Temporal Action Detection (TAD) in untrimmed videos requires effective spatial feature extraction for precise action classification and temporal feature modeling for accurate boundary localization. To achieve effective spatio-temporal feature integration, several works manually design rule-based (i.e., sequential or pa...
Yi Tang, Man-Sen Chen, Lepeng Chen et al.· IEEE Transactions on Image P...· 0 citations
Point cloud registration is crucial in real-world applications such as robotics and automation. While deep learning-based methods have made substantial progress in this domain, their generalization remains limited in heterogeneous environments. This limitation primarily arises from their strong reliance on domain-speci...
Jing-Yu Zhou, Yun-Feng Ma, Shuai Jiang et al.· IEEE Transactions on Automat...· 0 citations
Accurately steering a robot to a target configuration is fundamental in engineering, yet remains challenging for nonholonomic mobile robots. Vector fields (VFs) provide a natural framework by specifying desired motion directions throughout the workspace and enabling direct integration with feedback control. However, mo...
Zhou-Ru Xiao, Sha Luo, Yang Lu et al.· arXiv.org· 0 citations
This work proposes a hyperbolic learning-based approach to address 3D scene graph generation by leveraging hyperbolic geometry to learn hierarchical 3D scene representations in the form of scene-region-instance, where the scene represents the complete 3D environment, a region contains related instances, and an instance...
Hao-Ran Hou, Ming-Tao Feng, Qing Zhu et al.· IEEE Transactions on Pattern...· 0 citations
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