Ali Siahkoohi

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ali Siahkoohi trusts

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

  1. Geoffrey E. Hinton (in Computer Vision and Pattern Recognition)
  2. Li Deng (in Computer Vision and Pattern Recognition)
  3. Ted Chang (in Computational Theory and Mathematics)
  4. Yoshua Bengio (in Computer Vision and Pattern Recognition)

Papers from Ali Siahkoohi's perspective

Ordered by how strongly the researchers Ali Siahkoohi trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Gradient-based learning applied to document recognition
  2. GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
  3. Improved Training of Wasserstein GANs
  4. ImageNet classification with deep convolutional neural networks
  5. Image-to-Image Translation with Conditional Adversarial Networks
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Visualizing Data using t-SNE
  8. Zero-Shot Text-to-Image Generation
  9. Denoising Diffusion Probabilistic Models (Neural Information Processing Systems)
  10. A Style-Based Generator Architecture for Generative Adversarial Networks

Their papers