Feitong Tan

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 41 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Feitong Tan trusts overall

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

  1. Yasutaka Furukawa
  2. Jure Zbontar

Papers from Feitong Tan's perspective

Ordered by how strongly the researchers Feitong Tan 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. A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Distinctive Image Features from Scale-Invariant Keypoints
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers