Qiang Wang

Computer Vision and Pattern Recognition · with Cheung · 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 Qiang Wang trusts

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

  1. Michael J. Black (in Computer Vision and Pattern Recognition)
  2. Jia Deng (in Computer Vision and Pattern Recognition)
  3. Thomas Brox (in Computer Vision and Pattern Recognition)

Papers from Qiang Wang's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. FlowNet: Learning Optical Flow with Convolutional Networks
  9. Going deeper with convolutions
  10. ImageNet: A large-scale hierarchical image database

Their papers