Zaid Bin Mahbub

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 3 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Zaid Bin Mahbub trusts

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

  1. Geoffrey E. Hinton (in Computer Vision and Pattern Recognition)
  2. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  3. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  4. Yann LeCun (in Computer Vision and Pattern Recognition)
  5. Ilya Sutskever (in Computer Vision and Pattern Recognition)
  6. Karen Simonyan (in Computer Vision and Pattern Recognition)
  7. Koray Kavukcuoglu (in Computer Vision and Pattern Recognition)
  8. Kaiming He (in Computer Vision and Pattern Recognition)
  9. Li Fei-Fei (in Computer Vision and Pattern Recognition)

Papers from Zaid Bin Mahbub's perspective

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

  1. Going deeper with convolutions
  2. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  3. Rethinking the Inception Architecture for Computer Vision
  4. Densely Connected Convolutional Networks
  5. ImageNet classification with deep convolutional neural networks
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  8. Visualizing Data using t-SNE
  9. Gradient-based learning applied to document recognition
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers