Teck-Yian Lim

Computer Vision and Pattern Recognition · 2016–2018

A researcher in the Science corpus: 3 papers; trusts 328 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

Whom Teck-Yian Lim trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Karen Simonyan
  4. Jimmy Ba
  5. Alex Krizhevsky
  6. Kaiming He
  7. Yoshua Bengio
  8. Andrew Zisserman
  9. Leon A. Gatys
  10. Yann LeCun

Who trusts Teck-Yian Lim overall

  1. Haofeng Li
  2. Avisek Lahiri
  3. Namrata Anand
  4. Neil Zeghidour
  5. Rithesh Kumar
  6. Yunpeng Li
  7. Yuval Alaluf
  8. Anh Tuan Tran
  9. Hongyu Liu
  10. Viraj Shah

Papers from Teck-Yian Lim's perspective

Ordered by how strongly the researchers Teck-Yian Lim 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. Gradient-based learning applied to document recognition
  5. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  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