受强制性开放获取政策约束的文章 - Yurong You了解详情
可在其他位置公开访问的文章：8 篇
Resource aware person re-identification across multiple resolutions
Y Wang, L Wang, Y You, X Zou, V Chen, S Li, G Huang, B Hariharan, ...
Proceedings of the IEEE conference on computer vision and pattern …, 2018
强制性开放获取政策： US National Science Foundation, Bill & Melinda Gates Foundation, US …
End-to-end pseudo-lidar for image-based 3d object detection
R Qian, D Garg, Y Wang, Y You, S Belongie, B Hariharan, M Campbell, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
强制性开放获取政策： US National Science Foundation, Bill & Melinda Gates Foundation, US …
Train in germany, test in the usa: Making 3d object detectors generalize
Y Wang, X Chen, Y You, LE Li, B Hariharan, M Campbell, KQ Weinberger, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
强制性开放获取政策： US National Science Foundation, Bill & Melinda Gates Foundation, US …
Ithaca365: Dataset and driving perception under repeated and challenging weather conditions
CA Diaz-Ruiz, Y Xia, Y You, J Nino, J Chen, J Monica, X Chen, K Luo, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
强制性开放获取政策： US National Science Foundation, US Department of Defense
Learning to detect mobile objects from lidar scans without labels
Y You, K Luo, CP Phoo, WL Chao, W Sun, B Hariharan, M Campbell, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
强制性开放获取政策： US National Science Foundation, Bill & Melinda Gates Foundation, US …
Exploiting playbacks in unsupervised domain adaptation for 3d object detection in self-driving cars
Y You, CA Diaz-Ruiz, Y Wang, WL Chao, B Hariharan, M Campbell, ...
2022 International Conference on Robotics and Automation (ICRA), 5070-5077, 2022
强制性开放获取政策： US National Science Foundation, Bill & Melinda Gates Foundation, US …
Unsupervised adaptation from repeated traversals for autonomous driving
Y You, CP Phoo, K Luo, T Zhang, WL Chao, B Hariharan, M Campbell, ...
Advances in Neural Information Processing Systems 35, 27716-27729, 2022
强制性开放获取政策： US National Science Foundation, US Department of Defense
Reward finetuning for faster and more accurate unsupervised object discovery
K Luo, Z Liu, X Chen, Y You, S Benaim, CP Phoo, M Campbell, W Sun, ...
Advances in Neural Information Processing Systems 36, 13250-13266, 2023
强制性开放获取政策： US National Science Foundation, US Department of Defense
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