Chloé Rolland

Computer Vision and Pattern Recognition · 2023–2024

A researcher in the Science corpus: 2 papers; trusts 108 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Chloé Rolland trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Tsung-Yi Lin
  6. Shaoqing Ren
  7. Yoshua Bengio
  8. Yann LeCun
  9. Piotr Doll'ar
  10. Diederik P. Kingma

Papers from Chloé Rolland's perspective

Ordered by how strongly the researchers Chloé Rolland 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 classification with deep convolutional neural networks
  3. Attention is All you Need (Neural Information Processing Systems)
  4. ImageNet: A large-scale hierarchical image database
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Microsoft COCO: Common Objects in Context
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation

Their papers