Scott Konishi

Computer Vision and Pattern Recognition · 2000–2003

A researcher in the Science corpus: 2 papers; trusts 22 researchers and is trusted by 864 researchers here, as inferred from the citation graph.

Subfields

Whom Scott Konishi trusts overall

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

  1. Yann LeCun
  2. Song-Chun Zhu
  3. John F. Canny
  4. Stuart Geman
  5. Yoshua Bengio
  6. David J. Field
  7. Geoffrey E. Hinton
  8. David Mumford
  9. Ying Nian Wu
  10. Alex Krizhevsky

Who trusts Scott Konishi overall

  1. Manik Varma
  2. Andrew Zisserman
  3. Iasonas Kokkinos
  4. Alan L. Yuille
  5. Jamie Shotton
  6. Cordelia Schmid
  7. Piotr Doll'ar
  8. Zhuowen Tu
  9. Liang-Chieh Chen
  10. Yuan-Ting Hu

Papers from Scott Konishi's perspective

Ordered by how strongly the researchers Scott Konishi 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. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers