Jimson Mathew

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jimson Mathew trusts

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

  1. Bradley McDanel (in Computer Vision and Pattern Recognition)
  2. Surat Teerapittayanon (in Computer Vision and Pattern Recognition)
  3. H. T. Kung (in Computer Vision and Pattern Recognition)

Papers from Jimson Mathew's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Going deeper with convolutions
  3. Conditional Deep Learning for energy-efficient and enhanced pattern recognition
  4. BranchyNet: Fast inference via early exiting from deep neural networks
  5. Eyeriss: An Energy-Efficient Reconfigurable Accelerator for Deep Convolutional Neural Networks
  6. Optimizing FPGA-based Accelerator Design for Deep Convolutional Neural Networks
  7. YodaNN: An Ultra-Low Power Convolutional Neural Network Accelerator Based on Binary Weights
  8. Gradient-based learning applied to document recognition
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers