102 citations · 235 across the 8 of their papers we have counts for
8 papers
A deep transfer learning network for structural condition identification with limited real-world training data
Nengxin Bao, Tong Zhang, Ruizhi Huang +3
Structural condition identification based on monitoring data is important for automatic civil infrastructure asset management. Nevertheless, the monitoring data is almost always in…
Hierarchical Dense Correlation Distillation for Few-Shot Segmentation-Extended Abstract
Bohao Peng, Zhuotao Tian, Xiaoyang Wu +4
Few-shot semantic segmentation (FSS) aims to form class-agnostic models segmenting unseen classes with only a handful of annotations. Previous methods limited to the semantic featu…
Temporal Enhanced Training of Multi-view 3D Object Detector via Historical Object Prediction
Zhuofan Zong, Dongzhi Jiang, Guanglu Song +4
In this paper, we propose a new paradigm, named Historical Object Prediction (HoP) for multi-view 3D detection to leverage temporal information more effectively. The HoP approach i…
Hierarchical Dense Correlation Distillation for Few-Shot Segmentation
Bohao Peng, Zhuotao Tian, Xiaoyang Wu +4
Few-shot semantic segmentation (FSS) aims to form class-agnostic models segmenting unseen classes with only a handful of annotations. Previous methods limited to the semantic featu…
Two-person Graph Convolutional Network for Skeleton-based Human Interaction Recognition
Zhengcen Li, Yueran Li, Linlin Tang +2
Graph convolutional networks (GCNs) have been the predominant methods in skeleton-based human action recognition, including human-human interaction recognition. However, when deali…
Elastic Functional Coding of Riemannian Trajectories
Rushil Anirudh, Pavan Turaga, Jingyong Su +1
Visual observations of dynamic phenomena, such as human actions, are often represented as sequences of smoothly-varying features . In cases where the feature spaces can be structur…
Video-Based Action Recognition Using Rate-Invariant Analysis of Covariance Trajectories
Zhengwu Zhang, Jingyong Su, Eric Klassen +2
Statistical classification of actions in videos is mostly performed by extracting relevant features, particularly covariance features, from image frames and studying time series as…
Statistical analysis of trajectories on Riemannian manifolds: Bird migration, hurricane tracking and video surveillance
Jingyong Su, Sebastian Kurtek, Eric Klassen +1
We consider the statistical analysis of trajectories on Riemannian manifolds that are observed under arbitrary temporal evolutions. Past methods rely on cross-sectional analysis, w…