Menghao Zhang
Orcid: 0000-0001-9713-9938Affiliations:
- Beijing University of Posts and Telecommunications, State Key Laboratory of Networking and Switching Technology, China
According to our database1,
Menghao Zhang authored at least 13 papers
between 2023 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2026
Enhancing MLLMs for Online Understanding in Video Services via Preference Optimization.
IEEE Trans. Serv. Comput., 2026
VALU: A Benchmark for Video Anomaly Temporal Localization and Understanding at Multiple Semantic Levels.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026
2025
Do LVLMs Truly Understand Video Anomalies? Revealing Hallucination via Co-Occurrence Patterns.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025
Proceedings of the 33rd ACM International Conference on Multimedia, 2025
Masked Self-Supervised Learning and Semantic Noise Separation for Video Anomaly Detection.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2025
Prior-Aware Dynamic Temporal Modeling Framework for Sequential 3D Hand Pose Estimation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025
2024
IEEE Trans. Serv. Comput., 2024
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Enhanced Anomaly Detection in Dashcam Videos: Dual GAN Approach with Swin-Unet for Optical Flow and Region of Interest Analysis.
Proceedings of the International Joint Conference on Neural Networks, 2024
Safeguarding Sustainable Cities: Unsupervised Video Anomaly Detection through Diffusion-based Latent Pattern Learning.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Multi-Scale Video Anomaly Detection by Multi-Grained Spatio-Temporal Representation Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the Findings of the Association for Computational Linguistics, 2024
2023
Robust Video Anomaly Detection Framework via Prior Knowledge and Multi-Path Frame Prediction.
Proceedings of the IEEE International Conference on Acoustics, 2023