PPaperPicks

Shengwu Xiong

Qiongtai Normal University, School of Information Science and Technology, Hainan, China

20 papers at tracked venues · 15 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. Driving with Advice: Large Model as Motion Advisor for Joint Planning
  2. Multi-Modal Representation for Spatially Resolved Transcriptomics Based on Global Correlation and Dynamic Cluster Discovery
  3. ProPL: Universal Semi-Supervised Ultrasound Image Segmentation via Prompt-Guided Pseudo-Labeling
  4. All Parts Matter: A Unified Mask-Free Virtual Try-On Framework
  5. Balancing Conservatism and Aggressiveness: Prototype-Affinity Hybrid Network for Few-Shot Segmentation
  6. GarFast: Realistic and Fast Garment Transfer with a Simplified Parser-Free Approach
  7. Latent Diffusion-Enhanced Virtual Try-On via Optimized Pseudo-Label Generation
  8. MAP: Parameter-Efficient Tuning for Referring Expression Comprehension via Multi-Modal Adaptive Positional Encoding
  9. MARS2 2025 Challenge on Multimodal Reasoning: Datasets, Methods, Results, Discussion, and Outlook
  10. Mask Does Not Matter: A Unified Latent Diffusion-Enhanced Framework for Mask-Free Virtual Try-On
  11. Mitigating Occlusions in Virtual Try-On via A Simple-Yet-Effective Mask-Free Framework
  12. RealisID: Scale-Robust and Fine-Controllable Identity Customization via Local and Global Complementation
  13. CausalCLIPSeg: Unlocking CLIP's Potential in Referring Medical Image Segmentation with Causal Intervention
  14. Content-Style Decoupling for Unsupervised Makeup Transfer without Generating Pseudo Ground Truth
  15. CycleVTON: A Cycle Mapping Framework for Parser-Free Virtual Try-On
  16. One-Shot Medical Video Object Segmentation via Temporal Contrastive Memory Networks
  17. SHMT: Self-supervised Hierarchical Makeup Transfer via Latent Diffusion Models
  18. Striving for Simplicity: Simple Yet Effective Prior-Aware Pseudo-labeling for Semi-supervised Ultrasound Image Segmentation
  19. UniCrossAdapter: Multimodal Adaptation of CLIP for Radiology Report Generation
  20. Visual Grounding with Multi-modal Conditional Adaptation