Fangbin Wan

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Fangbin Wan trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Shaoqing Ren
  4. Piotr Doll'ar
  5. Tsung-Yi Lin
  6. Pedro F. Felzenszwalb

Papers from Fangbin Wan's perspective

Ordered by how strongly the researchers Fangbin Wan 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. Gradient-based learning applied to document recognition
  4. ImageNet: A large-scale hierarchical image database
  5. Long Short-Term Memory
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Going deeper with convolutions
  10. Object Detection with Discriminatively Trained Part Based Models

Their papers