Jian Weng

Computer Vision and Pattern Recognition · with Jiang · 2022

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jian Weng trusts overall

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

  1. Guang-Yu Deng
  2. Xiaojie Guo
  3. Yonghua Zhang
  4. Karol Gregor
  5. Yann LeCun
  6. Kaiming He
  7. Geoffrey E. Hinton
  8. Wenhan Yang
  9. Alex Krizhevsky
  10. Jiaying Liu

Papers from Jian Weng's perspective

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

Their papers