Lujian Yao

Orcid: 0000-0002-7571-1339

According to our database1, Lujian Yao authored at least 21 papers between 2023 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
Orthogonal Decoupling Contrastive Regularization: Toward Uncorrelated Feature Decoupling for Unpaired Image Restoration.
IEEE Trans. Pattern Anal. Mach. Intell., February, 2026

Hyperspectral Smoke Segmentation via Mixture of Prototypes.
CoRR, February, 2026

Revisiting Lightweight Low-Light Image Enhancement: From a YUV Color Space Perspective.
CoRR, January, 2026

Prototype-based scatter learning for smoke segmentation.
Pattern Recognit., 2026

2025
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment.
CoRR, June, 2025

Enhancing Visual Grounding for GUI Agents via Self-Evolutionary Reinforcement Learning.
CoRR, May, 2025

Enhancing Point Cloud Tracking With Spatio-Temporal Triangle Optimization.
IEEE Trans. Instrum. Meas., 2025

Bridging element fragmentation and inter-view discontinuity via directional geometric embeddings for cross-modal map construction.
Knowl. Based Syst., 2025

LGL: Local guide local network for non-homogeneous image dehazing.
Neurocomputing, 2025

PBMA: Enhancing 3D point cloud tracking with Point-to-Box Motion Augmentation.
Expert Syst. Appl., 2025

SE-GUI: Enhancing Visual Grounding for GUI Agents via Self-Evolutionary Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Photography Perspective Composition: Towards Aesthetic Perspective Recommendation.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Dual-Level Prototype Learning for Composite Degraded Image Restoration.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024
DFR-Net: Density Feature Refinement Network for Image Dehazing Utilizing Haze Density Difference.
IEEE Trans. Multim., 2024

Dynamic background reconstruction via masked autoencoders for infrared small target detection.
Eng. Appl. Artif. Intell., 2024

CoSW: Conditional Sample Weighting for Smoke Segmentation with Label Noise.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

DSA: Discriminative Scatter Analysis for Early Smoke Segmentation.
Proceedings of the Computer Vision - ECCV 2024, 2024

ODCR: Orthogonal Decoupling Contrastive Regularization for Unpaired Image Dehazing.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

FoSp: Focus and Separation Network for Early Smoke Segmentation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
CourtNet: Dynamically balance the precision and recall rates in infrared small target detection.
Expert Syst. Appl., December, 2023

Semantic-Consistent Embedding for Zero-Shot Fault Diagnosis.
IEEE Trans. Ind. Informatics, May, 2023


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