Forrest N. Iandola

Computer Vision and Pattern Recognition · with Chandra · 2023

A researcher in the Science corpus: 1 paper; trusts 31 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Forrest N. Iandola trusts

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

  1. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  2. Kaiming He (in Computer Vision and Pattern Recognition)
  3. Piotr Doll'ar (in Computer Vision and Pattern Recognition)
  4. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  5. Jitendra Malik (in Computer Vision and Pattern Recognition)
  6. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  7. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  8. Geoffrey E. Hinton (in Computer Vision and Pattern Recognition)
  9. Li Fei-Fei (in Computer Vision and Pattern Recognition)
  10. X. Zhang (in Computer Vision and Pattern Recognition)

Papers from Forrest N. Iandola's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. ImageNet: A large-scale hierarchical image database
  3. Microsoft COCO: Common Objects in Context
  4. Distilling the Knowledge in a Neural Network (arXiv.org)
  5. Mask R-CNN
  6. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (International Conference on Learning Representations)
  7. A Simple Framework for Contrastive Learning of Visual Representations (International Conference on Machine Learning)
  8. Decoupled Weight Decay Regularization
  9. Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion
  10. Context Encoders: Feature Learning by Inpainting

Their papers