Roberto Hirata Junior

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 Roberto Hirata Junior trusts

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

  1. Kaiming He (in Computer Vision and Pattern Recognition)
  2. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  3. Shaoqing Ren (in Computer Vision and Pattern Recognition)

Papers from Roberto Hirata Junior's perspective

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

  1. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
  2. SSD: Single Shot MultiBox Detector
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Restoring an Image Taken through a Window Covered with Dirt or Rain
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks

Their papers