Kalyan Sunkavalli

Computer Vision and Pattern Recognition · 2017–2024

A researcher in the Science corpus: 14 papers; trusts 1,129 researchers and is trusted by 52 researchers here, as inferred from the citation graph.

Subfields

Whom Kalyan Sunkavalli trusts overall

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

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

Who trusts Kalyan Sunkavalli overall

  1. Zhengqin Li
  2. Soumyadip Sengupta
  3. Paul Voigtlaender
  4. Wenguan Wang
  5. Ho Kei Cheng
  6. Ayush Kumar Tewari
  7. Joon-Young Lee
  8. Jonathan T. Barron

Papers from Kalyan Sunkavalli's perspective

Ordered by how strongly the researchers Kalyan Sunkavalli 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. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  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