R. Desai

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 R. Desai 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 R. Desai's perspective

Ordered by how strongly the researchers R. Desai 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 Large Scale Visual Recognition Challenge
  3. ImageNet: A large-scale hierarchical image database
  4. Aggregated Residual Transformations for Deep Neural Networks
  5. ImageNet classification with deep convolutional neural networks
  6. mixup: Beyond Empirical Risk Minimization
  7. Towards Deep Learning Models Resistant to Adversarial Attacks
  8. Gradient-based learning applied to document recognition
  9. Exploring the Limits of Weakly Supervised Pretraining
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers