S. Gong

Computer Vision and Pattern Recognition · with Yang · 2022

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom S. Gong trusts overall

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

  1. A. Bovik

Papers from S. Gong's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. GENERATIVE ADVERSARIAL NETS
  4. ImageNet classification with deep convolutional neural networks
  5. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (International Conference on Learning Representations)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning

Their papers