5 citations · 8 across the 6 of their papers we have counts for
6 papers
Recent Deep Learning in Crowd Behaviour Analysis: A Brief Review
Jiangbei Yue, He Wang
Crowd behaviour analysis is essential to numerous real-world applications, such as public safety and urban planning, and therefore has been studied for decades. In the last decade…
3D Student Splatting and Scooping
Jialin Zhu, Jiangbei Yue, Feixiang He +1
Recently, 3D Gaussian Splatting (3DGS) provides a new framework for novel view synthesis, and has spiked a new wave of research in neural rendering and related applications. As 3DG…
Learning Extremely High Density Crowds as Active Matters
Feixiang He, Jiangbei Yue, Jialin Zhu +4
Video-based high-density crowd analysis and prediction has been a long-standing topic in computer vision. It is notoriously difficult due to, but not limited to, the lack of high-q…
Human Motion Prediction under Unexpected Perturbation
Jiangbei Yue, Baiyi Li, Julien Pettré +2
We investigate a new task in human motion prediction, which is predicting motions under unexpected physical perturbation potentially involving multiple people. Compared with existi…
Human Trajectory Forecasting with Explainable Behavioral Uncertainty
Jiangbei Yue, Dinesh Manocha, He Wang
Human trajectory forecasting helps to understand and predict human behaviors, enabling applications from social robots to self-driving cars, and therefore has been heavily investig…
Human Trajectory Prediction via Neural Social Physics
Jiangbei Yue, Dinesh Manocha, He Wang
Trajectory prediction has been widely pursued in many fields, and many model-based and model-free methods have been explored. The former include rule-based, geometric or optimizati…