Bin Wang

Computer Vision and Pattern Recognition · with Cheng · 2017–2023

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Bin Wang trusts overall

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

  1. Kaiming He
  2. Shaoqing Ren
  3. X. Zhang
  4. Ross B. Girshick
  5. Andrew Zisserman
  6. Li Fei-Fei
  7. Alex Krizhevsky
  8. Jitendra Malik
  9. Ilya Sutskever
  10. Piotr Doll'ar

Who trusts Bin Wang overall

  1. Ekim Yurtsever

Papers from Bin Wang's perspective

Ordered by how strongly the researchers Bin Wang 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: A large-scale hierarchical image database
  3. Microsoft COCO: Common Objects in Context
  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. Attention is All you Need (Neural Information Processing Systems)
  7. Learning Transferable Visual Models From Natural Language Supervision (International Conference on Machine Learning)
  8. Long Short-Term Memory
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Gradient-based learning applied to document recognition

Their papers