Shariq Farooq Bhat

Computer Vision and Pattern Recognition · 2020–2023

A researcher in the Science corpus: 2 papers; trusts 249 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Shariq Farooq Bhat trusts overall

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

  1. Geoffrey E. Hinton
  2. Kaiming He
  3. Alex Krizhevsky
  4. Ross B. Girshick
  5. Diederik P. Kingma
  6. Yoshua Bengio
  7. Rob Fergus
  8. Shuran Song
  9. Yann LeCun
  10. Nathan Silberman

Who trusts Shariq Farooq Bhat overall

  1. Anh-Quan Cao
  2. Lihe Yang
  3. Wenliang Zhao
  4. Luigi Piccinelli
  5. Zhenyu Li
  6. Yi Wei
  7. Wei Yin
  8. Yiming Li
  9. Yinhao Li
  10. Naoki Yokoyama

Papers from Shariq Farooq Bhat's perspective

Ordered by how strongly the researchers Shariq Farooq Bhat 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  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