Dingfu Zhou

Orcid: 0000-0003-3412-3984

According to our database1, Dingfu Zhou authored at least 46 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
LiDAR-CS Dataset: LiDAR Point Cloud Dataset with Cross-Sensors for 3D Object Detection.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023
Digging Into Uncertainty-Based Pseudo-Label for Robust Stereo Matching.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Distilling ensemble of explanations for weakly-supervised pre-training of image segmentation models.
Mach. Learn., June, 2023

WSAMF-Net: Wavelet Spatial Attention-Based MultiStream Feedback Network for Single Image Dehazing.
IEEE Trans. Circuits Syst. Video Technol., February, 2023

TUSR-Net: Triple Unfolding Single Image Dehazing With Self-Regularization and Dual Feature to Pixel Attention.
IEEE Trans. Image Process., 2023

LiDAR-CS Dataset: LiDAR Point Cloud Dataset with Cross-Sensors for 3D Object Detection.
CoRR, 2023

2022
WAFP-Net: Weighted Attention Fusion Based Progressive Residual Learning for Depth Map Super-Resolution.
IEEE Trans. Multim., 2022

Context-Aware 3D Object Detection From a Single Image in Autonomous Driving.
IEEE Trans. Intell. Transp. Syst., 2022

A Spatio-Temporal Neural Network for Fine-Scale Wind Field Nowcasting Based on Lidar Observation.
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.
Sensors, 2022

Self-supervised rigid transformation equivariance for accurate 3D point cloud registration.
Pattern Recognit., 2022

A Representation Separation Perspective to Correspondence-Free Unsupervised 3-D Point Cloud Registration.
IEEE Geosci. Remote. Sens. Lett., 2022

Multi-Sem Fusion: Multimodal Semantic Fusion for 3D Object Detection.
CoRR, 2022

A Representation Separation Perspective to Correspondences-free Unsupervised 3D Point Cloud Registration.
CoRR, 2022

ProposalContrast: Unsupervised Pre-training for LiDAR-Based 3D Object Detection.
Proceedings of the Computer Vision - ECCV 2022, 2022

Semi-supervised 3D Object Detection with Proficient Teachers.
Proceedings of the Computer Vision - ECCV 2022, 2022

PCW-Net: Pyramid Combination and Warping Cost Volume for Stereo Matching.
Proceedings of the Computer Vision - ECCV 2022, 2022

End-to-End Learning the Partial Permutation Matrix for Robust 3D Point Cloud Registration.
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.
IEEE Trans. Image Process., 2021

FusionPainting: Multimodal Fusion with Adaptive Attention for 3D Object Detection.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

MapFusion: A General Framework for 3D Object Detection with HDMaps.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

AutoShape: Real-Time Shape-Aware Monocular 3D Object Detection.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

LiDAR-Aug: A General Rendering-Based Augmentation Framework for 3D Object Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Ground-Plane-Based Absolute Scale Estimation for Monocular Visual Odometry.
IEEE Trans. Intell. Transp. Syst., 2020

Augmented LiDAR Simulator for Autonomous Driving.
IEEE Robotics Autom. Lett., 2020

The ApolloScape Open Dataset for Autonomous Driving and Its Application.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

PerMO: Perceiving More at Once from a Single Image for Autonomous Driving.
CoRR, 2020

Learning 2D-3D Correspondences To Solve The Blind Perspective-n-Point Problem.
CoRR, 2020

DVI: Depth Guided Video Inpainting for Autonomous Driving.
Proceedings of the Computer Vision - ECCV 2020, 2020

Joint 3D Instance Segmentation and Object Detection for Autonomous Driving.
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.
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.
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.
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.
Proceedings of the 8th International Conference on 3D Vision, 2020

2019
ApolloCar3D: A Large 3D Car Instance Understanding Benchmark for Autonomous Driving.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

IoU Loss for 2D/3D Object Detection.
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.
CoRR, 2018

RealPoint3D: Point Cloud Generation from a Single Image with Complex Background.
CoRR, 2018

The ApolloScape Dataset for Autonomous Driving.
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.
Image Vis. Comput., 2017

Pixel-variant Local Homography for Fisheye Stereo Rectification Minimizing Resampling Distortion.
CoRR, 2017

Accurate extrinsic calibration between monocular camera and sparse 3D Lidar points without markers.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2017

2016
Reliable scale estimation and correction for monocular Visual Odometry.
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).
PhD thesis, 2014

On modeling ego-motion uncertainty for moving object detection from a mobile platform.
Proceedings of the 2014 IEEE Intelligent Vehicles Symposium Proceedings, 2014

Soft label based semi-supervised boosting for classification and object recognition.
Proceedings of the 13th International Conference on Control Automation Robotics & Vision, 2014


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