Baojin Huang

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Baojin Huang trusts

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

  1. A. Bovik (in Computer Vision and Pattern Recognition)
  2. Vishal M. Patel (in Computer Vision and Pattern Recognition)
  3. Kaiming He (in Computer Vision and Pattern Recognition)
  4. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  5. Andrew Zisserman (in Computer Vision and Pattern Recognition)

Papers from Baojin Huang's perspective

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

  1. Mask R-CNN
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Image quality assessment: from error visibility to structural similarity
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Labeled Faces in the Wild: A Database forStudying Face Recognition in Unconstrained Environments

Their papers