Xibin Song

Orcid: 0000-0001-7019-6238

According to our database1, Xibin Song authored at least 37 papers between 2014 and 2023.

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

Timeline

Legend:

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Bibliography

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

MFF-Net: Towards Efficient Monocular Depth Completion With Multi-Modal Feature Fusion.
IEEE Robotics Autom. Lett., 2023

RGB-based Category-level Object Pose Estimation via Decoupled Metric Scale Recovery.
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

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

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

An autonomous excavator system for material loading tasks.
Sci. Robotics, 2021

Optimization-Based Framework for Excavation Trajectory Generation.
IEEE Robotics Autom. Lett., 2021

Chicken Image Segmentation via Multi-Scale Attention-Based Deep Convolutional Neural Network.
IEEE Access, 2021

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

Self-supervised Monocular Depth Estimation for All Day Images using Domain Separation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

FCFR-Net: Feature Fusion based Coarse-to-Fine Residual Learning for Depth Completion.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
FCFR-Net: Feature Fusion based Coarse-to-Fine Residual Learning for Monocular Depth Completion.
CoRR, 2020

AES: Autonomous Excavator System for Real-World and Hazardous Environments.
CoRR, 2020

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

Time Variable Minimum Torque Trajectory Optimization for Autonomous Excavator.
CoRR, 2020

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

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
Deeply Supervised Depth Map Super-Resolution as Novel View Synthesis.
IEEE Trans. Circuits Syst. Video Technol., 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
Modeling deviations of rgb-d cameras for accurate depth map and color image registration.
Multim. Tools Appl., 2018

2017

2016
Edge-guided depth map enhancement.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Deep Depth Super-Resolution: Learning Depth Super-Resolution Using Deep Convolutional Neural Network.
Proceedings of the Computer Vision - ACCV 2016, 2016

2014
Estimation of Kinect depth confidence through self-training.
Vis. Comput., 2014


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