Xizhan Gao

Spatial-Semantic Attention Network With Adaptive Similarity Perception and Memory for Efficient Zero-Shot Object-Goal Visual Navigation.

This article investigates efficient zero-shot object-goal visual navigation, where an agent localizes unseen targets in novel environments using only visual observations and target representations. Existing methods suffer from an inability to establish a unified visual representation, leading to complex and inefficient...

Spatio-temporal local graph convolutional network for skeleton-based action recognition

Few-Shot Video Recognition via Hierarchical Metric Learning

Few-shot action recognition (FSAR) aims to recognize unseen action categories with only a small number of annotated video samples. Recent works typically apply single-prototype supervision at the network output and fail to sufficiently exploit rich cross-frame global spatial information in videos. Even existing multi-l...