Shridar Ganesan

Computer Vision and Pattern Recognition · 2001–2017

A researcher in the Science corpus: 7 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Shridar Ganesan trusts overall

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

  1. Yoshua Bengio
  2. Yann LeCun

Papers from Shridar Ganesan's perspective

Ordered by how strongly the researchers Shridar Ganesan trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Building high-level features using large scale unsupervised learning
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers