Byeongho Heo

Computer Vision and Pattern Recognition · 2018–2021

A researcher in the Science corpus: 6 papers; trusts 702 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

Whom Byeongho Heo trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Yoshua Bengio
  5. Christian Szegedy
  6. Yann LeCun
  7. Ilya Sutskever
  8. Ross B. Girshick
  9. Karen Simonyan
  10. Sergey Zagoruyko

Who trusts Byeongho Heo overall

  1. Jianping Gou
  2. Lin Wang
  3. Sachin Mehta
  4. Kaiyu Yue
  5. Linfeng Zhang
  6. Luke Melas-Kyriazi
  7. Yuzhang Shang
  8. Shipeng Fu
  9. Seunghyun Lee
  10. Yushuo Guan

Papers from Byeongho Heo's perspective

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

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

Their papers