Tianchang Shen

Computer Vision and Pattern Recognition · 2021–2025

A researcher in the Science corpus: 4 papers; trusts 147 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Tianchang Shen trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Alex Krizhevsky
  5. Yoshua Bengio
  6. Zhiqin Chen
  7. Yann LeCun
  8. Ross B. Girshick
  9. Andreas Geiger
  10. Shunsuke Saito

Who trusts Tianchang Shen overall

  1. Gal Metzer
  2. Elad Richardson
  3. Jun Gao
  4. Rui Chen
  5. Zhiqin Chen
  6. Chen-Hsuan Lin
  7. Peng Wang
  8. Taoran Yi
  9. Yichun Shi
  10. Yixun Liang

Papers from Tianchang Shen's perspective

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

Their papers