Wenbo Zhao

Orcid: 0000-0002-5517-1304

Affiliations:
  • Peng Cheng Laboratory, Shenzhen, China
  • Harbin Institute of Technology, HIT, School of Computer Science and Technology, China (PhD 2020)


According to our database1, Wenbo Zhao authored at least 25 papers between 2015 and 2025.

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

2025
VDEGaussian: Video Diffusion Enhanced 4D Gaussian Splatting for Dynamic Urban Scenes Modeling.
CoRR, August, 2025

FUSE: Label-Free Image-Event Joint Monocular Depth Estimation via Frequency-Decoupled Alignment and Degradation-Robust Fusion.
CoRR, March, 2025

LOD-PCAC: Level-of-Detail-Based Deep Lossless Point Cloud Attribute Compression.
IEEE Trans. Image Process., 2025


Spatial Annealing for Efficient Few-shot Neural Rendering.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Adaptive Stereo Depth Estimation with Multi-Spectral Images Across All Lighting Conditions.
CoRR, 2024

MCGS: Multiview Consistency Enhancement for Sparse-View 3D Gaussian Radiance Fields.
CoRR, 2024

PVContext: Hybrid Context Model for Point Cloud Compression.
CoRR, 2024

DINO-SD: Champion Solution for ICRA 2024 RoboDepth Challenge.
CoRR, 2024

The RoboDrive Challenge: Drive Anytime Anywhere in Any Condition.
CoRR, 2024

Mesh Denoising Transformer.
CoRR, 2024

REPS: Reconstruction-based Point Cloud Sampling.
CoRR, 2024

Context-Adaptive Entropy Model With Adapters For Lossless Point Cloud Geometry Compression.
Proceedings of the IEEE International Conference on Image Processing, 2024



2023
Self-Supervised Arbitrary-Scale Implicit Point Clouds Upsampling.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

2022
Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit Neural Representation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Local Surface Descriptor for Geometry and Feature Preserved Mesh Denoising.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Graph-Based Feature-Preserving Mesh Normal Filtering.
IEEE Trans. Vis. Comput. Graph., 2021

NormalNet: Learning-Based Mesh Normal Denoising via Local Partition Normalization.
IEEE Trans. Circuits Syst. Video Technol., 2021

2019
NormalNet: Learning based Guided Normal Filtering for Mesh Denoising.
CoRR, 2019

2017
Multi-scale Similarity Enhanced Guided Normal Filtering.
Proceedings of the Advances in Multimedia Information Processing - PCM 2017, 2017

Feature-Preserving Mesh Denoising Based on Guided Normal Filtering.
Proceedings of the Advances in Multimedia Information Processing - PCM 2017, 2017

2016
Mesh Denoising with Local Guided Normal Filtering and Non-local Similarity.
Proceedings of the Digital TV and Wireless Multimedia Communication, 2016

2015
Region-of-interest based coding scheme for synthesized video.
Proceedings of the 2015 Visual Communications and Image Processing, 2015


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