J. Park

Computer Vision and Pattern Recognition · with Chan · 2019–2025

A researcher in the Science corpus: 4 papers; trusts 266 researchers and is trusted by 79 researchers here, as inferred from the citation graph.

Subfields

Whom J. Park trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Kaiming He
  5. Yoshua Bengio
  6. Charles Ruizhongtai Qi
  7. Sergey Ioffe
  8. Yann LeCun
  9. Jimmy Ba
  10. Dimitri P. Bertsekas

Who trusts J. Park overall

  1. Michael Niemeyer
  2. Vincent Sitzmann
  3. Andreas Geiger
  4. Anpei Chen
  5. Zehao Yu
  6. Songyou Peng
  7. Julian Chibane
  8. Matthew Tancik
  9. Shunsuke Saito
  10. Alex Yu

Papers from J. Park's perspective

Ordered by how strongly the researchers J. 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. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers