Shanle Yao

According to our database, Shanle Yao authored at least 14 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Toward Adaptive Human-Centric Video Anomaly Detection: A Comprehensive Framework and a New Benchmark.

Armin Danesh Pazho, Shanle Yao, Ghazal Alinezhad Noghre, Babak Rahimi Ardabili, Vinit Katariya, Hamed Tabkhi

IEEE Trans. Circuits Syst. Video Technol., April, 2026

From Frames to Events: Rethinking Evaluation in Human-Centric Video Anomaly Detection.

Narges Rashvand, Shanle Yao, Armin Danesh Pazho, Babak Rahimi Ardabili, Hamed Tabkhi

CoRR, April, 2026

Are Multimodal LLMs Ready for Surveillance? A Reality Check on Zero-Shot Anomaly Detection in the Wild.

Shanle Yao, Armin Danesh Pazho, Narges Rashvand, Hamed Tabkhi

CoRR, March, 2026

From Offline to Periodic Adaptation for Pose-Based Shoplifting Detection in Real-World Retail Security.

Shanle Yao, Narges Rashvand, Armin Danesh Pazho, Hamed Tabkhi

IEEE Internet Things J., 2026

2025

ALFred: An Active Learning Framework for Real-world Semi-supervised Anomaly Detection with Adaptive Thresholds.

Shanle Yao, Ghazal Alinezhad Noghre, Armin Danesh Pazho, Hamed Tabkhi

CoRR, August, 2025

From lab to field: Real-world evaluation of an AI-driven Smart Video Solution to enhance community safety.

Shanle Yao, Babak Rahimi Ardabili, Armin Danesh Pazho, Ghazal Alinezhad Noghre, Christopher Neff, Lauren Bourque, Hamed Tabkhi

Internet Things, 2025

Exploring Pose-Based Anomaly Detection for Retail Security: A Real-World Shoplifting Dataset and Benchmark.

Narges Rashvand, Ghazal Alinezhad Noghre, Armin Danesh Pazho, Shanle Yao, Hamed Tabkhi

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

2024

PHEVA: A Privacy-preserving Human-centric Video Anomaly Detection Dataset.

Ghazal Alinezhad Noghre, Shanle Yao, Armin Danesh Pazho, Babak Rahimi Ardabili, Vinit Katariya, Hamed Tabkhi

CoRR, 2024

Evaluating the Effectiveness of Video Anomaly Detection in the Wild Online Learning and Inference for Real-world Deployment.

Shanle Yao, Ghazal Alinezhad Noghre, Armin Danesh Pazho, Hamed Tabkhi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Ancilia: Scalable Intelligent Video Surveillance for the Artificial Intelligence of Things.

Armin Danesh Pazho, Christopher Neff, Ghazal Alinezhad Noghre, Babak Rahimi Ardabili, Shanle Yao, Mohammadreza Baharani, Hamed Tabkhi

IEEE Internet Things J., September, 2023

Enhancing Situational Awareness in Surveillance: Leveraging Data Visualization Techniques for Machine Learning-based Video Analytics Outcomes.

Babak Rahimi Ardabili, Shanle Yao, Armin Danesh Pazho, Lauren Bourque, Hamed Tabkhi

CoRR, 2023

Integrating AI into CCTV Systems: A Comprehensive Evaluation of Smart Video Surveillance in Community Space.

Shanle Yao, Babak Rahimi Ardabili, Armin Danesh Pazho, Ghazal Alinezhad Noghre, Christopher Neff, Hamed Tabkhi

CoRR, 2023

Real-World Community-in-the-Loop Smart Video Surveillance - A Case Study at a Community College.

Shanle Yao, Babak Rahimi Ardabili, Armin Danesh Pazho, Ghazal Alinezhad Noghre, Christopher Neff, Hamed Tabkhi

CoRR, 2023

Real-World Community-in-the-Loop Smart Video Surveillance System.

Shanle Yao, Babak Rahimi Ardabili, Armin Danesh Pazho, Ghazal Alinezhad Noghre, Christopher Neff, Hamed Tabkhi

Proceedings of the 2023 IEEE International Conference on Smart Computing, 2023