Kaixuan Wang

Computer Vision and Pattern Recognition · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2023–2024

A researcher in the Science corpus: 3 papers; trusts 210 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kaixuan Wang trusts overall

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

  1. René Ranftl
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Alex Krizhevsky
  5. Diederik P. Kingma
  6. Jia Deng
  7. Andreas Geiger
  8. Ross B. Girshick
  9. Yoshua Bengio
  10. Yann LeCun

Papers from Kaixuan Wang's perspective

Ordered by how strongly the researchers Kaixuan Wang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  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. ImageNet Large Scale Visual Recognition Challenge
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Long Short-Term Memory
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers