Xincheng Yao

According to our database1, Xincheng Yao authored at least 20 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
ResAD++: Towards Class Agnostic Anomaly Detection via Residual Feature Learning.
Int. J. Comput. Vis., June, 2026

HTPO: Towards Exploration-Exploitation Balanced Policy Optimization via Hierarchical Token-level Objective Control.
CoRR, May, 2026

MMR-AD: A Large-Scale Multimodal Dataset for Benchmarking General Anomaly Detection with Multimodal Large Language Models.
CoRR, April, 2026

2025
HRVVS: A High-resolution Video Vasculature Segmentation Network via Hierarchical Autoregressive Residual Priors.
CoRR, July, 2025

Beyond Label Semantics: Language-Guided Action Anatomy for Few-shot Action Recognition.
CoRR, July, 2025

ADPretrain: Advancing Industrial Anomaly Detection via Anomaly Representation Pretraining.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

HRVVS: A High-Resolution Video Vasculature Segmentation Network via Hierarchical Autoregressive Residual Priors.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Beyond Label Semantics:Language-Guided Action Anatomy for Few-Shot Action Recognition.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024
IRAD: Input-Reference Joint Driven Reconstruction for Unified Anomaly Detection.
Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2024

Enhanced Anomaly Detection Using Spatial-Alignment and Multi-scale Fusion.
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

ResAD: A Simple Framework for Class Generalizable Anomaly Detection.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Hierarchical Gaussian Mixture Normalizing Flow Modeling for Unified Anomaly Detection.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
CKT: Cross-Image Knowledge Transfer for Texture Anomaly Detection.
Proceedings of the IEEE International Conference on Image Processing, 2023

Focus the Discrepancy: Intra- and Inter-Correlation Learning for Image Anomaly Detection.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomaly Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

One-for-All: Proposal Masked Cross-Class Anomaly Detection.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
A portable widefield fundus camera with high dynamic range imaging capability.
CoRR, 2022

Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Better Anomaly Detection.
CoRR, 2022

ADC-Net: An Open-Source Deep Learning Network for Automated Dispersion Compensation in Optical Coherence Tomography.
CoRR, 2022

2021
Multi-Scale Feature Distillation for Anomaly Detection.
Proceedings of the 27th International Conference on Mechatronics and Machine Vision in Practice, 2021


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