Chuanmin Jia

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Chuanmin Jia trusts overall

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

  1. Johannes Ballé
  2. Yann LeCun
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Gregory K. Wallace
  6. Solomon W. Golomb
  7. David E. Rumelhart
  8. Radford M. Neal
  9. David C. Minnen
  10. Kaiming He

Papers from Chuanmin Jia's perspective

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

  1. Gradient-based learning applied to document recognition
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Long Short-Term Memory
  4. ImageNet classification with deep convolutional neural networks
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers