Vikram S. Voleti

Computer Vision and Pattern Recognition · 2022–2024

A researcher in the Science corpus: 3 papers; trusts 302 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Vikram S. Voleti trusts overall

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

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

Who trusts Vikram S. Voleti overall

  1. Andreas Blattmann
  2. Yin-Yin He
  3. Haoxin Chen
  4. David Junhao Zhang
  5. Yong Zhang
  6. Tim Dockhorn
  7. Jiale Xu
  8. Ying Shan
  9. Tianyu Yang
  10. Robin Rombach

Papers from Vikram S. Voleti's perspective

Ordered by how strongly the researchers Vikram S. Voleti 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. Learning Multiple Layers of Features from Tiny Images

Their papers