Jiabao Wang

Computer Vision and Pattern Recognition · 2021–2022

A researcher in the Science corpus: 3 papers; trusts 266 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Jiabao Wang trusts overall

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

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

Who trusts Jiabao Wang overall

  1. Wentong Li
  2. Di Wang
  3. Xinhao Cai
  4. Muhammad Hussain
  5. Jianke Zhu

Papers from Jiabao Wang's perspective

Ordered by how strongly the researchers Jiabao Wang 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. Going deeper with convolutions
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers