Hugues Thomas

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hugues Thomas trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Charles Ruizhongtai Qi
  5. Li Yi
  6. Daniel Maturana
  7. Ross B. Girshick
  8. Yann LeCun
  9. X. Zhang
  10. Diederik P. Kingma

Who trusts Hugues Thomas overall

  1. Xu Yan
  2. Bo Yang
  3. Qingyong Hu
  4. Yue Wang
  5. Julian Chibane
  6. Xiaoyang Wu
  7. Dávid Rozenberszki
  8. Fu Li
  9. Chandan Yeshwanth
  10. Freyr Sverrisson

Papers from Hugues Thomas's perspective

Ordered by how strongly the researchers Hugues Thomas 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers