Raghavendra V. Kulkarni

Computer Vision and Pattern Recognition · 2011–2021

A researcher in the Science corpus: 3 papers; trusts 48 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Raghavendra V. Kulkarni trusts overall

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

  1. Ramesh Rajagopalan
  2. Wendi Rabiner Heinzelman
  3. Ben J. A. Kröse
  4. Dipankar Dasgupta
  5. Pramod K. Varshney
  6. James Aspnes
  7. Chee Yee Chong
  8. Yamille del Valle
  9. Anantha P. Chandrakasan
  10. Koen Langendoen

Who trusts Raghavendra V. Kulkarni overall

  1. J. Gubbi
  2. Zesong Fei
  3. M. M. Afsar
  4. Rajkumar Buyya
  5. Slaven Marusic
  6. Davide Dardari

Papers from Raghavendra V. Kulkarni's perspective

Ordered by how strongly the researchers Raghavendra V. Kulkarni 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Going deeper with convolutions
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers