| The apolloscape dataset for autonomous driving X Huang, X Cheng, Q Geng, B Cao, D Zhou, P Wang, Y Lin, R Yang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 237 | 2018 |
| The apolloscape open dataset for autonomous driving and its application X Huang, P Wang, X Cheng, D Zhou, Q Geng, R Yang IEEE transactions on pattern analysis and machine intelligence 42 (10), 2702 …, 2019 | 108 | 2019 |
| Reliable scale estimation and correction for monocular visual odometry D Zhou, Y Dai, H Li 2016 IEEE intelligent vehicles symposium (IV), 490-495, 2016 | 39 | 2016 |
| Iou loss for 2d/3d object detection D Zhou, J Fang, X Song, C Guan, J Yin, Y Dai, R Yang 2019 International Conference on 3D Vision (3DV), 85-94, 2019 | 37 | 2019 |
| Apollocar3d: A large 3d car instance understanding benchmark for autonomous driving X Song, P Wang, D Zhou, R Zhu, C Guan, Y Dai, H Su, H Li, R Yang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 36 | 2019 |
| Moving object detection and segmentation in urban environments from a moving platform D Zhou, V Frémont, B Quost, Y Dai, H Li Image and Vision Computing 68, 76-87, 2017 | 23 | 2017 |
| Simulating LIDAR point cloud for autonomous driving using real-world scenes and traffic flows J Fang, F Yan, T Zhao, F Zhang, D Zhou, R Yang, Y Ma, L Wang arXiv preprint arXiv:1811.07112 1, 2018 | 20 | 2018 |
| Augmented lidar simulator for autonomous driving J Fang, D Zhou, F Yan, T Zhao, F Zhang, Y Ma, L Wang, R Yang IEEE Robotics and Automation Letters 5 (2), 1931-1938, 2020 | 16 | 2020 |
| Ground-plane-based absolute scale estimation for monocular visual odometry D Zhou, Y Dai, H Li IEEE Transactions on Intelligent Transportation Systems 21 (2), 791-802, 2019 | 15 | 2019 |
| On modeling ego-motion uncertainty for moving object detection from a mobile platform D Zhou, V Frémont, B Quost, B Wang 2014 IEEE Intelligent Vehicles Symposium Proceedings, 1332-1338, 2014 | 12 | 2014 |
| Lidar-based online 3d video object detection with graph-based message passing and spatiotemporal transformer attention J Yin, J Shen, C Guan, D Zhou, R Yang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 10 | 2020 |
| 一种基于特征点的稳健无缝图像拼接算法 周定富， 何明一， 杨青 测控技术 28 (006), 32-36, 2009 | 9 | 2009 |
| Accurate extrinsic calibration between monocular camera and sparse 3D lidar points without markers Z Xiao, H Li, D Zhou, Y Dai, B Dai 2017 IEEE Intelligent Vehicles Symposium (IV), 424-429, 2017 | 8 | 2017 |
| Soft label based semi-supervised boosting for classification and object recognition D Zhou, B Quost, V Frémont 2014 13th International Conference on Control Automation Robotics & Vision …, 2014 | 6 | 2014 |
| Realpoint3d: Point cloud generation from a single image with complex background Y Xia, Y Zhang, D Zhou, X Huang, C Wang, R Yang arXiv preprint arXiv:1809.02743, 2018 | 5 | 2018 |
| Learning 2d-3d correspondences to solve the blind perspective-n-point problem L Liu, D Campbell, H Li, D Zhou, X Song, R Yang arXiv preprint arXiv:2003.06752, 2020 | 4 | 2020 |
| Joint 3D Instance Segmentation and Object Detection for Autonomous Driving D Zhou, J Fang, X Song, L Liu, J Yin, Y Dai, H Li, R Yang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 3 | 2020 |
| Channel attention based iterative residual learning for depth map super-resolution X Song, Y Dai, D Zhou, L Liu, W Li, H Li, R Yang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 3 | 2020 |
| Moving objects detection and credal boosting based recognition in urban environments D Zhou, V Frémont, B Quost 2013 IEEE Conference on Cybernetics and Intelligent Systems (CIS), 24-29, 2013 | 2 | 2013 |
| Pixel-variant local homography for fisheye stereo rectification minimizing resampling distortion D Zhou, Y Dai, H Li arXiv preprint arXiv:1707.03775, 2017 | 1 | 2017 |
Ruigang YangBaidu Research/Professor of Computer Science, University of KentuckyVerified email at cs.uky.edu
