Zhengxue Wang

Orcid: 0000-0002-4668-2559

According to our database1, Zhengxue Wang authored at least 20 papers between 2021 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Correction: Scene Prior Filtering for Depth Super-Resolution.
Int. J. Comput. Vis., June, 2026

Scene Prior Filtering for Depth Super-Resolution.
Int. J. Comput. Vis., May, 2026

DegBins: Degradation-Driven Binning for Depth Super-Resolution.
CoRR, May, 2026

Height-Guided Projection Reparameterization for Camera-LiDAR Occupancy.
CoRR, May, 2026

PASDiff: Physics-Aware Semantic Guidance for Joint Real-world Low-Light Face Enhancement and Restoration.
CoRR, March, 2026

DegMamba: Mamba-enhanced depth super-resolution with degradation guidance.
Pattern Recognit., 2026

SpatioTemporal Difference Network for Video Depth Super-Resolution.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Diffusion-Based Contextual Reconstruction for Point Cloud Segmentation with Limited Annotations.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Multi-Order Matching Network for Alignment-Free Depth Super-Resolution.
CoRR, November, 2025

Event-Driven Dynamic Scene Depth Completion.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Deep Height Decoupling for Precise Vision-Based 3D Occupancy Prediction.
Proceedings of the IEEE International Conference on Robotics and Automation, 2025

DuCos: Duality Constrained Depth Super-Resolution via Foundation Model.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

DORNet: A Degradation Oriented and Regularized Network for Blind Depth Super-Resolution.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
Degradation Oriented and Regularized Network for Real-World Depth Super-Resolution.
CoRR, 2024

Scene Prior Filtering for Depth Map Super-Resolution.
CoRR, 2024

SGNet: Structure Guided Network via Gradient-Frequency Awareness for Depth Map Super-resolution.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Lightweight Feature De-redundancy and Self-calibration Network for Efficient Image Super-resolution.
ACM Trans. Multim. Comput. Commun. Appl., 2023

2022
Lightweight Bimodal Network for Single-Image Super-Resolution via Symmetric CNN and Recursive Transformer.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021
Lightweight Image Super-Resolution with Multi-Scale Feature Interaction Network.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021


  Loading...