Mattias Wahde

Computer Vision and Pattern Recognition · 2017–2018

A researcher in the Science corpus: 3 papers; trusts 130 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 29 citations into it; #12,077 of 21,575 by trust here, #13,269 by citations
• Artificial Intelligence — 16 citations into it
• Automotive Engineering — 7 citations into it; #986 of 3,081 by trust here, #1,728 by citations
• Evaluation & Benchmarks — 6 citations into it
• Model Architectures — 6 citations into it
• Aerospace Engineering — 5 citations into it
• Optimization & Training — 5 citations into it

Whom Mattias Wahde trusts overall

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

1. Diederik P. Kingma
2. Fisher Yu
3. Geoffrey E. Hinton
4. Yann LeCun
5. Alex Krizhevsky
6. Yoshua Bengio
7. Ross B. Girshick
8. Kaiming He
9. Andreas Geiger
10. Evan Shelhamer

Who trusts Mattias Wahde overall

1. Zhangjing Wang
2. Luca Caltagirone

Papers from Mattias Wahde's perspective

Ordered by how strongly the researchers Mattias Wahde 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. Learning Multiple Layers of Features from Tiny Images

Their papers

• LIDAR-Camera Fusion for Road Detection Using Fully Convolutional Neural Networks (2018) — 345 citations
• Fast LIDAR-based road detection using fully convolutional neural networks (2017) — 213 citations
• LIDAR-based driving path generation using fully convolutional neural networks (2017) — 64 citations