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• Dual Graph Convolutional Networks with Transformer and Curriculum Learning for Image Captioning
  2021 · 4 citations
• Dual-Flattening Transformers through Decomposed Row and Column Queries for Semantic Segmentation
  2022 · 3 citations
• Explicitly Increasing Input Information Density for Vision Transformers on Small Datasets
  2022 · 2 citations
• Feature Representation Learning with Adaptive Displacement Generation and Transformer Fusion for Micro-Expression Recognition
  2023 · 2 citations
• Depth-Wise Convolutions in Vision Transformers for Efficient Training on Small Datasets
  2024 · 2 citations
• Adaptively Denoising Proposal Collection for Weakly Supervised Object Localization
  2019 · 1 citations
• SGS-Intrinsic: Semantic-Invariant Gaussian Splatting for Sparse-View Indoor Inverse Rendering
  2026
• Toward Learning a Unified Many-to-Many Mapping for Diverse Image Translation
  2019
• Stacked Wasserstein Autoencoder
  2019
• Disentangled Representation Learning for Controllable Person Image Generation
  2023