Jiadai Sun

Orcid: 0000-0001-9593-0873

According to our database1, Jiadai Sun authored at least 19 papers between 2020 and 2024.

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

Timeline

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Links

On csauthors.net:

Bibliography

2024
Joint Scene Flow Estimation and Moving Object Segmentation on Rotational LiDAR Data.
IEEE Trans. Intell. Transp. Syst., November, 2024

VisualAgentBench: Towards Large Multimodal Models as Visual Foundation Agents.
CoRR, 2024

ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools.
CoRR, 2024

2023
MUNet: Motion uncertainty-aware semi-supervised video object segmentation.
Pattern Recognit., June, 2023

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

Digging into Depth Priors for Outdoor Neural Radiance Fields.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

MapNeRF: Incorporating Map Priors into Neural Radiance Fields for Driving View Simulation.
IROS, 2023

Forward Flow for Novel View Synthesis of Dynamic Scenes.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
VRNet: Learning the Rectified Virtual Corresponding Points for 3D Point Cloud Registration.
IEEE Trans. Circuits Syst. Video Technol., 2022

Learning a Task-Specific Descriptor for Robust Matching of 3D Point Clouds.
IEEE Trans. Circuits Syst. Video Technol., 2022

Searching Dense Point Correspondences via Permutation Matrix Learning.
IEEE Signal Process. Lett., 2022

CU-Net: LiDAR Depth-Only Completion With Coupled U-Net.
IEEE Robotics Autom. Lett., 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

Efficient Spatial-Temporal Information Fusion for LiDAR-Based 3D Moving Object Segmentation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Neural Deformable Voxel Grid for Fast Optimization of Dynamic View Synthesis.
Proceedings of the Computer Vision - ACCV 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

2020
Deep learning based point cloud registration: an overview.
Virtual Real. Intell. Hardw., 2020


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