Jiabin Huang

Computer Vision and Pattern Recognition · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 133 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

Whom Jiabin Huang trusts overall

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

  1. Kaiming He
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Yann LeCun
  5. Karen Simonyan
  6. Ilya Sutskever
  7. Pablo Arbeláez
  8. Yoshua Bengio
  9. Carlo Tomasi
  10. Sergey Ioffe

Who trusts Jiabin Huang overall

  1. He Zhang
  2. Ruoteng Li
  3. Chris H. Bahnsen
  4. Vishal M. Patel
  5. Ozan Özdenizci
  6. Xueyang Fu
  7. Chong Mou
  8. Rajeev Yasarla
  9. Xiaowei Hu
  10. Hong Wang

Papers from Jiabin Huang's perspective

Ordered by how strongly the researchers Jiabin 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  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. ImageNet Large Scale Visual Recognition Challenge

Their papers