Dingfu Zhou
Title
Cited by
Cited by
Year
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
3012018
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
1922019
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
922019
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
652019
Reliable scale estimation and correction for monocular visual odometry
D Zhou, Y Dai, H Li
2016 IEEE intelligent vehicles symposium (IV), 490-495, 2016
462016
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
352020
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
332020
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
282017
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
272020
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
242018
A robust seamless image stitching algorithm based on feature points
D Zhou, M He, Q Yang
Measurement & Control Technology 28 (6), 32-36, 2009
24*2009
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
222019
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
202020
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
142014
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
102017
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
72018
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
62014
Dvi: Depth guided video inpainting for autonomous driving
M Liao, F Lu, D Zhou, S Zhang, W Li, R Yang
European Conference on Computer Vision, 1-17, 2020
52020
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
52020
MapFusion: A General Framework for 3D Object Detection with HDMaps
J Fang, D Zhou, X Song, L Zhang
arXiv preprint arXiv:2103.05929, 2021
42021
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