activity
20092021
most citedIntrinsic dimension estimation of data by principal component analysis

23 citations · 43 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2021★ 4 cited

Sliding Sequential CVAE with Time Variant Socially-aware Rethinking for Trajectory Prediction

Hao Zhou, Dongchun Ren, Xu Yang +2

Pedestrian trajectory prediction is a key technology in many applications such as video surveillance, social robot navigation, and autonomous driving, and significant progress has…

cs.RO2020★ 1 cited

An Efficient Generation Method based on Dynamic Curvature of the Reference Curve for Robust Trajectory Planning

Yuchen Sun, Dongchun Ren, Shiqi Lian +2

Trajectory planning is a fundamental task on various autonomous driving platforms, such as social robotics and self-driving cars. Many trajectory planning algorithms use a referenc…

cs.CV2020★ 14 cited

Robust Trajectory Forecasting for Multiple Intelligent Agents in Dynamic Scene

Yanliang Zhu, Dongchun Ren, Mingyu Fan +3

Trajectory forecasting, or trajectory prediction, of multiple interacting agents in dynamic scenes, is an important problem for many applications, such as robotic systems and auton…

cs.CV2010★ 23 cited

Intrinsic dimension estimation of data by principal component analysis

Mingyu Fan, Nannan Gu, Hong Qiao +1

Estimating intrinsic dimensionality of data is a classic problem in pattern recognition and statistics. Principal Component Analysis (PCA) is a powerful tool in discovering dimensi…

cs.LG2009★ 1 cited

Isometric Multi-Manifolds Learning

Mingyu Fan, Hong Qiao, Bo Zhang

Isometric feature mapping (Isomap) is a promising manifold learning method. However, Isomap fails to work on data which distribute on clusters in a single manifold or manifolds. Ma…