Naejin Kong

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 26 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Naejin Kong trusts

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

  1. Kaiming He (in Computer Vision and Pattern Recognition)
  2. Alexei A. Efros (in Computer Vision and Pattern Recognition)
  3. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  4. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  5. Li Fei-Fei (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. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  9. Trevor Darrell (in Computer Vision and Pattern Recognition)
  10. Jitendra Malik (in Computer Vision and Pattern Recognition)

Papers from Naejin Kong's perspective

Ordered by how strongly the researchers Naejin 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. ImageNet Large Scale Visual Recognition Challenge
  4. ImageNet classification with deep convolutional neural networks
  5. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  6. Image-to-Image Translation with Conditional Adversarial Networks
  7. Gradient-based learning applied to document recognition
  8. Multi-Scale Context Aggregation by Dilated Convolutions
  9. Context Encoders: Feature Learning by Inpainting
  10. Going deeper with convolutions

Their papers