Lyne P. Tchapmi

Computer Vision and Pattern Recognition · 2017–2025

A researcher in the Science corpus: 5 papers; trusts 280 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Lyne P. Tchapmi trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Ross B. Girshick
  5. Diederik P. Kingma
  6. Yann LeCun
  7. Yoshua Bengio
  8. Hao Su
  9. Andreas Geiger
  10. Karen Simonyan

Who trusts Lyne P. Tchapmi overall

  1. Hengshuang Zhao
  2. Xiaoyang Wu
  3. Lin Zhao
  4. Loic Landrieu
  5. Zhijian Liu
  6. Qiangui Huang
  7. Li Jiang
  8. Zaiwei Zhang
  9. Maxim Tatarchenko
  10. Mutian Xu

Papers from Lyne P. Tchapmi's perspective

Ordered by how strongly the researchers Lyne P. Tchapmi 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