Jean-Philippe Mercier

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 112 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 29 citations into it
• Aerospace Engineering — 12 citations into it
• Artificial Intelligence — 10 citations into it

Whom Jean-Philippe Mercier trusts overall

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

1. Kaiming He
2. Shaoqing Ren
3. Ross B. Girshick
4. Geoffrey E. Hinton
5. X. Zhang
6. Alex Krizhevsky
7. Jia Deng
8. Oriol Vinyals
9. Yoshua Bengio
10. Stefan Hinterstoißer

Who trusts Jean-Philippe Mercier overall

1. Ahmad Darkhalil

Papers from Jean-Philippe Mercier's perspective

Ordered by how strongly the researchers Jean-Philippe Mercier 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Deep Template-based Object Instance Detection (2021) — 31 citations