Dustin Podell

Computer Vision and Pattern Recognition · 2023–2025

A researcher in the Science corpus: 3 papers; trusts 38 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Dustin Podell trusts overall

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

  1. Diederik P. Kingma
  2. Aapo Hyvärinen
  3. Geoffrey E. Hinton
  4. Jonathan Ho
  5. Alex Krizhevsky
  6. Yoshua Bengio
  7. Tim Salimans
  8. Ilya Sutskever
  9. Kaiming He
  10. Alec Radford

Who trusts Dustin Podell overall

  1. Axel Sauer
  2. Peng Wang
  3. Andreas Blattmann
  4. Junsong Chen
  5. Jingfeng Yao
  6. Xintao Wang
  7. Tianwei Yin
  8. Haoxin Chen
  9. Kai Zhang
  10. Xingchao Liu

Papers from Dustin Podell's perspective

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

Their papers