Anirban Chakraborty

Computer Vision and Pattern Recognition · with Mishra · 2019–2020

A researcher in the Science corpus: 4 papers; trusts 379 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Anirban Chakraborty trusts overall

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

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

Who trusts Anirban Chakraborty overall

  1. Konda Reddy Mopuri
  2. Ronghang Hu
  3. Marcus Rohrbach
  4. Amanpreet Singh

Papers from Anirban Chakraborty's perspective

Ordered by how strongly the researchers Anirban Chakraborty 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. Gradient-based learning applied to document recognition
  4. ImageNet: A large-scale hierarchical image database
  5. Long Short-Term Memory
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers