Hyunsoo Choi

Computer Vision and Pattern Recognition · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 57 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Hyunsoo Choi trusts overall

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

  1. Kaiming He
  2. Minghui Liao
  3. Karen Simonyan
  4. Ross B. Girshick
  5. Baoguang Shi
  6. Xiang Bai
  7. Cong Yao

Who trusts Hyunsoo Choi overall

  1. Cong Yao

Papers from Hyunsoo Choi's perspective

Ordered by how strongly the researchers Hyunsoo Choi trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  2. Long Short-Term Memory
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Gradient-based learning applied to document recognition
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Going deeper with convolutions
  8. ImageNet: A large-scale hierarchical image database
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Mask R-CNN

Their papers