Yiqi Jiang

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 37 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Yiqi Jiang trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Geoffrey E. Hinton
  4. Joseph Redmon
  5. X. Zhang
  6. Shaoqing Ren
  7. Chien-Yao Wang
  8. Alex Krizhevsky
  9. Tsung-Yi Lin
  10. Yoshua Bengio

Who trusts Yiqi Jiang overall

  1. Juan R. Terven
  2. Diana-Margarita Córdova-Esparza
  3. Chien-Yao Wang

Papers from Yiqi Jiang's perspective

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

Their papers