Jae-Pil Heo

Computer Vision and Pattern Recognition · with Chang · 2012

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Jae-Pil Heo trusts overall

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

  1. Moses Charikar
  2. Brian Kulis
  3. Svetlana Lazebnik
  4. Yunchao Gong
  5. Jerome H. Friedman
  6. Maxim Raginsky
  7. Ondřej Chum
  8. Kristen Grauman
  9. Andrew Zisserman
  10. Antonio Torralba

Who trusts Jae-Pil Heo overall

  1. Jingdong Wang
  2. Cheng Deng
  3. M. A. Carreira-Perpiñán
  4. Jordi Salvador
  5. Jiwen Lu
  6. Venice Erin Liong
  7. Cong Leng
  8. Jun Wang
  9. Kevin Qinghong Lin
  10. Erkun Yang

Papers from Jae-Pil Heo's perspective

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

Their papers