Shuo Wang

Orcid: 0000-0003-4058-6897

Affiliations:
  • Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, China


According to our database1, Shuo Wang authored at least 15 papers between 2020 and 2026.

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

2026
CMIF-Calib: A Novel LiDAR-Camera Extrinsic Calibration System With Cross-Modal Information Fusion.
IEEE Internet Things J., 2026

CompTrack: Information Bottleneck-Guided Low-Rank Dynamic Token Compression for Point Cloud Tracking.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
NeRF dynamic scene reconstruction based on motion, semantic information and inpainting.
Neurocomputing, 2025

2024
MSF-SLAM: Multi-Sensor-Fusion-Based Simultaneous Localization and Mapping for Complex Dynamic Environments.
IEEE Trans. Intell. Transp. Syst., December, 2024

Deep Neighbor Layer Aggregation for Lightweight Self-Supervised Monocular Depth Estimation.
Proceedings of the IEEE International Conference on Acoustics, 2024

2021
CFNet: LiDAR-Camera Registration Using Calibration Flow Network.
Sensors, 2021

An advanced gradient texture feature descriptor based on phase information for infrared and visible image matching.
Multim. Tools Appl., 2021

CFNet: LiDAR-Camera Registration Using Calibration Flow Network.
CoRR, 2021

High-quality Low-dose CT Reconstruction Using Convolutional Neural Networks with Spatial and Channel Squeeze and Excitation.
CoRR, 2021

LCCNet: LiDAR and Camera Self-Calibration Using Cost Volume Network.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
Image-matching framework based on region partitioning for target image location.
Telecommun. Syst., 2020

Lidar and Camera Self-Calibration using CostVolume Network.
CoRR, 2020

Semantic Flow-guided Motion Removal Method for Robust Mapping.
CoRR, 2020

Coarse Semantic-Based Motion Removal for Robust Mapping in Dynamic Environments.
IEEE Access, 2020

Compressed Holistic ConvNet Representations for Detecting Loop Closures in Dynamic Environments.
IEEE Access, 2020


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