Zoltán-Csaba Márton

Computer Vision and Pattern Recognition · 2008–2021

A researcher in the Science corpus: 7 papers; trusts 288 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

Whom Zoltán-Csaba Márton trusts overall

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

  1. Radu Bogdan Rusu
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Diederik P. Kingma
  5. Yoshua Bengio
  6. Andrew Zisserman
  7. Alex Krizhevsky
  8. Ross B. Girshick
  9. David G. Lowe
  10. Yann LeCun

Who trusts Zoltán-Csaba Márton overall

  1. Radu Bogdan Rusu
  2. Michael Beetz
  3. Nico Blodow
  4. Moritz Tenorth
  5. Yue Wang
  6. Samuele Salti
  7. Andy Zeng
  8. Hema Swetha Koppula
  9. Anh Viet Nguyen
  10. Haowen Deng

Papers from Zoltán-Csaba Márton's perspective

Ordered by how strongly the researchers Zoltán-Csaba Márton trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  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. Going deeper with convolutions

Their papers