Animesh Garg

Computer Vision and Pattern Recognition · 2017–2023

A researcher in the Science corpus: 26 papers; trusts 1,184 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

Whom Animesh Garg trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Alex Krizhevsky
  4. Kaiming He
  5. Yoshua Bengio
  6. Sergey Levine
  7. Richard S. Sutton
  8. Yann LeCun
  9. Ilya Sutskever
  10. Pieter Abbeel

Who trusts Animesh Garg overall

  1. Ajay Mandlekar
  2. Yuke Zhu
  3. Samarth Sinha
  4. Tanmay Shankar
  5. Abhinav Kumar Gupta
  6. Sanjay Krishnan
  7. Siddharth Karamcheti
  8. Jing Zhang
  9. Sudeep Dasari
  10. Danfei Xu

Papers from Animesh Garg's perspective

Ordered by how strongly the researchers Animesh Garg 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. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers