Get started
Author

Bo Yang

ORCID: 0000-0002-4845-6838
Observed ORCID: 0000-0002-4845-6838
OpenAlex ID: A5101701716
A double‐layer crowd evacuation simulation method based on deep reinforcement learning
2024 · Yong Zhang, Bo Yang, et al. · Computer Animation and Virtual Worlds · 7
PTMP: predefined trajectories for multimodal pedestrian trajectory prediction
2025 · Teng Zhang, Bo Yang, et al. · The Visual Computer · 2
METF: Modeling Macro-Micro Human Intention by Multi-Encoder Transformer for Human Trajectory Prediction
2024 · Xincheng Hu, Bo Yang, et al. · IEEE Access · 2
Enhancing Nvshu Recognition Based on Polarity-Aware Linear Attention and Learnable Local Salient Kernel
2026 · Guiren Zhou, Meng Sun, et al. · Lecture notes in computer science · 1
Deciphering the Secret Script: End-to-End Nüshu Spotting with Geometric Topology and Vertical Prior
2026 · Yuxin Peng, Xiao Zhang, et al. · Lecture notes in computer science
VS-DSN: Variable-Speed Dual-Stream Network for Continuous Sign Language Recognition
2026 · Guang Zhou, Bo Yang, et al. · Lecture notes in computer science
Weakly Supervised Video Anomaly Detection via Temporal Dynamic Modeling and Semantic-Assisted Approach
2026 · Zhu Huang, Bo Yang, et al. · Lecture notes in computer science
An Improved Small Object Detection Method for Shuttlecock Activity Analysis
2026 · Xin Ma, Guiren Zhou, et al. · Lecture notes in computer science
Scene-Enhanced Social Interpretable Movement Behavior for Multimodal Pedestrian Trajectory Prediction
2025 · Teng Zhang, Bo Yang, et al. · The Visual Computer
Temporal Fusion Network for Continuous Sign Language Recognition
2025 · Jixing Yang, Bo Yang, et al. · Lecture notes in computer science
A Study of Temporal Contextual Semantic Enhanced Fusion Module for AnomalousVideo Detection
2024 · Yi Zhang, Bo Yang, et al. · Asian Conference on Artificial Intelligence Technology (ACAIT)
Enhancing Continuous Sign Language Recognition via Lightweight Dual-Modal Integration
2024 · Jixing Yang, Bo Yang, et al. · Asian Conference on Artificial Intelligence Technology (ACAIT)
Works count: 12
Citation count: 12
H-index: 2
I10-index:
Year
Topic
Type