Divyansh Garg

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 177 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Divyansh Garg trusts overall

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

  1. Kaiming He
  2. Andreas Geiger
  3. Ross B. Girshick
  4. Charles Ruizhongtai Qi
  5. Geoffrey E. Hinton
  6. Alex Krizhevsky
  7. Shaoqing Ren
  8. Xiaozhi Chen
  9. Tsung-Yi Lin
  10. Raquel Urtasun

Who trusts Divyansh Garg overall

  1. Jonah Philion
  2. Tai Wang
  3. Shaoshuai Shi

Papers from Divyansh Garg's perspective

Ordered by how strongly the researchers Divyansh 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. ImageNet: A large-scale hierarchical image database
  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. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers