Siying Cao

Computer Vision and Pattern Recognition · 2018–2023

A researcher in the Science corpus: 2 papers; trusts 23 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Siying Cao trusts overall

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

  1. Yimian Dai
  2. Kaiming He
  3. Landan Zhang
  4. Tong Zhang
  5. Ross B. Girshick
  6. Yiquan Wu
  7. Tsung-Yi Lin

Who trusts Siying Cao overall

  1. Zhenming Peng

Papers from Siying Cao's perspective

Ordered by how strongly the researchers Siying Cao 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. Gradient-based learning applied to document recognition
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Going deeper with convolutions
  6. ImageNet Large Scale Visual Recognition Challenge
  7. ImageNet: A large-scale hierarchical image database
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers