Vince Tan

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Vince Tan trusts overall

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

  1. Christoph Lassner
  2. Ross B. Girshick
  3. Federica Bogo
  4. Karen Simonyan
  5. Michael J. Black
  6. Andrew Zisserman
  7. Javier Romero
  8. Geoffrey E. Hinton
  9. Kaiming He
  10. Alex Krizhevsky

Who trusts Vince Tan overall

  1. Angjoo Kanazawa
  2. Georgios Pavlakos
  3. Michael J. Black
  4. Nikos Kolotouros
  5. Muhammed Kocabas
  6. Yucheng Chen
  7. Dominik Kulon
  8. Zerong Zheng
  9. Liuhao Ge
  10. Zeng Huang

Papers from Vince Tan's perspective

Ordered by how strongly the researchers Vince Tan 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. Microsoft COCO: Common Objects in Context
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Going deeper with convolutions

Their papers