Aayush Bansal

Computer Vision and Pattern Recognition · 2014–2018

A researcher in the Science corpus: 4 papers; trusts 823 researchers and is trusted by 76 researchers here, as inferred from the citation graph.

Subfields

Whom Aayush Bansal trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Ross B. Girshick
  4. Kaiming He
  5. Diederik P. Kingma
  6. Karen Simonyan
  7. Ilya Sutskever
  8. Yann LeCun
  9. Yoshua Bengio
  10. Andrew Zisserman

Who trusts Aayush Bansal overall

  1. Iasonas Kokkinos
  2. Jiajun Wu
  3. Xinlei Chen
  4. Yinda Zhang
  5. Arghya Pal
  6. Sangwoo Mo
  7. Abhinav Kumar Gupta
  8. Yuezun Li
  9. Yisroel Mirsky
  10. Arjun Chandrasekaran

Papers from Aayush Bansal's perspective

Ordered by how strongly the researchers Aayush Bansal 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. Gradient-based learning applied to document recognition
  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