Yue Lu

Orcid: 0000-0002-9805-1732

Affiliations:
  • Northwestern Polytechnical University, National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, ASGO, School of Computer Science, Xi'an, China
  • Beijing Information Science and Technology University, School of Automation, China (former)


According to our database1, Yue Lu authored at least 16 papers between 2021 and 2026.

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

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2026
Nearest-neighbor class prototype prompt and simulated logits for continual learning.
Pattern Recognit., 2026

2025
Scene-Dependent Prediction in Latent Space for Video Anomaly Detection and Anticipation.
IEEE Trans. Pattern Anal. Mach. Intell., January, 2025

Frequency-Guided Spatial Adaptation for Camouflaged Object Detection.
IEEE Trans. Multim., 2025

Training Consistent Mixture-of-Experts-Based Prompt Generator for Continual Learning.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Co-Occurrence Matters: Learning Action Relation for Temporal Action Localization.
IEEE Trans. Circuits Syst. Video Technol., May, 2024

Context Recovery and Knowledge Retrieval: A Novel Two-Stream Framework for Video Anomaly Detection.
IEEE Trans. Image Process., 2024

Mamba-CL: Optimizing Selective State Space Model in Null Space for Continual Learning.
CoRR, 2024

Visual Prompt Tuning in Null Space for Continual Learning.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023
Learnable Locality-Sensitive Hashing for Video Anomaly Detection.
IEEE Trans. Circuits Syst. Video Technol., February, 2023

Efficient spatiotemporal context modeling for action recognition.
Neurocomputing, 2023

Zero-Shot Object Goal Visual Navigation With Class-Independent Relationship Network.
CoRR, 2023

Co-Occurrence Matters: Learning Action Relation for Temporal Action Localization.
CoRR, 2023

A New Comprehensive Benchmark for Semi-supervised Video Anomaly Detection and Anticipation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Self-attention mechanism in person re-identification models.
Multim. Tools Appl., 2022

2021
Learnable Locality-Sensitive Hashing for Video Anomaly Detection.
CoRR, 2021

Efficient Spatialtemporal Context Modeling for Action Recognition.
CoRR, 2021


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