Tong He

Computer Vision and Pattern Recognition · with Liu · 2023

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tong He trusts

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

  1. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  2. Kaiming He (in Computer Vision and Pattern Recognition)
  3. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  4. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  5. Bo Li (in Computer Vision and Pattern Recognition)

Papers from Tong He's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
  3. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (International Conference on Learning Representations)
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. ImageNet classification with deep convolutional neural networks
  6. PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space (Neural Information Processing Systems)
  7. ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes
  8. VoxNet: A 3D Convolutional Neural Network for real-time object recognition
  9. ImageNet: A large-scale hierarchical image database
  10. Generating Long Sequences with Sparse Transformers

Their papers