Jianmin Bao

Computer Vision and Pattern Recognition · 2017–2025

A researcher in the Science corpus: 20 papers; trusts 1,681 researchers and is trusted by 72 researchers here, as inferred from the citation graph.

Subfields

Whom Jianmin Bao trusts overall

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

  1. Kaiming He
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Diederik P. Kingma
  5. Yoshua Bengio
  6. Ross B. Girshick
  7. Ilya Sutskever
  8. Yann LeCun
  9. Karen Simonyan
  10. Christian Szegedy

Who trusts Jianmin Bao overall

  1. Weiwei Cai
  2. Shuyang Gu
  3. Junke Wang
  4. Xiangyu Chen
  5. Salman Hameed Khan
  6. Jianwei Yang
  7. Dongdong Chen
  8. Qianli Ma
  9. Yuda Song
  10. Kaede Shiohara

Papers from Jianmin Bao's perspective

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

Their papers