Todd Zickler

Computer Vision and Pattern Recognition · 2008–2021

A researcher in the Science corpus: 5 papers; trusts 241 researchers and is trusted by 36 researchers here, as inferred from the citation graph.

Subfields

Whom Todd Zickler trusts overall

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

  1. Ali Farhadi
  2. Anat Levin
  3. Yair Weiss
  4. Geoffrey E. Hinton
  5. William T. Freeman
  6. Alex Krizhevsky
  7. Kaiming He
  8. Diederik P. Kingma
  9. Jiaya Jia
  10. Yoshua Bengio

Who trusts Todd Zickler overall

  1. Jingjing Zheng
  2. Hossein Rahmani
  3. Boaz Arad
  4. Ajmal Saeed Mian
  5. Renwei Dian
  6. Zhuolin Jiang
  7. Jian Sun
  8. Naveed Akhtar
  9. Michalis Vrigkas
  10. A. Ciptadi

Papers from Todd Zickler's perspective

Ordered by how strongly the researchers Todd Zickler 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. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  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