Xavier Perrotton

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 83 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 24 citations into it
• Automotive Engineering — 21 citations into it
• Artificial Intelligence — 16 citations into it
• Reinforcement Learning — 11 citations into it
• Control and Systems Engineering — 6 citations into it
• Robotics & Control — 6 citations into it

Whom Xavier Perrotton trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Geoffrey E. Hinton
4. Alexey Dosovitskiy
5. Felipe Codevilla
6. Diederik P. Kingma
7. Joseph Redmon
8. Yoshua Bengio
9. Ross B. Girshick
10. Yann LeCun

Papers from Xavier Perrotton's perspective

Ordered by how strongly the researchers Xavier Perrotton 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Conditional Vehicle Trajectories Prediction in CARLA Urban Environment (2019) — 17 citations
• End to End Vehicle Lateral Control Using a Single Fisheye Camera (2018) — 42 citations