Zeren Jiang

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Zeren Jiang trusts overall

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

  1. Ross B. Girshick
  2. Kaiming He
  3. Joseph Redmon
  4. Shaoqing Ren
  5. Geoffrey E. Hinton
  6. Tsung-Yi Lin
  7. Alex Krizhevsky
  8. Yoshua Bengio
  9. Yann LeCun
  10. Piotr Doll'ar

Papers from Zeren Jiang's perspective

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

Their papers