Thibault Buhet

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 69 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 18 citations into it
• Automotive Engineering — 15 citations into it
• Artificial Intelligence — 10 citations into it
• Reinforcement Learning — 8 citations into it
• Robotics & Control — 5 citations into it

Whom Thibault Buhet trusts overall

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

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

Papers from Thibault Buhet's perspective

Ordered by how strongly the researchers Thibault Buhet 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. ImageNet: A large-scale hierarchical image database
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
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

• Conditional Vehicle Trajectories Prediction in CARLA Urban Environment (2019) — 17 citations