Serafettin Tasci

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 3 papers; trusts 384 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Serafettin Tasci trusts overall

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

  1. Ross B. Girshick
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Diederik P. Kingma
  6. Tsung-Yi Lin
  7. Shaoqing Ren
  8. Jia Deng
  9. Yoshua Bengio
  10. Yann LeCun

Who trusts Serafettin Tasci overall

  1. Can Peng
  2. Da-Wei Zhou
  3. Liyuan Wang
  4. Umberto Michieli
  5. Rahaf Aljundi
  6. Zheda Mai
  7. K. J. Joseph
  8. B. Ermiş
  9. Kun Zhao
  10. Liyang Liu

Papers from Serafettin Tasci's perspective

Ordered by how strongly the researchers Serafettin Tasci 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. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Learning Multiple Layers of Features from Tiny Images

Their papers