Ieee Fellow

Computer Vision and Pattern Recognition

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

Subfields

Whom Ieee Fellow trusts

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

  1. Zhuowen Tu (in Computer Vision and Pattern Recognition)

Papers from Ieee Fellow's perspective

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

  1. Auto-Context and Its Application to High-Level Vision Tasks and 3D Brain Image Segmentation
  2. ImageNet classification with deep convolutional neural networks
  3. Gradient-based learning applied to document recognition
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Histograms of oriented gradients for human detection
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Learning Multiple Layers of Features from Tiny Images
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Going deeper with convolutions
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers