Dingfu Zhou
Cited by
Cited by
The apolloscape dataset for autonomous driving
X Huang, X Cheng, Q Geng, B Cao, D Zhou, P Wang, Y Lin, R Yang
CVPRW 2018, 954-960, 2018
The apolloscape open dataset for autonomous driving and its application
X Huang, P Wang, X Cheng, D Zhou, Q Geng, R Yang
T-PAMI 2020, 2018
Iou loss for 2d/3d object detection
D Zhou, J Fang, X Song, C Guan, J Yin, Y Dai, R Yang
3DV 2019, 85-94, 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
CVPR 2019, 5452-5462, 2019
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
CVPR 2020, 11495-11504, 2020
Augmented lidar simulator for autonomous driving
J Fang, D Zhou, F Yan, T Zhao, F Zhang, Y Ma, L Wang, R Yang
RAL 2020 5 (2), 1931-1938, 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
CVPR 2020, 1839-1849, 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
CVPR 2020, 5631-5640, 2020
Reliable scale estimation and correction for monocular visual odometry
D Zhou, Y Dai, H Li
IV 2016, 490-495, 2016
Autoshape: Real-time shape-aware monocular 3d object detection
Z Liu, D Zhou, F Lu, J Fang, L Zhang
ICCV 2021, 15641-15650, 2021
Ground-plane-based absolute scale estimation for monocular visual odometry
D Zhou, Y Dai, H Li
IEEE T-ITS 2019 21 (2), 791-802, 2019
Moving object detection and segmentation in urban environments from a moving platform
D Zhou, V Frémont, B Quost, Y Dai, H Li
IVC 2017 68, 76-87, 2017
FusionPainting: Multimodal fusion with adaptive attention for 3d object detection
S Xu, D Zhou, J Fang, J Yin, Z Bin, L Zhang
ITSC 2021, 3047-3054, 2021
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
Dvi: Depth guided video inpainting for autonomous driving
M Liao, F Lu, D Zhou, S Zhang, W Li, R Yang
ECCV 2020, 1-17, 2020
MLDA-Net: multi-level dual attention-based network for self-supervised monocular depth estimation
X Song, W Li, D Zhou, Y Dai, J Fang, H Li, L Zhang
IEEE T-IP 2021 30, 4691-4705, 2021
On modeling ego-motion uncertainty for moving object detection from a mobile platform
D Zhou, V Frémont, B Quost, B Wang
IV 2014, 1332-1338, 2014
A robust seamless image stitching algorithm based on feature points
D Zhou, M He, Q Yang
Measurement & Control Technology 28 (6), 32-36, 2009
Accurate extrinsic calibration between monocular camera and sparse 3D lidar points without markers
Z Xiao, H Li, D Zhou, Y Dai, B Dai
IV 2017, 424-429, 2017
Iafa: Instance-aware feature aggregation for 3d object detection from a single image
D Zhou, X Song, Y Dai, J Yin, F Lu, M Liao, J Fang, L Zhang
ACCV 2020, 2020
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