Terrence Chen

Computer Vision and Pattern Recognition · 2006–2022

A researcher in the Science corpus: 5 papers; trusts 228 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Terrence Chen trusts overall

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

  1. Tony F. Chan
  2. Ravi Ramamoorthi
  3. Geoffrey E. Hinton
  4. Dorin Comaniciu
  5. Alex Krizhevsky
  6. Matthew A. Turk
  7. Carlo Tomasi
  8. Ronen Basri
  9. David M. Strong
  10. Ross B. Girshick

Who trusts Terrence Chen overall

  1. Xiaoyang Tan
  2. Taiping Zhang

Papers from Terrence Chen's perspective

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

Their papers