Tianheng Cheng

Computer Vision and Pattern Recognition · 2019–2024

A researcher in the Science corpus: 6 papers; trusts 687 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Tianheng Cheng trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Alex Krizhevsky
  4. Geoffrey E. Hinton
  5. Yann LeCun
  6. Diederik P. Kingma
  7. Yoshua Bengio
  8. Tsung-Yi Lin
  9. Shaoqing Ren
  10. Ilya Sutskever

Who trusts Tianheng Cheng overall

  1. Yuhui Yuan
  2. Qin Liu
  3. Kevin Qinghong Lin
  4. Meng-Hao Guo

Papers from Tianheng Cheng's perspective

Ordered by how strongly the researchers Tianheng Cheng 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. ImageNet: A large-scale hierarchical image database
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers