Tomoyuki Nishita

Computer Vision and Pattern Recognition · 2006

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Tomoyuki Nishita trusts overall

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

  1. Alexei A. Efros
  2. Michael Ashikhmin
  3. Ian T. Jolliffe
  4. Li-Yi Wei
  5. Javier Portilla
  6. Lin Liang
  7. Sunil Arya
  8. Vivek Kwatra
  9. William T. Freeman

Who trusts Tomoyuki Nishita overall

  1. Nicolas Manfred Otto Heess
  2. Tsung-Yu Lin
  3. Delbert Dueck
  4. Mona Mahmoudi
  5. S. Dabo‐Niang
  6. Darko Pavic
  7. Yanhong Zeng
  8. Rolf Köhler
  9. Meng-Li Shih

Papers from Tomoyuki Nishita's perspective

Ordered by how strongly the researchers Tomoyuki Nishita 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. Texture synthesis by non-parametric sampling
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Going deeper with convolutions
  8. ImageNet: A large-scale hierarchical image database
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers