Varun Ganapathi

Computer Vision and Pattern Recognition · 2005–2018

A researcher in the Science corpus: 7 papers; trusts 24 researchers and is trusted by 36 researchers here, as inferred from the citation graph.

Subfields

Whom Varun Ganapathi trusts overall

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

  1. Ronald Poppe
  2. Christian Plagemann
  3. A. G. Ramm
  4. Leonid Sigal
  5. Yann LeCun
  6. Alexandru O. Balan
  7. Daphne Koller
  8. Sebastian Thrun
  9. Dragomir Anguelov
  10. Kevin P. Murphy

Who trusts Varun Ganapathi overall

  1. Meng Ding
  2. Mark W. Schmidt
  3. Jamie Shotton
  4. Pieter Abbeel
  5. Tanner Schmidt
  6. Ross B. Girshick
  7. Fei Han
  8. Albert Haque
  9. Jonathan Taylor
  10. Brian Holt

Papers from Varun Ganapathi's perspective

Ordered by how strongly the researchers Varun Ganapathi 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. ImageNet: A large-scale hierarchical image database
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Distinctive Image Features from Scale-Invariant Keypoints

Their papers