Jean Charles Bazin

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 67 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 37 citations into it
• Artificial Intelligence — 29 citations into it
• Model Architectures — 14 citations into it

Whom Jean Charles Bazin trusts overall

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

1. Kaiming He
2. Alex Krizhevsky
3. Ross B. Girshick
4. Christian Szegedy

Papers from Jean Charles Bazin's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet: A large-scale hierarchical image database
4. Going deeper with convolutions
5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
8. Histograms of oriented gradients for human detection
9. Microsoft COCO: Common Objects in Context
10. Gradient-based learning applied to document recognition

Their papers

• ResNet or DenseNet? Introducing Dense Shortcuts to ResNet (2020) — 153 citations