Mengyang Zhao

Orcid: 0000-0001-8322-0479

According to our database1, Mengyang Zhao authored at least 27 papers between 2011 and 2023.

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

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Stochastic video normality network for abnormal event detection in surveillance videos.
Knowl. Based Syst., November, 2023

Two-Stage Alignments Framework for Unsupervised Domain Adaptation on Time Series Data.
IEEE Signal Process. Lett., 2023

UAV Wheat Rust Detection based on FasterNet-YOLOv8.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2023

Memory-Augmented Spatial-Temporal Consistency Network for Video Anomaly Detection.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Learning Causality-inspired Representation Consistency for Video Anomaly Detection.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Spatial-Temporal Graph Convolutional Network Boosted Flow-Frame Prediction For Video Anomaly Detection.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Collaborative Normality Learning Framework for Weakly Supervised Video Anomaly Detection.
IEEE Trans. Circuits Syst. II Express Briefs, 2022

Appearance-Motion United Auto-Encoder Framework for Video Anomaly Detection.
IEEE Trans. Circuits Syst. II Express Briefs, 2022

Visual saliency prediction using multi-scale attention gated network.
Multim. Syst., 2022

LGN-Net: Local-Global Normality Network for Video Anomaly Detection.
CoRR, 2022

Exploiting Spatial-temporal Correlations for Video Anomaly Detection.
CoRR, 2022

Compound Figure Separation of Biomedical Images: Mining Large Datasets for Self-supervised Learning.
CoRR, 2022

Multi-level Attention Fusion for Multimodal Driving Maneuver Recognition.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

Exploiting Spatial-temporal Correlations for Video Anomaly Detection.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Learning Appearance-Motion Normality for Video Anomaly Detection.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

GPU-accelerated Faster Mean Shift with euclidean distance metrics.
Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022

2021
Faster Mean-shift: GPU-accelerated clustering for cosine embedding-based cell segmentation and tracking.
Medical Image Anal., 2021

Towards Annotation-free Instance Segmentation and Tracking with Adversarial Simulations.
CoRR, 2021

ASIST: Annotation-free synthetic instance segmentation and tracking by adversarial simulations.
Comput. Biol. Medicine, 2021

VoxelEmbed: 3D Instance Segmentation and Tracking with Voxel Embedding based Deep Learning.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

Compound Figure Separation of Biomedical Images with Side Loss.
Proceedings of the Deep Generative Models, and Data Augmentation, Labelling, and Imperfections, 2021

SimTriplet: Simple Triplet Representation Learning with a Single GPU.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020
ASIST: Annotation-free synthetic instance segmentation and tracking for microscope video analysis.
CoRR, 2020

Faster Mean-shift: GPU-accelerated Embedding-clustering for Cell Segmentation and Tracking.
CoRR, 2020

Cloud Shape Classification System Based on Multi-Channel CNN and Improved FDM.
IEEE Access, 2020

2011
An improved algorithm for corner detection.
Proceedings of the International Conference on Electronic and Mechanical Engineering and Information Technology, 2011

A new algorithm for global optimization based on feedback control system model and Latin squares.
Proceedings of the International Conference on Electronic and Mechanical Engineering and Information Technology, 2011


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