Eric M. Wolff

Automotive Engineering · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Eric M. Wolff trusts

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

  1. Steven M. LaValle (in Computer Vision and Pattern Recognition)
  2. Raquel Urtasun (in Computer Vision and Pattern Recognition)
  3. Kaiming He (in Computer Vision and Pattern Recognition)
  4. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  5. X. Zhang (in Computer Vision and Pattern Recognition)
  6. Li Fei-Fei (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)
  9. Silvio Savarese (in Computer Vision and Pattern Recognition)
  10. Jitendra Malik (in Computer Vision and Pattern Recognition)

Papers from Eric M. Wolff's perspective

Ordered by how strongly the researchers Eric M. Wolff 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 Large Scale Visual Recognition Challenge
  3. ImageNet classification with deep convolutional neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Are we ready for autonomous driving? The KITTI vision benchmark suite
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Gradient-based learning applied to document recognition
  9. Long Short-Term Memory
  10. Going deeper with convolutions

Their papers