Amit Ashok

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 46 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Amit Ashok trusts overall

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

  1. E.J. Candes

Papers from Amit Ashok's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Fully convolutional networks for semantic segmentation
  5. Gradient-based learning applied to document recognition
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Caffe: Convolutional Architecture for Fast Feature Embedding
  8. ImageNet: A large-scale hierarchical image database
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Long Short-Term Memory

Their papers