Jason Anastasopoulos

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jason Anastasopoulos trusts

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

  1. Davis E. King (in Artificial Intelligence)
  2. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  3. Kaiming He (in Computer Vision and Pattern Recognition)
  4. X. Zhang (in Computer Vision and Pattern Recognition)

Papers from Jason Anastasopoulos's perspective

Ordered by how strongly the researchers Jason Anastasopoulos 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Deep Learning Face Attributes in the Wild
  4. International Journal of Computer Vision manuscript No. (will be inserted by the editor) The PASCAL Visual Object Classes (VOC) Challenge
  5. ImageNet classification with deep convolutional neural networks
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  9. Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization
  10. Learning Multiple Layers of Features from Tiny Images

Their papers