Zizhuo Li

Orcid: 0000-0003-0986-4924

According to our database1, Zizhuo Li authored at least 23 papers between 2021 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
MagicFuse: Single Image Fusion for Visual and Semantic Reinforcement.
CoRR, February, 2026

SigMa: Semantic Similarity-Guided Semi-Dense Feature Matching.
IEEE Trans. Image Process., 2026

2025
DeMatch++: Two-View Correspondence Learning via Deep Motion Field Decomposition and Respective Local-Context Aggregation.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2025

DistillMatch: Leveraging Knowledge Distillation from Vision Foundation Model for Multimodal Image Matching.
CoRR, September, 2025

Seed to Prune: A Seeded Graph Neural Network for Two-View Correspondence Learning.
IEEE Trans. Neural Networks Learn. Syst., July, 2025

Deep Learning Reforms Image Matching: A Survey and Outlook.
CoRR, June, 2025

VideoFusion: A Spatio-Temporal Collaborative Network for Mutli-modal Video Fusion and Restoration.
CoRR, March, 2025

Learning Feature Matching via Matchable Keypoint-Assisted Graph Neural Network.
IEEE Trans. Image Process., 2025

CorrNeXt: Making the ConvNet-Style Correspondence Pruner Stronger for Two-View Geometry.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

CoMatch: Dynamic Covisibility-Aware Transformer for Bilateral Subpixel-Level Semi-Dense Image Matching.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

MINIMA: Modality Invariant Image Matching.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Matching While Perceiving: Enhance Image Feature Matching with Applicable Semantic Amalgamation.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

DeMo: Deep Motion Field Consensus with Learnable Kernels for Two-view Correspondence Learning.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
U-Match: Exploring Hierarchy-Aware Local Context for Two-View Correspondence Learning.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

MC-Net: Integrating Multi-Level Geometric Context for Two-View Correspondence Learning.
IEEE Trans. Circuits Syst. Video Technol., August, 2024

A more reliable local-global-guided network for correspondence pruning.
Pattern Recognit. Lett., 2024

DeMatch: Deep Decomposition of Motion Field for Two-View Correspondence Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Loop Closure Detection With Bidirectional Manifold Representation Consensus.
IEEE Trans. Intell. Transp. Syst., April, 2023

Density-Guided Incremental Dominant Instance Exploration for Two-View Geometric Model Fitting.
IEEE Trans. Image Process., 2023

U-Match: Two-view Correspondence Learning with Hierarchy-aware Local Context Aggregation.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022
Guided neighborhood affine subspace embedding for feature matching.
Pattern Recognit., 2022

2021
MRE: A Military Relation Extraction Model Based on BiGRU and Multi-Head Attention.
Symmetry, 2021

Appearance-based Loop Closure Detection via Bidirectional Manifold Representation Consensus.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021


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