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Dingfu Zhou
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2020 – today
- 2024
- [c22]Jin Fang, Dingfu Zhou, Jingjing Zhao, Chenming Wu, Chulin Tang, Cheng-Zhong Xu, Liangjun Zhang:
LiDAR-CS Dataset: LiDAR Point Cloud Dataset with Cross-Sensors for 3D Object Detection. ICRA 2024: 14822-14829 - 2023
- [j15]Xuhong Li, Haoyi Xiong, Yi Liu, Dingfu Zhou, Zeyu Chen, Yaqing Wang, Dejing Dou:
Distilling ensemble of explanations for weakly-supervised pre-training of image segmentation models. Mach. Learn. 112(6): 2193-2209 (2023) - [j14]Zhelun Shen, Xibin Song, Yuchao Dai, Dingfu Zhou, Zhibo Rao, Liangjun Zhang:
Digging Into Uncertainty-Based Pseudo-Label for Robust Stereo Matching. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14301-14320 (2023) - [j13]Xibin Song, Dingfu Zhou, Wei Li, Haodong Ding, Yuchao Dai, Liangjun Zhang:
WSAMF-Net: Wavelet Spatial Attention-Based MultiStream Feedback Network for Single Image Dehazing. IEEE Trans. Circuits Syst. Video Technol. 33(2): 575-588 (2023) - [j12]Xibin Song, Dingfu Zhou, Wei Li, Yuchao Dai, Zhelun Shen, Liangjun Zhang, Hongdong Li:
TUSR-Net: Triple Unfolding Single Image Dehazing With Self-Regularization and Dual Feature to Pixel Attention. IEEE Trans. Image Process. 32: 1231-1244 (2023) - [i24]Jin Fang, Dingfu Zhou, Jingjing Zhao, Chulin Tang, Cheng-Zhong Xu, Liangjun Zhang:
LiDAR-CS Dataset: LiDAR Point Cloud Dataset with Cross-Sensors for 3D Object Detection. CoRR abs/2301.12515 (2023) - [i23]Zhelun Shen, Xibin Song, Yuchao Dai, Dingfu Zhou, Zhibo Rao, Liangjun Zhang:
Digging Into Uncertainty-based Pseudo-label for Robust Stereo Matching. CoRR abs/2307.16509 (2023) - 2022
- [j11]Zhiyuan Zhang, Jiadai Sun, Yuchao Dai, Dingfu Zhou, Xibin Song, Mingyi He:
A Representation Separation Perspective to Correspondence-Free Unsupervised 3-D Point Cloud Registration. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j10]Zhiyuan Zhang, Jiadai Sun, Yuchao Dai, Dingfu Zhou, Xibin Song, Mingyi He:
Self-supervised rigid transformation equivariance for accurate 3D point cloud registration. Pattern Recognit. 130: 108784 (2022) - [j9]Mingle Zhao, Dingfu Zhou, Xibin Song, Xiuwan Chen, Liangjun Zhang:
DiT-SLAM: Real-Time Dense Visual-Inertial SLAM with Implicit Depth Representation and Tightly-Coupled Graph Optimization. Sensors 22(9): 3389 (2022) - [j8]Hang Gao, Chun Shen, Yi Zhou, Xue-Song Wang, Pak-Wai Chan, Kai-Kwong Hon, Dingfu Zhou, Jianbing Li:
A Spatio-Temporal Neural Network for Fine-Scale Wind Field Nowcasting Based on Lidar Observation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 5596-5606 (2022) - [j7]Dingfu Zhou, Xibin Song, Jin Fang, Yuchao Dai, Hongdong Li, Liangjun Zhang:
Context-Aware 3D Object Detection From a Single Image in Autonomous Driving. IEEE Trans. Intell. Transp. Syst. 23(10): 18568-18580 (2022) - [j6]Xibin Song, Dingfu Zhou, Wei Li, Yuchao Dai, Liu Liu, Hongdong Li, Ruigang Yang, Liangjun Zhang:
WAFP-Net: Weighted Attention Fusion Based Progressive Residual Learning for Depth Map Super-Resolution. IEEE Trans. Multim. 24: 4113-4127 (2022) - [c21]Zhiyuan Zhang, Jiadai Sun, Yuchao Dai, Dingfu Zhou, Xibin Song, Mingyi He:
End-to-End Learning the Partial Permutation Matrix for Robust 3D Point Cloud Registration. AAAI 2022: 3399-3407 - [c20]Junbo Yin, Dingfu Zhou, Liangjun Zhang, Jin Fang, Cheng-Zhong Xu, Jianbing Shen, Wenguan Wang:
ProposalContrast: Unsupervised Pre-training for LiDAR-Based 3D Object Detection. ECCV (39) 2022: 17-33 - [c19]Zhelun Shen, Yuchao Dai, Xibin Song, Zhibo Rao, Dingfu Zhou, Liangjun Zhang:
PCW-Net: Pyramid Combination and Warping Cost Volume for Stereo Matching. ECCV (32) 2022: 280-297 - [c18]Junbo Yin, Jin Fang, Dingfu Zhou, Liangjun Zhang, Cheng-Zhong Xu, Jianbing Shen, Wenguan Wang:
Semi-supervised 3D Object Detection with Proficient Teachers. ECCV (38) 2022: 727-743 - [i22]Zhiyuan Zhang, Jiadai Sun, Yuchao Dai, Dingfu Zhou, Xibin Song, Mingyi He:
A Representation Separation Perspective to Correspondences-free Unsupervised 3D Point Cloud Registration. CoRR abs/2203.13239 (2022) - [i21]Xuhong Li, Haoyi Xiong, Yi Liu, Dingfu Zhou, Zeyu Chen, Yaqing Wang, Dejing Dou:
Distilling Ensemble of Explanations for Weakly-Supervised Pre-Training of Image Segmentation Models. CoRR abs/2207.03335 (2022) - [i20]Junbo Yin, Dingfu Zhou, Liangjun Zhang, Jin Fang, Cheng-Zhong Xu, Jianbing Shen, Wenguan Wang:
ProposalContrast: Unsupervised Pre-training for LiDAR-based 3D Object Detection. CoRR abs/2207.12654 (2022) - [i19]Junbo Yin, Jin Fang, Dingfu Zhou, Liangjun Zhang, Cheng-Zhong Xu, Jianbing Shen, Wenguan Wang:
Semi-supervised 3D Object Detection with Proficient Teachers. CoRR abs/2207.12655 (2022) - [i18]Shaoqing Xu, Dingfu Zhou, Jin Fang, Pengcheng Wang, Liangjun Zhang:
Multi-Sem Fusion: Multimodal Semantic Fusion for 3D Object Detection. CoRR abs/2212.05265 (2022) - 2021
- [j5]Xibin Song, Wei Li, Dingfu Zhou, Yuchao Dai, Jin Fang, Hongdong Li, Liangjun Zhang:
MLDA-Net: Multi-Level Dual Attention-Based Network for Self-Supervised Monocular Depth Estimation. IEEE Trans. Image Process. 30: 4691-4705 (2021) - [c17]Jin Fang, Xinxin Zuo, Dingfu Zhou, Shengze Jin, Sen Wang, Liangjun Zhang:
LiDAR-Aug: A General Rendering-Based Augmentation Framework for 3D Object Detection. CVPR 2021: 4710-4720 - [c16]Zongdai Liu, Dingfu Zhou, Feixiang Lu, Jin Fang, Liangjun Zhang:
AutoShape: Real-Time Shape-Aware Monocular 3D Object Detection. ICCV 2021: 15621-15630 - [c15]Jin Fang, Dingfu Zhou, Xibin Song, Liangjun Zhang:
MapFusion: A General Framework for 3D Object Detection with HDMaps. IROS 2021: 3406-3413 - [c14]Shaoqing Xu, Dingfu Zhou, Jin Fang, Junbo Yin, Bin Zhou, Liangjun Zhang:
FusionPainting: Multimodal Fusion with Adaptive Attention for 3D Object Detection. ITSC 2021: 3047-3054 - [i17]Dingfu Zhou, Xibin Song, Yuchao Dai, Junbo Yin, Feixiang Lu, Jin Fang, Miao Liao, Liangjun Zhang:
IAFA: Instance-aware Feature Aggregation for 3D Object Detection from a Single Image. CoRR abs/2103.03480 (2021) - [i16]Jin Fang, Dingfu Zhou, Xibin Song, Liangjun Zhang:
MapFusion: A General Framework for 3D Object Detection with HDMaps. CoRR abs/2103.05929 (2021) - [i15]Shaoqing Xu, Dingfu Zhou, Jin Fang, Junbo Yin, Bin Zhou, Liangjun Zhang:
FusionPainting: Multimodal Fusion with Adaptive Attention for 3D Object Detection. CoRR abs/2106.12449 (2021) - [i14]Zongdai Liu, Dingfu Zhou, Feixiang Lu, Jin Fang, Liangjun Zhang:
AutoShape: Real-Time Shape-Aware Monocular 3D Object Detection. CoRR abs/2108.11127 (2021) - [i13]Zhiyuan Zhang, Jiadai Sun, Yuchao Dai, Dingfu Zhou, Xibin Song, Mingyi He:
End-to-end Learning the Partial Permutation Matrix for Robust 3D Point Cloud Registration. CoRR abs/2110.15250 (2021) - 2020
- [j4]Xinyu Huang, Peng Wang, Xinjing Cheng, Dingfu Zhou, Qichuan Geng, Ruigang Yang:
The ApolloScape Open Dataset for Autonomous Driving and Its Application. IEEE Trans. Pattern Anal. Mach. Intell. 42(10): 2702-2719 (2020) - [j3]Jin Fang, Dingfu Zhou, Feilong Yan, Tongtong Zhao, Feihu Zhang, Yu Ma, Liang Wang, Ruigang Yang:
Augmented LiDAR Simulator for Autonomous Driving. IEEE Robotics Autom. Lett. 5(2): 1931-1938 (2020) - [j2]Dingfu Zhou, Yuchao Dai, Hongdong Li:
Ground-Plane-Based Absolute Scale Estimation for Monocular Visual Odometry. IEEE Trans. Intell. Transp. Syst. 21(2): 791-802 (2020) - [c13]Jin Fang, Dingfu Zhou, Xibin Song, Shengze Jin, Ruigang Yang, Liangjun Zhang:
RotPredictor: Unsupervised Canonical Viewpoint Learning for Point Cloud Classification. 3DV 2020: 987-996 - [c12]Dingfu Zhou, Xibin Song, Yuchao Dai, Junbo Yin, Feixiang Lu, Miao Liao, Jin Fang, Liangjun Zhang:
IAFA: Instance-Aware Feature Aggregation for 3D Object Detection from a Single Image. ACCV (1) 2020: 417-435 - [c11]Dingfu Zhou, Jin Fang, Xibin Song, Liu Liu, Junbo Yin, Yuchao Dai, Hongdong Li, Ruigang Yang:
Joint 3D Instance Segmentation and Object Detection for Autonomous Driving. CVPR 2020: 1836-1846 - [c10]Xibin Song, Yuchao Dai, Dingfu Zhou, Liu Liu, Wei Li, Hongdong Li, Ruigang Yang:
Channel Attention Based Iterative Residual Learning for Depth Map Super-Resolution. CVPR 2020: 5630-5639 - [c9]Junbo Yin, Jianbing Shen, Chenye Guan, Dingfu Zhou, Ruigang Yang:
LiDAR-Based Online 3D Video Object Detection With Graph-Based Message Passing and Spatiotemporal Transformer Attention. CVPR 2020: 11492-11501 - [c8]Miao Liao, Feixiang Lu, Dingfu Zhou, Sibo Zhang, Wei Li, Ruigang Yang:
DVI: Depth Guided Video Inpainting for Autonomous Driving. ECCV (21) 2020: 1-17 - [i12]Liu Liu, Dylan Campbell, Hongdong Li, Dingfu Zhou, Xibin Song, Ruigang Yang:
Learning 2D-3D Correspondences To Solve The Blind Perspective-n-Point Problem. CoRR abs/2003.06752 (2020) - [i11]Junbo Yin, Jianbing Shen, Chenye Guan, Dingfu Zhou, Ruigang Yang:
LiDAR-based Online 3D Video Object Detection with Graph-based Message Passing and Spatiotemporal Transformer Attention. CoRR abs/2004.01389 (2020) - [i10]Xibin Song, Yuchao Dai, Dingfu Zhou, Liu Liu, Wei Li, Hongdong Li, Ruigang Yang:
Channel Attention based Iterative Residual Learning for Depth Map Super-Resolution. CoRR abs/2006.01469 (2020) - [i9]Feixiang Lu, Zongdai Liu, Xibin Song, Dingfu Zhou, Wei Li, Hui Miao, Miao Liao, Liangjun Zhang, Bin Zhou, Ruigang Yang, Dinesh Manocha:
PerMO: Perceiving More at Once from a Single Image for Autonomous Driving. CoRR abs/2007.08116 (2020) - [i8]Miao Liao, Feixiang Lu, Dingfu Zhou, Sibo Zhang, Wei Li, Ruigang Yang:
DVI: Depth Guided Video Inpainting for Autonomous Driving. CoRR abs/2007.08854 (2020)
2010 – 2019
- 2019
- [c7]Dingfu Zhou, Jin Fang, Xibin Song, Chenye Guan, Junbo Yin, Yuchao Dai, Ruigang Yang:
IoU Loss for 2D/3D Object Detection. 3DV 2019: 85-94 - [c6]Xibin Song, Peng Wang, Dingfu Zhou, Rui Zhu, Chenye Guan, Yuchao Dai, Hao Su, Hongdong Li, Ruigang Yang:
ApolloCar3D: A Large 3D Car Instance Understanding Benchmark for Autonomous Driving. CVPR 2019: 5452-5462 - [i7]Dingfu Zhou, Yuchao Dai, Hongdong Li:
Ground Plane based Absolute Scale Estimation for Monocular Visual Odometry. CoRR abs/1903.00912 (2019) - [i6]Dingfu Zhou, Jin Fang, Xibin Song, Chenye Guan, Junbo Yin, Yuchao Dai, Ruigang Yang:
IoU Loss for 2D/3D Object Detection. CoRR abs/1908.03851 (2019) - 2018
- [c5]Xinyu Huang, Xinjing Cheng, Qichuan Geng, Binbin Cao, Dingfu Zhou, Peng Wang, Yuanqing Lin, Ruigang Yang:
The ApolloScape Dataset for Autonomous Driving. CVPR Workshops 2018: 954-960 - [i5]Xinyu Huang, Xinjing Cheng, Qichuan Geng, Binbin Cao, Dingfu Zhou, Peng Wang, Yuanqing Lin, Ruigang Yang:
The ApolloScape Dataset for Autonomous Driving. CoRR abs/1803.06184 (2018) - [i4]Yan Xia, Yang Zhang, Dingfu Zhou, Xinyu Huang, Cheng Wang, Ruigang Yang:
RealPoint3D: Point Cloud Generation from a Single Image with Complex Background. CoRR abs/1809.02743 (2018) - [i3]Jin Fang, Feilong Yan, Tongtong Zhao, Feihu Zhang, Dingfu Zhou, Ruigang Yang, Yu Ma, Liang Wang:
Simulating LIDAR Point Cloud for Autonomous Driving using Real-world Scenes and Traffic Flows. CoRR abs/1811.07112 (2018) - [i2]Xibin Song, Peng Wang, Dingfu Zhou, Rui Zhu, Chenye Guan, Yuchao Dai, Hao Su, Hongdong Li, Ruigang Yang:
ApolloCar3D: A Large 3D Car Instance Understanding Benchmark for Autonomous Driving. CoRR abs/1811.12222 (2018) - 2017
- [j1]Dingfu Zhou, Vincent Frémont, Benjamin Quost, Yuchao Dai, Hongdong Li:
Moving object detection and segmentation in urban environments from a moving platform. Image Vis. Comput. 68: 76-87 (2017) - [c4]Zhipeng Xiao, Hongdong Li, Dingfu Zhou, Yuchao Dai, Bin Dai:
Accurate extrinsic calibration between monocular camera and sparse 3D Lidar points without markers. Intelligent Vehicles Symposium 2017: 424-429 - [i1]Dingfu Zhou, Yuchao Dai, Hongdong Li:
Pixel-variant Local Homography for Fisheye Stereo Rectification Minimizing Resampling Distortion. CoRR abs/1707.03775 (2017) - 2016
- [c3]Dingfu Zhou, Yuchao Dai, Hongdong Li:
Reliable scale estimation and correction for monocular Visual Odometry. Intelligent Vehicles Symposium 2016: 490-495 - 2014
- [b1]Dingfu Zhou:
Vision-based moving pedestrian recognition from imprecise and uncertain data. (Reconnaissance de piétons par vision à partir de données imprécises et incertaines). University of Technology of Compiègne, France, 2014 - [c2]Dingfu Zhou, Benjamin Quost, Vincent Frémont:
Soft label based semi-supervised boosting for classification and object recognition. ICARCV 2014: 1062-1067 - [c1]Dingfu Zhou, Vincent Frémont, Benjamin Quost, Bihao Wang:
On modeling ego-motion uncertainty for moving object detection from a mobile platform. Intelligent Vehicles Symposium 2014: 1332-1338
Coauthor Index
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last updated on 2024-10-07 21:19 CEST by the dblp team
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