Abhir H. Bhalerao

Computer Vision and Pattern Recognition · 2000–2017

A researcher in the Science corpus: 2 papers; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Abhir H. Bhalerao trusts overall

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

  1. Lin Xiao
  2. James R. Foulds
  3. Xuehan Xiong
  4. Pedro F. Felzenszwalb
  5. Yixin Chen
  6. Amir Jamaludin
  7. Maxime Oquab
  8. Andrew Zisserman
  9. Ross B. Girshick
  10. L. Eon Bottou

Papers from Abhir H. Bhalerao's perspective

Ordered by how strongly the researchers Abhir H. Bhalerao 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. Object Detection with Discriminatively Trained Part Based Models
  5. ImageNet: A large-scale hierarchical image database
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. Going deeper with convolutions
  9. Learning Multiple Layers of Features from Tiny Images
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers