Suchendra Bhandarkar

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Suchendra Bhandarkar trusts

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

  1. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  2. Geoffrey E. Hinton (in Artificial Intelligence)

Papers from Suchendra Bhandarkar's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. ImageNet Large Scale Visual Recognition Challenge
  3. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  4. Distilling the Knowledge in a Neural Network (arXiv.org)
  5. Caffe: Convolutional Architecture for Fast Feature Embedding
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Gradient-based learning applied to document recognition
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Appearance-based gaze estimation in the wild
  10. Long Short-Term Memory

Their papers