Siyang Cao

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 29 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Siyang Cao trusts overall

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

  1. Richard Szeliski
  2. Zhengyou Zhang
  3. Kaiming He

Papers from Siyang Cao's perspective

Ordered by how strongly the researchers Siyang 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. Mask R-CNN
  4. Visualizing and Understanding Convolutional Networks
  5. Gradient-based learning applied to document recognition
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Going deeper with convolutions
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Long Short-Term Memory

Their papers