Tony Chiang

Computer Vision and Pattern Recognition · 2024–2025

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tony Chiang trusts

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

  1. R. Fisher (in Statistics and Probability)
  2. Bill Triggs (in Computer Vision and Pattern Recognition)
  3. Navneet Dalal (in Computer Vision and Pattern Recognition)
  4. Thomas Brox (in Computer Vision and Pattern Recognition)
  5. Pieter Abbeel (in Computer Vision and Pattern Recognition)
  6. Yoshua Bengio (in Computer Vision and Pattern Recognition)
  7. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  8. Karen Simonyan (in Computer Vision and Pattern Recognition)
  9. Kaiming He (in Computer Vision and Pattern Recognition)
  10. Ross B. Girshick (in Computer Vision and Pattern Recognition)

Papers from Tony Chiang's perspective

Ordered by how strongly the researchers Tony Chiang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Histograms of oriented gradients for human detection
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  9. ImageNet: A large-scale hierarchical image database
  10. Learning Multiple Layers of Features from Tiny Images

Their papers