Bingbing Liu

Computer Vision and Pattern Recognition · with Cheng · 2021

A researcher in the Science corpus: 1 paper; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Bingbing Liu trusts

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

  1. Ali Farhadi (in Computer Vision and Pattern Recognition)
  2. Matthew B. Blaschko (in Computer Vision and Pattern Recognition)
  3. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  4. Kaiming He (in Computer Vision and Pattern Recognition)
  5. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  6. Amal Rannen Triki (in Computer Vision and Pattern Recognition)
  7. Maxim Berman (in Computer Vision and Pattern Recognition)
  8. Raquel Urtasun (in Computer Vision and Pattern Recognition)
  9. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  10. Kurt Keutzer (in Computer Vision and Pattern Recognition)

Papers from Bingbing Liu's perspective

Ordered by how strongly the researchers Bingbing Liu 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. Are we ready for autonomous driving? The KITTI vision benchmark suite
  4. ImageNet: A large-scale hierarchical image database
  5. PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
  6. Gradient-based learning applied to document recognition
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space (Neural Information Processing Systems)
  10. Squeeze-and-Excitation Networks

Their papers