Haofan Wang

Computer Vision and Pattern Recognition · with Bai · 2024

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Haofan Wang trusts

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

  1. Ilya Sutskever (in Computer Vision and Pattern Recognition)
  2. Thomas Brox (in Computer Vision and Pattern Recognition)

Papers from Haofan Wang's perspective

Ordered by how strongly the researchers Haofan 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 classification with deep convolutional neural networks
  3. Attention is All you Need (Neural Information Processing Systems)
  4. Learning Transferable Visual Models From Natural Language Supervision (International Conference on Machine Learning)
  5. ImageNet: A large-scale hierarchical image database
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (International Conference on Learning Representations)

Their papers