Neel Joshi

Computer Vision and Pattern Recognition · 2004–2017

A researcher in the Science corpus: 7 papers; trusts 131 researchers and is trusted by 75 researchers here, as inferred from the citation graph.

Subfields

Whom Neel Joshi trusts overall

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

  1. Anat Levin
  2. Sundaresh Ram
  3. Geoffrey E. Hinton
  4. Jiaya Jia
  5. Kaiming He
  6. William T. Freeman
  7. Graham W. Taylor
  8. Stefan Roth
  9. Moshe Ben-Ezra
  10. Rob Fergus

Who trusts Neel Joshi overall

  1. Li Xu
  2. Jin-shan Pan
  3. Sunghyun Cho
  4. Anat Levin
  5. Ce Liu
  6. Tae Hyun Kim
  7. Yiming Liu
  8. Ankit Gupta
  9. Deqing Sun
  10. Jiaya Jia

Papers from Neel Joshi's perspective

Ordered by how strongly the researchers Neel Joshi 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. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  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. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers