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Rui Sun

University of Science and Technology of China, Hefei, China

19 papers at tracked venues · 16 at CORE A* · active 20242025

Venues

Frequent coauthors

Papers

  1. Alleviate and Mining: Rethinking Unsupervised Domain Adaptation for Mitochondria Segmentation from Pseudo-Label Perspective
  2. Balanced Learning for Domain Adaptive Semantic Segmentation
  3. Beyond Confidence: Exploiting Homogeneous Pattern for Semi-Supervised Semantic Segmentation
    ICML 2025 · Rui Sun
  4. BeyondMix: Leveraging Structural Priors and Long-Range Dependencies for Domain-Invariant LiDAR Segmentation
  5. Exploring Weather-aware Aggregation and Adaptation for Semantic Segmentation under Adverse Conditions
  6. Focus on the Object: Gradient-based Feature Modulation for Camouflaged Object Segmentation
  7. Relaxed Class-consensus Consistency for Semi-supervised Semantic Segmentation
  8. Towards Robust Pseudo-Label Learning in Semantic Segmentation: An Encoding Perspective
  9. Towards Unbiased Learning in Semi-Supervised Semantic Segmentation
    ICLR 2025 · Rui Sun
  10. Towards Unsupervised Domain Bridging via Image Degradation in Semantic Segmentation
  11. Two Losses, One Goal: Balancing Conflict Gradients for Semi-Supervised Semantic Segmentation
    ICCV 2025 · Rui Sun
  12. Electron Microscopy Images as Set of Fragments for Mitochondrial Segmentation
  13. Exploring Reliable Matching with Phase Enhancement for Night-Time Semantic Segmentation
  14. Image-to-Image Matching via Foundation Models: A New Perspective for Open-Vocabulary Semantic Segmentation
  15. Localization and Expansion: A Decoupled Framework for Point Cloud Few-Shot Semantic Segmentation
  16. Pay Attention to Target: Relation-Aware Temporal Consistency for Domain Adaptive Video Semantic Segmentation
  17. RankMatch: Exploring the Better Consistency Regularization for Semi-Supervised Semantic Segmentation
  18. Rethinking the Implicit Optimization Paradigm with Dual Alignments for Referring Remote Sensing Image Segmentation
  19. SAM-Glomeruli: Enhanced Segment Anything Model for Precise Glomeruli Segmentation