Anthony B. Costa

Computer Vision and Pattern Recognition · 2018–2021

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

Subfields

Whom Anthony B. Costa trusts

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

  1. Peter M. Rothwell (in Statistics and Probability)
  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 Anthony B. Costa's perspective

Ordered by how strongly the researchers Anthony B. Costa 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. Gradient-based learning applied to document recognition
  3. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  4. ImageNet Large Scale Visual Recognition Challenge
  5. ImageNet classification with deep convolutional neural networks
  6. Understanding deep learning requires rethinking generalization
  7. Long Short-Term Memory
  8. TensorFlow: A system for large-scale machine learning
  9. ImageNet: A large-scale hierarchical image database
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers