Joo-Hwee Lim

Computer Vision and Pattern Recognition · with Tan · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 295 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Joo-Hwee Lim trusts overall

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

  1. Kaiming He
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Alireza Fathi
  6. Yoshua Bengio
  7. Ross B. Girshick
  8. Yann LeCun
  9. Ilya Sutskever
  10. Karen Simonyan

Who trusts Joo-Hwee Lim overall

  1. Miaoyun Zhao
  2. Yulai Cong

Papers from Joo-Hwee Lim's perspective

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

Their papers