T. Melano

Computer Vision and Pattern Recognition · 2016–2017

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

Subfields

Whom T. Melano trusts

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

  1. Alex Krizhevsky (in Computer Vision and Pattern Recognition)

Papers from T. Melano's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Learning Multiple Layers of Features from Tiny Images
  3. Going deeper with convolutions
  4. Improving neural networks by preventing co-adaptation of feature detectors
  5. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
  6. Network In Network
  7. Striving for Simplicity: The All Convolutional Net
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. cuDNN: Efficient Primitives for Deep Learning
  10. Gradient-based learning applied to document recognition

Their papers