Melissa C. Tulig

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Melissa C. Tulig 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)

Papers from Melissa C. Tulig's perspective

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

  1. ImageNet Large Scale Visual Recognition Challenge
  2. Aggregated Residual Transformations for Deep Neural Networks
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
  6. Gradient-based learning applied to document recognition
  7. Going deeper with convolutions
  8. Squeeze-and-Excitation Networks
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Long Short-Term Memory

Their papers