D. Jude Hemanth

Computer Vision and Pattern Recognition · 2019–2021

A researcher in the Science corpus: 3 papers; trusts 36 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom D. Jude Hemanth trusts overall

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

  1. Karen Simonyan
  2. Christian Szegedy
  3. Shan Li
  4. Kaiming He
  5. Andrew Zisserman

Who trusts D. Jude Hemanth overall

  1. P. M. Ameer
  2. S. Deepak

Papers from D. Jude Hemanth's perspective

Ordered by how strongly the researchers D. Jude Hemanth 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  4. Rethinking the Inception Architecture for Computer Vision
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Going deeper with convolutions
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers