Kazuhiro Sumi

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 27 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kazuhiro Sumi trusts

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

  1. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  2. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  3. Yoshua Bengio (in Computer Vision and Pattern Recognition)
  4. Karen Simonyan (in Computer Vision and Pattern Recognition)
  5. Geoffrey E. Hinton (in Computer Vision and Pattern Recognition)
  6. Ilya Sutskever (in Computer Vision and Pattern Recognition)
  7. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  8. Trevor Darrell (in Computer Vision and Pattern Recognition)
  9. Kyunghyun Cho (in Computer Vision and Pattern Recognition)
  10. Kaiming He (in Computer Vision and Pattern Recognition)

Papers from Kazuhiro Sumi's perspective

Ordered by how strongly the researchers Kazuhiro Sumi trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Long Short-Term Memory
  3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  5. Show and tell: A neural image caption generator
  6. Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Caffe: Convolutional Architecture for Fast Feature Embedding
  9. Gradient-based learning applied to document recognition
  10. Bleu: a Method for Automatic Evaluation of Machine Translation

Their papers