Junting Dong

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Junting Dong trusts overall

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

  1. Thiemo Alldieck
  2. Diederik P. Kingma
  3. Gerard Pons-Moll
  4. Jimmy Ba
  5. Bharat Lal Bhatnagar
  6. Christian Theobalt
  7. Hanbyul Joo
  8. Geoffrey E. Hinton
  9. Marcus A. Magnor
  10. John P. Lewis

Papers from Junting Dong's perspective

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

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

Their papers