Ikhsanul Habibie

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ikhsanul Habibie trusts

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

  1. Kaiming He (in Computer Vision and Pattern Recognition)
  2. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  3. Thomas Brox (in Computer Vision and Pattern Recognition)
  4. X. Zhang (in Computer Vision and Pattern Recognition)
  5. Yaser Sheikh (in Computer Vision and Pattern Recognition)
  6. Yann LeCun (in Computer Vision and Pattern Recognition)
  7. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  8. Andrew Zisserman (in Computer Vision and Pattern Recognition)

Papers from Ikhsanul Habibie's perspective

Ordered by how strongly the researchers Ikhsanul Habibie 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. Understanding the difficulty of training deep feedforward neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. ImageNet Large Scale Visual Recognition Challenge
  7. Long Short-Term Memory
  8. ImageNet: A large-scale hierarchical image database
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers