Junhwa Hur

Computer Vision and Pattern Recognition · 2017–2024

A researcher in the Science corpus: 5 papers; trusts 714 researchers and is trusted by 39 researchers here, as inferred from the citation graph.

Subfields

Whom Junhwa Hur trusts overall

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

  1. Andreas Geiger
  2. Diederik P. Kingma
  3. Eddy Ilg
  4. Geoffrey E. Hinton
  5. Kaiming He
  6. Ross B. Girshick
  7. Thomas Brox
  8. Alex Krizhevsky
  9. Yann LeCun
  10. Karen Simonyan

Who trusts Junhwa Hur overall

  1. Haofei Xu
  2. Zachary Teed
  3. Shihao Jiang
  4. Jing Zhang
  5. Deqing Sun
  6. Jia Deng
  7. Alex Zihao Zhu
  8. Longlong Jing
  9. Zihang Lai
  10. Jianfei Cai

Papers from Junhwa Hur's perspective

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

Their papers