13 citations · 16 across the 4 of their papers we have counts for
4 papers
Brain-inspired analogical mixture prototypes for few-shot class-incremental learning
Wanyi Li, Wei Wei, Yongkang Luo +1
Few-shot class-incremental learning (FSCIL) poses significant challenges for artificial neural networks due to the need to efficiently learn from limited data while retaining knowl…
Progressive Transfer Learning for Dexterous In-Hand Manipulation with Multi-Fingered Anthropomorphic Hand
Yongkang Luo, Wanyi Li, Peng Wang +3
Dexterous in-hand manipulation for a multi-fingered anthropomorphic hand is extremely difficult because of the high-dimensional state and action spaces, rich contact patterns betwe…
DVGG: Deep Variational Grasp Generation for Dextrous Manipulation
Wei Wei, Daheng Li, Peng Wang +4
Grasping with anthropomorphic robotic hands involves much more hand-object interactions compared to parallel-jaw grippers. Modeling hand-object interactions is essential to the stu…
Deep Domain Adaptive Object Detection: a Survey
Wanyi Li, Fuyu Li, Yongkang Luo +2
Deep learning (DL) based object detection has achieved great progress. These methods typically assume that large amount of labeled training data is available, and training and test…