Pengfei Zhu

10

Papers

88

Total Citations

Papers (10)

AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot Learning

Visible and Clear: Finding Tiny Objects in Difference Map

Exploring Diverse Representations for Open Set Recognition

Every Node Is Different: Dynamically Fusing Self-Supervised Tasks for Attributed Graph Clustering

Dynamic Sub-graph Distillation for Robust Semi-supervised Continual Learning

Socialized Learning: Making Each Other Better Through Multi-Agent Collaboration

Asymmetric Reinforcing Against Multi-Modal Representation Bias

Bi-directional Adapter for Multimodal Tracking

Task-Customized Mixture of Adapters for General Image Fusion

Decoupled Multi-Predictor Optimization for Inference-Efficient Model Tuning