Tianji Pang

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tianji Pang trusts overall

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

  1. Feiping Nie
  2. Mark J van Rossum
  3. Peter N. Belhumeur
  4. Josh Tenenbaum
  5. Effrosini Kokiopoulou
  6. João Pedra Hespanha
  7. Wei Zhu
  8. Dong Xu
  9. Saul A. Teukolsky
  10. Yoshua Bengio

Papers from Tianji Pang's perspective

Ordered by how strongly the researchers Tianji Pang 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Going deeper with convolutions
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers