Jeannette Bohg

Computer Vision and Pattern Recognition · 2010–2024

A researcher in the Science corpus: 21 papers; trusts 596 researchers and is trusted by 39 researchers here, as inferred from the citation graph.

Subfields

Whom Jeannette Bohg trusts overall

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

  1. Geoffrey E. Hinton
  2. David G. Lowe
  3. Sergey Levine
  4. Yoshua Bengio
  5. Diederik P. Kingma
  6. Kaiming He
  7. Alex Krizhevsky
  8. Yann LeCun
  9. Ross B. Girshick
  10. Ilya Sutskever

Who trusts Jeannette Bohg overall

  1. Jeffrey Mahler
  2. Sergey Levine
  3. Abhinav Kumar Gupta
  4. Lerrel Pinto
  5. Oliver Kroemer
  6. Daniel Kappler
  7. Peter Pastor
  8. Mohi Khansari
  9. Deirdre Quillen
  10. Adithyavairavan Murali

Papers from Jeannette Bohg's perspective

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

Their papers