Dingfu Zhou

According to our database, Dingfu Zhou authored at least 45 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Digging Into Uncertainty-Based Pseudo-Label for Robust Stereo Matching.

Zhelun Shen, Xibin Song, Yuchao Dai, Dingfu Zhou, Zhibo Rao, Liangjun Zhang

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Distilling ensemble of explanations for weakly-supervised pre-training of image segmentation models.

Xuhong Li, Haoyi Xiong, Yi Liu, Dingfu Zhou, Zeyu Chen, Yaqing Wang, Dejing Dou

Mach. Learn., June, 2023

WSAMF-Net: Wavelet Spatial Attention-Based MultiStream Feedback Network for Single Image Dehazing.

Xibin Song, Dingfu Zhou, Wei Li, Haodong Ding, Yuchao Dai, Liangjun Zhang

IEEE Trans. Circuits Syst. Video Technol., February, 2023

TUSR-Net: Triple Unfolding Single Image Dehazing With Self-Regularization and Dual Feature to Pixel Attention.

Xibin Song, Dingfu Zhou, Wei Li, Yuchao Dai, Zhelun Shen, Liangjun Zhang, Hongdong Li

IEEE Trans. Image Process., 2023

LiDAR-CS Dataset: LiDAR Point Cloud Dataset with Cross-Sensors for 3D Object Detection.

Jin Fang, Dingfu Zhou, Jingjing Zhao, Chulin Tang, Cheng-Zhong Xu, Liangjun Zhang

CoRR, 2023

2022

WAFP-Net: Weighted Attention Fusion Based Progressive Residual Learning for Depth Map Super-Resolution.

Xibin Song, Dingfu Zhou, Wei Li, Yuchao Dai, Liu Liu, Hongdong Li, Ruigang Yang, Liangjun Zhang

IEEE Trans. Multim., 2022

Context-Aware 3D Object Detection From a Single Image in Autonomous Driving.

Dingfu Zhou, Xibin Song, Jin Fang, Yuchao Dai, Hongdong Li, Liangjun Zhang

IEEE Trans. Intell. Transp. Syst., 2022

A Spatio-Temporal Neural Network for Fine-Scale Wind Field Nowcasting Based on Lidar Observation.

Hang Gao, Chun Shen, Yi Zhou, Xue-Song Wang, Pak-Wai Chan, Kai-Kwong Hon, Dingfu Zhou, Jianbing Li

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

DiT-SLAM: Real-Time Dense Visual-Inertial SLAM with Implicit Depth Representation and Tightly-Coupled Graph Optimization.

Mingle Zhao, Dingfu Zhou, Xibin Song, Xiuwan Chen, Liangjun Zhang

Sensors, 2022

Self-supervised rigid transformation equivariance for accurate 3D point cloud registration.

Zhiyuan Zhang, Jiadai Sun, Yuchao Dai, Dingfu Zhou, Xibin Song, Mingyi He

Pattern Recognit., 2022

A Representation Separation Perspective to Correspondence-Free Unsupervised 3-D Point Cloud Registration.

Zhiyuan Zhang, Jiadai Sun, Yuchao Dai, Dingfu Zhou, Xibin Song, Mingyi He

IEEE Geosci. Remote. Sens. Lett., 2022

Multi-Sem Fusion: Multimodal Semantic Fusion for 3D Object Detection.

Shaoqing Xu, Dingfu Zhou, Jin Fang, Pengcheng Wang, Liangjun Zhang

CoRR, 2022

A Representation Separation Perspective to Correspondences-free Unsupervised 3D Point Cloud Registration.

Zhiyuan Zhang, Jiadai Sun, Yuchao Dai, Dingfu Zhou, Xibin Song, Mingyi He

CoRR, 2022

ProposalContrast: Unsupervised Pre-training for LiDAR-Based 3D Object Detection.

Junbo Yin, Dingfu Zhou, Liangjun Zhang, Jin Fang, Cheng-Zhong Xu, Jianbing Shen, Wenguan Wang

Proceedings of the Computer Vision - ECCV 2022, 2022

Semi-supervised 3D Object Detection with Proficient Teachers.

Junbo Yin, Jin Fang, Dingfu Zhou, Liangjun Zhang, Cheng-Zhong Xu, Jianbing Shen, Wenguan Wang

Proceedings of the Computer Vision - ECCV 2022, 2022

PCW-Net: Pyramid Combination and Warping Cost Volume for Stereo Matching.

Zhelun Shen, Yuchao Dai, Xibin Song, Zhibo Rao, Dingfu Zhou, Liangjun Zhang

Proceedings of the Computer Vision - ECCV 2022, 2022

End-to-End Learning the Partial Permutation Matrix for Robust 3D Point Cloud Registration.

Zhiyuan Zhang, Jiadai Sun, Yuchao Dai, Dingfu Zhou, Xibin Song, Mingyi He

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

MLDA-Net: Multi-Level Dual Attention-Based Network for Self-Supervised Monocular Depth Estimation.

Xibin Song, Wei Li, Dingfu Zhou, Yuchao Dai, Jin Fang, Hongdong Li, Liangjun Zhang

IEEE Trans. Image Process., 2021

FusionPainting: Multimodal Fusion with Adaptive Attention for 3D Object Detection.

Shaoqing Xu, Dingfu Zhou, Jin Fang, Junbo Yin, Bin Zhou, Liangjun Zhang

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

MapFusion: A General Framework for 3D Object Detection with HDMaps.

Jin Fang, Dingfu Zhou, Xibin Song, Liangjun Zhang

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

AutoShape: Real-Time Shape-Aware Monocular 3D Object Detection.

Zongdai Liu, Dingfu Zhou, Feixiang Lu, Jin Fang, Liangjun Zhang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

LiDAR-Aug: A General Rendering-Based Augmentation Framework for 3D Object Detection.

Jin Fang, Xinxin Zuo, Dingfu Zhou, Shengze Jin, Sen Wang, Liangjun Zhang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Ground-Plane-Based Absolute Scale Estimation for Monocular Visual Odometry.

Dingfu Zhou, Yuchao Dai, Hongdong Li

IEEE Trans. Intell. Transp. Syst., 2020

Augmented LiDAR Simulator for Autonomous Driving.

Jin Fang, Dingfu Zhou, Feilong Yan, Tongtong Zhao, Feihu Zhang, Yu Ma, Liang Wang, Ruigang Yang

IEEE Robotics Autom. Lett., 2020

The ApolloScape Open Dataset for Autonomous Driving and Its Application.

Xinyu Huang, Peng Wang, Xinjing Cheng, Dingfu Zhou, Qichuan Geng, Ruigang Yang

IEEE Trans. Pattern Anal. Mach. Intell., 2020

PerMO: Perceiving More at Once from a Single Image for Autonomous Driving.

Feixiang Lu, Zongdai Liu, Xibin Song, Dingfu Zhou, Wei Li, Hui Miao, Miao Liao, Liangjun Zhang, Bin Zhou, Ruigang Yang, Dinesh Manocha

CoRR, 2020

Learning 2D-3D Correspondences To Solve The Blind Perspective-n-Point Problem.

Liu Liu, Dylan Campbell, Hongdong Li, Dingfu Zhou, Xibin Song, Ruigang Yang

CoRR, 2020

DVI: Depth Guided Video Inpainting for Autonomous Driving.

Miao Liao, Feixiang Lu, Dingfu Zhou, Sibo Zhang, Wei Li, Ruigang Yang

Proceedings of the Computer Vision - ECCV 2020, 2020

Joint 3D Instance Segmentation and Object Detection for Autonomous Driving.

Dingfu Zhou, Jin Fang, Xibin Song, Liu Liu, Junbo Yin, Yuchao Dai, Hongdong Li, Ruigang Yang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

LiDAR-Based Online 3D Video Object Detection With Graph-Based Message Passing and Spatiotemporal Transformer Attention.

Junbo Yin, Jianbing Shen, Chenye Guan, Dingfu Zhou, Ruigang Yang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Channel Attention Based Iterative Residual Learning for Depth Map Super-Resolution.

Xibin Song, Yuchao Dai, Dingfu Zhou, Liu Liu, Wei Li, Hongdong Li, Ruigang Yang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

IAFA: Instance-Aware Feature Aggregation for 3D Object Detection from a Single Image.

Dingfu Zhou, Xibin Song, Yuchao Dai, Junbo Yin, Feixiang Lu, Miao Liao, Jin Fang, Liangjun Zhang

Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

RotPredictor: Unsupervised Canonical Viewpoint Learning for Point Cloud Classification.

Jin Fang, Dingfu Zhou, Xibin Song, Shengze Jin, Ruigang Yang, Liangjun Zhang

Proceedings of the 8th International Conference on 3D Vision, 2020

2019

ApolloCar3D: A Large 3D Car Instance Understanding Benchmark for Autonomous Driving.

Xibin Song, Peng Wang, Dingfu Zhou, Rui Zhu, Chenye Guan, Yuchao Dai, Hao Su, Hongdong Li, Ruigang Yang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

IoU Loss for 2D/3D Object Detection.

Dingfu Zhou, Jin Fang, Xibin Song, Chenye Guan, Junbo Yin, Yuchao Dai, Ruigang Yang

Proceedings of the 2019 International Conference on 3D Vision, 2019

2018

Simulating LIDAR Point Cloud for Autonomous Driving using Real-world Scenes and Traffic Flows.

Jin Fang, Feilong Yan, Tongtong Zhao, Feihu Zhang, Dingfu Zhou, Ruigang Yang, Yu Ma, Liang Wang

CoRR, 2018

RealPoint3D: Point Cloud Generation from a Single Image with Complex Background.

Yan Xia, Yang Zhang, Dingfu Zhou, Xinyu Huang, Cheng Wang, Ruigang Yang

CoRR, 2018

The ApolloScape Dataset for Autonomous Driving.

Xinyu Huang, Xinjing Cheng, Qichuan Geng, Binbin Cao, Dingfu Zhou, Peng Wang, Yuanqing Lin, Ruigang Yang

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017

Moving object detection and segmentation in urban environments from a moving platform.

Dingfu Zhou, Vincent Frémont, Benjamin Quost, Yuchao Dai, Hongdong Li

Image Vis. Comput., 2017

Pixel-variant Local Homography for Fisheye Stereo Rectification Minimizing Resampling Distortion.

Dingfu Zhou, Yuchao Dai, Hongdong Li

CoRR, 2017

Accurate extrinsic calibration between monocular camera and sparse 3D Lidar points without markers.

Zhipeng Xiao, Hongdong Li, Dingfu Zhou, Yuchao Dai, Bin Dai

Proceedings of the IEEE Intelligent Vehicles Symposium, 2017

2016

Reliable scale estimation and correction for monocular Visual Odometry.

Dingfu Zhou, Yuchao Dai, Hongdong Li

Proceedings of the 2016 IEEE Intelligent Vehicles Symposium, 2016

2014

Vision-based moving pedestrian recognition from imprecise and uncertain data. (Reconnaissance de piétons par vision à partir de données imprécises et incertaines).

Dingfu Zhou

PhD thesis, 2014

On modeling ego-motion uncertainty for moving object detection from a mobile platform.

Dingfu Zhou, Vincent Frémont, Benjamin Quost, Bihao Wang

Proceedings of the 2014 IEEE Intelligent Vehicles Symposium Proceedings, 2014

Soft label based semi-supervised boosting for classification and object recognition.

Dingfu Zhou, Benjamin Quost, Vincent Frémont

Proceedings of the 13th International Conference on Control Automation Robotics & Vision, 2014