Amit Kumar Jaiswal

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 42 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Amit Kumar Jaiswal trusts overall

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

  1. Ross B. Girshick
  2. Kaiming He
  3. Shaoqing Ren
  4. Alex Krizhevsky
  5. Evan Shelhamer
  6. Tsung-Yi Lin
  7. Geoffrey E. Hinton
  8. Andrew Zisserman
  9. X. Zhang
  10. Yann LeCun

Who trusts Amit Kumar Jaiswal overall

  1. S. Suganyadevi
  2. Ali Narin
  3. V. Seethalakshmi
  4. Ceren Kaya

Papers from Amit Kumar Jaiswal's perspective

Ordered by how strongly the researchers Amit Kumar Jaiswal 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. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Going deeper with convolutions
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers