Bihan Wen

Computer Vision and Pattern Recognition · International Joint Conference on Artificial Intelligence · 2016–2023

A researcher in the Science corpus: 5 papers; trusts 432 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Bihan Wen trusts overall

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

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

Who trusts Bihan Wen overall

  1. Yawei Li
  2. Yue Wu
  3. Haokui Zhang
  4. Peng Zhou
  5. Kai Zhang
  6. Jingyun Liang
  7. Chengbo Dong
  8. Xuefeng Hu
  9. Yulun Zhang
  10. Xiangyu Chen

Papers from Bihan Wen's perspective

Ordered by how strongly the researchers Bihan Wen 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. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers