Bingyu Kong

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Bingyu Kong trusts

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

  1. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  2. Kaiming He (in Computer Vision and Pattern Recognition)
  3. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  4. X. Zhang (in Computer Vision and Pattern Recognition)
  5. Yann LeCun (in Computer Vision and Pattern Recognition)
  6. Yoshua Bengio (in Computer Vision and Pattern Recognition)
  7. Andrea Vedaldi (in Computer Vision and Pattern Recognition)

Papers from Bingyu Kong's perspective

Ordered by how strongly the researchers Bingyu Kong 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. Gradient-based learning applied to document recognition
  3. ImageNet classification with deep convolutional neural networks
  4. DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
  5. CNN Features Off-the-Shelf: An Astounding Baseline for Recognition
  6. Long Short-Term Memory
  7. Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. ImageNet: A large-scale hierarchical image database

Their papers