Mohit Bagra

Computer Vision and Pattern Recognition · 2012

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mohit Bagra trusts overall

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

  1. Derek Hoiem
  2. David G. Lowe
  3. Alexei A. Efros
  4. Martial Hebert

Papers from Mohit Bagra's perspective

Ordered by how strongly the researchers Mohit Bagra 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. Distinctive Image Features from Scale-Invariant Keypoints
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Going deeper with convolutions
  10. Object Detection with Discriminatively Trained Part Based Models

Their papers