Erik Bochinski

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 90 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Erik Bochinski trusts overall

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

  1. Ross B. Girshick
  2. Pedro F. Felzenszwalb
  3. Kaiming He
  4. Shaoqing Ren
  5. Piotr Doll'ar
  6. Alex Krizhevsky
  7. Geoffrey E. Hinton
  8. Deva Ramanan
  9. Hamed Pirsiavash
  10. Zhaowei Cai

Who trusts Erik Bochinski overall

  1. Dawei Du
  2. Nir Aharon
  3. Jiarui Xu
  4. Yifu Zhang
  5. Chung-Ching Lin
  6. Jonathon Luiten
  7. Yunhao Du
  8. Chao Liang
  9. Longyin Wen
  10. Jacob Donley

Papers from Erik Bochinski's perspective

Ordered by how strongly the researchers Erik Bochinski 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Going deeper with convolutions
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers