Evan V. Herbst

Computer Vision and Pattern Recognition · 2010–2012

A researcher in the Science corpus: 3 papers; trusts 35 researchers and is trusted by 32 researchers here, as inferred from the citation graph.

Subfields

Whom Evan V. Herbst trusts overall

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

  1. David Nistér
  2. David L. Chen
  3. David G. Lowe
  4. Sebastian Thrun
  5. Luke S. Zettlemoyer
  6. Tom Kwiatkowski
  7. Yann LeCun
  8. Changchang Wu
  9. Yasutaka Furukawa
  10. Raymond J. Mooney

Who trusts Evan V. Herbst overall

  1. Dipendra Kumar Misra
  2. Liefeng Bo
  3. Kevin Lai
  4. Dieter Fox
  5. Christian Kerl
  6. Jürgen Sturm
  7. Karthik Narasimhan
  8. Xiaofeng Ren
  9. Khalid Yousif
  10. Alex Teichman

Papers from Evan V. Herbst's perspective

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

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

Their papers