Maxim Likhachev

Computer Vision and Pattern Recognition · 2002–2020

A researcher in the Science corpus: 15 papers; trusts 17 researchers and is trusted by 61 researchers here, as inferred from the citation graph.

Subfields

Whom Maxim Likhachev trusts overall

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

  1. Sven Koenig
  2. Nils J. Nilsson
  3. Thomas M. Howard
  4. Andrew W. Moore
  5. Sebastian Thrun
  6. Christopher G. Atkeson
  7. Geoffrey J. Gordon
  8. Andrew Barto
  9. Steven M. LaValle
  10. Alonzo James Kelly

Who trusts Maxim Likhachev overall

  1. D. Ferguson
  2. Anthony Stentz
  3. J. Sánchez-Ibáñez
  4. Benjamin J. Cohen
  5. Daniel Mellinger
  6. Jonathan D. Gammell
  7. Sven Koenig
  8. Vijay R. Kumar
  9. Dmitri A. Dolgov
  10. Sertac Karaman

Papers from Maxim Likhachev's perspective

Ordered by how strongly the researchers Maxim Likhachev 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. Human-level control through deep reinforcement learning
  4. Reinforcement Learning: An Introduction
  5. Gradient-based learning applied to document recognition
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. ImageNet: A large-scale hierarchical image database
  10. MuJoCo: A physics engine for model-based control

Their papers