Fengbo Ren

Computer Vision and Pattern Recognition · 2020

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 Fengbo Ren trusts

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

  1. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  2. Kaiming He (in Computer Vision and Pattern Recognition)
  3. Piotr Doll'ar (in Computer Vision and Pattern Recognition)

Papers from Fengbo Ren's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. ImageNet: A large-scale hierarchical image database
  3. Mask R-CNN
  4. Categorical Reparameterization with Gumbel-Softmax
  5. Feature Pyramid Networks for Object Detection
  6. Squeeze-and-Excitation Networks
  7. MMDetection: Open MMLab Detection Toolbox and Benchmark
  8. Fast Algorithms for Convolutional Neural Networks
  9. REBAR: Low-variance, unbiased gradient estimates for discrete latent variable models
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers