Ali Hatamizadeh

Computer Vision and Pattern Recognition · 2021–2024

A researcher in the Science corpus: 6 papers; trusts 479 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Ali Hatamizadeh trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Ross B. Girshick
  5. Sergey Ioffe
  6. Diederik P. Kingma
  7. Yoshua Bengio
  8. Christian Szegedy
  9. Yann LeCun
  10. Ilya Sutskever

Who trusts Ali Hatamizadeh overall

  1. Jun Ma
  2. Junde Wu
  3. Zhaohu Xing
  4. Abdelrahman M. Shaker
  5. Reza Azad
  6. Hong-Yu Zhou
  7. Chenxin Li
  8. Fahad Shamshad
  9. Xiaohong Huang
  10. Jeya Maria Jose Valanarasu

Papers from Ali Hatamizadeh's perspective

Ordered by how strongly the researchers Ali Hatamizadeh 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. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers