Ruixiang Zhang

Computer Vision and Pattern Recognition · with Guo · 2021

A researcher in the Science corpus: 1 paper; trusts 196 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ruixiang Zhang trusts overall

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

  1. Ross B. Girshick
  2. Kaiming He
  3. Tsung-Yi Lin
  4. Karen Simonyan
  5. Shaoqing Ren
  6. Alex Krizhevsky
  7. Geoffrey E. Hinton
  8. Andrew Zisserman
  9. Yann LeCun
  10. Yoshua Bengio

Papers from Ruixiang Zhang's perspective

Ordered by how strongly the researchers Ruixiang Zhang 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Long Short-Term Memory
  10. Microsoft COCO: Common Objects in Context

Their papers