Jaesik Park

Computer Vision and Pattern Recognition · IEEE International Conference on Computer Vision · 2011–2020

A researcher in the Science corpus: 10 papers; trusts 985 researchers and is trusted by 90 researchers here, as inferred from the citation graph.

Subfields

Whom Jaesik Park trusts overall

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

  1. Kaiming He
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. David G. Lowe
  5. Diederik P. Kingma
  6. Radu Bogdan Rusu
  7. Yann LeCun
  8. Yoshua Bengio
  9. Ross B. Girshick
  10. Karen Simonyan

Who trusts Jaesik Park overall

  1. Christopher Bongsoo Choy
  2. Jonathan T. Barron
  3. Vladlen Koltun
  4. Xuyang Bai
  5. Heng Yang
  6. Yue Wang
  7. Qian-Yi Zhou
  8. Zixin Luo
  9. Wei Dong
  10. Zi Jian Yew

Papers from Jaesik Park's perspective

Ordered by how strongly the researchers Jaesik Park 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. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  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