Bingtao Ma

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Bingtao Ma trusts

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

  1. Derek Hoiem (in Computer Vision and Pattern Recognition)
  2. Cordelia Schmid (in Computer Vision and Pattern Recognition)
  3. Adrian Daniel Popescu (in Computer Vision and Pattern Recognition)
  4. Eden Belouadah (in Computer Vision and Pattern Recognition)
  5. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  6. Kaiming He (in Computer Vision and Pattern Recognition)
  7. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  8. Zhizhong Li (in Computer Vision and Pattern Recognition)
  9. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  10. Jitendra Malik (in Computer Vision and Pattern Recognition)

Papers from Bingtao Ma's perspective

Ordered by how strongly the researchers Bingtao Ma 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. ImageNet Large Scale Visual Recognition Challenge
  7. Learning Multiple Layers of Features from Tiny Images
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers