PPaperPicks

Yixiong Zou

29 papers at tracked venues · 28 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. Connecting the Dots: Training-Free Visual Grounding via Agentic Reasoning
  2. Decoupling Template Bias in CLIP: Harnessing Empty Prompts for Enhanced Few-Shot Learning
  3. Rethinking Graph Generalization through the Lens of Sharpness-Aware Minimization
  4. Start Small, Think Big: Curriculum-based Relative Policy Optimization for Visual Grounding
  5. Adapter Naturally Serves as Decoupler for Cross-Domain Few-Shot Semantic Segmentation
  6. Cross-Category Subjectivity Generalization for Style-Adaptive Sketch Re-ID
  7. EmoSync: Multi-Stage Reasoning with Multimodal Large Language Models for Fine-Grained Emotion Recognition
  8. FlowCut: Rethinking Redundancy via Information Flow for Efficient Vision-Language Models
  9. NTIRE 2025 Challenge on Cross-Domain Few-Shot Object Detection: Methods and Results
  10. Quantifying Distributional Invariance in Causal Subgraph for IRM-Free Graph Generalization
  11. Random Registers for Cross-Domain Few-Shot Learning
  12. Reconstruction Target Matters in Masked Image Modeling for Cross-Domain Few-Shot Learning
  13. Revisiting Continuity of Image Tokens for Cross-domain Few-shot Learning
  14. Revisiting Pool-Based Prompt Learning for Few-Shot Class-Incremental Learning
  15. Self-Disentanglement and Re-Composition for Cross-Domain Few-Shot Segmentation
  16. The Devil is in Low-Level Features for Cross-Domain Few-Shot Segmentation
  17. Unified Category and Style Generalization for Instance-Level Sketch Retrieval
  18. A Closer Look at the CLS Token for Cross-Domain Few-Shot Learning
    NeurIPS 2024 · Yixiong Zou
  19. Attention Temperature Matters in ViT-Based Cross-Domain Few-Shot Learning
    NeurIPS 2024 · Yixiong Zou
  20. Compositional Few-Shot Class-Incremental Learning
    ICML 2024 · Yixiong Zou
  21. Decoupling Representation and Knowledge for Few-Shot Intent Classification and Slot Filling
  22. Delve into Base-Novel Confusion: Redundancy Exploration for Few-Shot Class-Incremental Learning
  23. Dynamic Knowledge Adapter with Probabilistic Calibration for Generalized Few-Shot Semantic Segmentation
  24. Flatten Long-Range Loss Landscapes for Cross-Domain Few-Shot Learning
    CVPR 2024 · Yixiong Zou
  25. Generate Universal Adversarial Perturbations for Few-Shot Learning
  26. Learning Unknowns from Unknowns: Diversified Negative Prototypes Generator for Few-shot Open-Set Recognition
  27. Lightweight Frequency Masker for Cross-Domain Few-Shot Semantic Segmentation
  28. MICM: Rethinking Unsupervised Pretraining for Enhanced Few-shot Learning
  29. Masked Graph Autoencoder with Non-discrete Bandwidths