Yuki Mitsufuji

Signal Processing · with Takahashi · 2015–2020

A researcher in the Science corpus: 8 papers; trusts 153 researchers and is trusted by 33 researchers here, as inferred from the citation graph.

Subfields

Whom Yuki Mitsufuji trusts overall

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

  1. Alex Krizhevsky
  2. Stefan Uhlich
  3. Emmanuel Vincent
  4. Christian Szegedy
  5. Geoffrey E. Hinton
  6. Naoya Takahashi
  7. Yoshua Bengio
  8. Sergey Ioffe
  9. Kaiming He
  10. Yann LeCun

Who trusts Yuki Mitsufuji overall

  1. Naoya Takahashi
  2. Alexandre D'efossez
  3. Jen-Yu Liu
  4. Hyeong-Seok Choi
  5. Simon Rouard
  6. Nicolas Usunier
  7. Nabarun Goswami
  8. Laure Prétet
  9. Fabian-Robert Stöter
  10. Yi-Hsuan Yang

Papers from Yuki Mitsufuji's perspective

Ordered by how strongly the researchers Yuki Mitsufuji 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. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  9. Going deeper with convolutions
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers