pdf  supp  bibtex
@inproceedings{Qian2020End,
title = {End-to-end Pseudo-LiDAR for Image-Based 3D Object Detection},
author = {Rui Qian and Divyansh Garg and Yan Wang and Yurong You and Serge Belongie and Bharath Hariharan and Mark Campbell and Kilian Q. Weinberger and and Wei-Lun Chao},
year = {2020},
booktitle = {CVPR}
}
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Pseudo-lidar++: Accurate depth for 3d object detection in autonomous driving
Yurong You, Yan Wang, Wei-Lun Chao, Divyansh Garg, Geoff Pleiss, Bharath Hariharan, Mark Campbell, and Kilian Weinberger
In ICLR, 2020
TLDR : We can effectively replace expensive LiDAR with a combination of a cheaper, sparser LiDAR scanners and a higher quality stereo depth estimator
pdf  code  bibtex
@inproceedings{You2020Pseudo-lidar,
title = {Pseudo-lidar++: Accurate depth for 3d object detection in autonomous driving},
author = {Yurong You and Yan Wang and Wei-Lun Chao and Divyansh Garg and Geoff Pleiss and Bharath Hariharan and Mark Campbell and and Kilian Weinberger},
year = {2020},
booktitle = {ICLR}
}
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Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving
Yan Wang, Wei-Lun Chao, Divyansh Garg, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger
In CVPR, 2019
TLDR : We close the gap between vision-based and LiDAR-based 3D object detection by simply changing how estimated depth is represented in the model
pdf  supp  project page  bibtex
@inproceedings{Wang2019Pseudo-lidar,
title = {Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving},
author = {Yan Wang and Wei-Lun Chao and Divyansh Garg and Bharath Hariharan and Mark Campbell and Kilian Q. Weinberger},
year = {2019},
booktitle = {CVPR}
}
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