Mate Kisantal

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 40 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mate Kisantal trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Tsung-Yi Lin
  4. Piotr Doll'ar
  5. Alex Krizhevsky
  6. Geoffrey E. Hinton
  7. Yann LeCun
  8. Yoshua Bengio
  9. Karen Simonyan
  10. Diederik P. Kingma

Who trusts Mate Kisantal overall

  1. Chenhongyi Yang
  2. Fatih Cagatay Akyon
  3. Gong Cheng
  4. Xiuwei Xu
  5. Guang Chen
  6. Lue Fan
  7. Zehao Huang
  8. Sinan Onur Altinuc

Papers from Mate Kisantal's perspective

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

Their papers