PPaperPicks

Pengfei Zhu

Tianjin University, College of Intelligence and Computing, China

27 papers at tracked venues · 25 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. CtrlFuse: Mask-Prompt Guided Controllable Infrared and Visible Image Fusion
  2. Dream-IF: Dynamic Relative EnhAnceMent for Image Fusion
  3. Point Cloud Quantization Through Multimodal Prompting for 3D Understanding
  4. Reconcile Gradient Modulation for Harmony Multimodal Learning
  5. VTD-CLIP: Video-to-Text Discretization via Prompting CLIP
  6. Asymmetric Factorized Bilinear Operation for Vision Transformer
  7. Asymmetric Reinforcing Against Multi-Modal Representation Bias
  8. Decoupled Multi-Predictor Optimization for Inference-Efficient Model Tuning
  9. Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark
  10. Graphs Help Graphs: Multi-Agent Graph Socialized Learning
  11. Hyperbolic-Euclidean Deep Mutual Learning
  12. Motion-Aware Adaptive Pixel Pruning for Efficient Local Motion Deblurring
  13. Multimodal Negative Learning
  14. Socialized Coevolution: Advancing a Better World through Cross-Task Collaboration
  15. Task-Gated Multi-Expert Collaboration Network for Degraded Multi-Modal Image Fusion
  16. AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot Learning
  17. Bi-directional Adapter for Multimodal Tracking
  18. Conditional Controllable Image Fusion
  19. Dynamic Brightness Adaptation for Robust Multi-modal Image Fusion
  20. Dynamic Sub-graph Distillation for Robust Semi-supervised Continual Learning
  21. Every Node Is Different: Dynamically Fusing Self-Supervised Tasks for Attributed Graph Clustering
    AAAI 2024 · Pengfei Zhu
  22. Exploring Diverse Representations for Open Set Recognition
  23. Persistence Homology Distillation for Semi-supervised Continual Learning
  24. Socialized Learning: Making Each Other Better Through Multi-Agent Collaboration
  25. Task-Customized Mixture of Adapters for General Image Fusion
    CVPR 2024 · Pengfei Zhu
  26. Visible and Clear: Finding Tiny Objects in Difference Map
  27. What Matters in Graph Class Incremental Learning? An Information Preservation Perspective