Part-aware Prototypical Graph Network for One-shot Skeleton-based Action Recognition

no code implementations • 19 Aug 2022 • Tailin Chen, Desen Zhou, Jian Wang, Shidong Wang, Qian He, Chuanyang Hu, Errui Ding, Yu Guan, Xuming He

In this paper, we study the problem of one-shot skeleton-based action recognition, which poses unique challenges in learning transferable representation from base classes to novel classes, particularly for fine-grained actions.

Action Recognition Meta-Learning +1

Mutual Information-guided Knowledge Transfer for Novel Class Discovery

no code implementations • 24 Jun 2022 • Chuyu Zhang, Chuanyang Hu, Ruijie Xu, Zhitong Gao, Qian He, Xuming He

Our insight is to utilize mutual information to measure the relation between seen classes and unseen classes in a restricted label space and maximizing mutual information promotes transferring semantic knowledge.

Novel Class Discovery Transfer Learning

Intention-aware Feature Propagation Network for Interactive Segmentation

no code implementations • 10 Mar 2022 • Chuyu Zhang, Chuanyang Hu, Yongfei Liu, Xuming He

We aim to tackle the problem of point-based interactive segmentation, in which two key challenges are to infer user's intention correctly and to propagate the user-provided annotations to unlabeled regions efficiently.

Interactive Segmentation