Dimos Tzoumanikas

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Dimos Tzoumanikas trusts overall

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

  1. Martin Rünz
  2. Kaiming He
  3. Thomas Whelan
  4. John McCormac

Papers from Dimos Tzoumanikas's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Mask R-CNN
  4. Indoor Segmentation and Support Inference from RGBD Images
  5. ImageNet: A large-scale hierarchical image database
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers