Xiaotong Tu

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xiaotong Tu trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Wenhan Yang
  2. Zhou Wang

Papers from Xiaotong Tu's perspective

Ordered by how strongly the researchers Xiaotong Tu trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Image quality assessment: from error visibility to structural similarity
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. LIME: Low-Light Image Enhancement via Illumination Map Estimation
  9. Gradient-based learning applied to document recognition
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers