Hanqiu Deng

Orcid: 0009-0000-9730-9159

According to our database1, Hanqiu Deng authored at least 18 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
PET-DINO: Unifying Visual Cues into Grounding DINO with Prompt-Enriched Training.
CoRR, April, 2026

AD-Copilot: A Vision-Language Assistant for Industrial Anomaly Detection via Visual In-context Comparison.
CoRR, March, 2026

2025
AnoCLIP: Text-Guided Zero-shot Anomaly Localization via Self-Supervised Adaptation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

MMAD: A Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Medical Open Set Recognition via Intra-Class Clustering.
Proceedings of the International Conference on Cyberworlds, 2025

2024
MMAD: The First-Ever Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection.
CoRR, 2024

Dual-Image Enhanced CLIP for Zero-Shot Anomaly Detection.
CoRR, 2024

FastLogAD: Log Anomaly Detection with Mask-Guided Pseudo Anomaly Generation and Discrimination.
CoRR, 2024

Structural Teacher-Student Normality Learning for Multi-Class Anomaly Detection and Localization.
CoRR, 2024

BMAD: Benchmarks for Medical Anomaly Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
AnoVL: Adapting Vision-Language Models for Unified Zero-shot Anomaly Localization.
CoRR, 2023

Bi-directional Frame Interpolation for Unsupervised Video Anomaly Detection.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Unsupervised Liver Tumor Segmentation with Pseudo Anomaly Synthesis.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2023

Prompt, Generate, Then Cache: Cascade of Foundation Models Makes Strong Few-Shot Learners.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Collaboration of Pre-trained Models Makes Better Few-shot Learner.
CoRR, 2022

Self-supervised Anomaly Detection with Random-shape Pseudo-outliers.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Anomaly Detection via Reverse Distillation from One-Class Embedding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
AI-Empowered Computational Examination of Chest Imaging for COVID-19 Treatment: A Review.
Frontiers Artif. Intell., 2021


  Loading...