Huaibo Huang

Computer Vision and Pattern Recognition · 2000–2018

A researcher in the Science corpus: 3 papers; trusts 262 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Huaibo Huang trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Stéphane Mallat
  4. Alex Krizhevsky
  5. Yann LeCun
  6. Yoshua Bengio
  7. Kaiming He
  8. Ilya Sutskever
  9. Ross B. Girshick
  10. Jimmy Ba

Who trusts Huaibo Huang overall

  1. Adrian Bulat
  2. Guo-Jun Qi
  3. Zhihao Wang
  4. Georgios Tzimiropoulos
  5. Ari Heljakka
  6. Xiang Wang
  7. Shahaf E. Finder
  8. Yuyang Qian
  9. Yotam Nitzan
  10. Gaurav Parmar

Papers from Huaibo Huang's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers