Xiangbo Shu

8

Papers

37

Total Citations

Papers (8)

Learning Clustering-based Prototypes for Compositional Zero-Shot Learning

Kernel-Aware Graph Prompt Learning for Few-Shot Anomaly Detection

Seeing What Matters: Empowering CLIP with Patch Generation-to-Selection

Cycle-Consistent Learning for Joint Layout-to-Image Generation and Object Detection

Tensor-aggregated LoRA in Federated Fine-tuning

CA2C: A Prior-Knowledge-Free Approach for Robust Label Noise Learning via Asymmetric Co-learning and Co-training

3D-aware Select, Expand, and Squeeze Token for Aerial Action Recognition

Exploiting Frequency Dynamics for Enhanced Multimodal Event-based Action Recognition