Adams Wai-Kin Kong

Computer Vision and Pattern Recognition · with Chen · 2021

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Adams Wai-Kin Kong trusts

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

  1. Kaiming He (in Computer Vision and Pattern Recognition)
  2. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  3. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  4. Thomas Brox (in Computer Vision and Pattern Recognition)
  5. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  6. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  7. X. Zhang (in Computer Vision and Pattern Recognition)
  8. Ilya Loshchilov (in Computer Vision and Pattern Recognition)
  9. Karen Simonyan (in Computer Vision and Pattern Recognition)
  10. Frank Hutter (in Computer Vision and Pattern Recognition)

Papers from Adams Wai-Kin Kong's perspective

Ordered by how strongly the researchers Adams Wai-Kin 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. Fully convolutional networks for semantic segmentation
  3. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  4. Densely Connected Convolutional Networks
  5. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (International Conference on Learning Representations)
  6. ImageNet classification with deep convolutional neural networks
  7. Attention is All you Need (Neural Information Processing Systems)
  8. SGDR: Stochastic Gradient Descent with Warm Restarts
  9. End-to-End Object Detection with Transformers (European Conference on Computer Vision)
  10. Gradient-based learning applied to document recognition

Their papers