Frank Weichert

Computer Vision and Pattern Recognition · 2013–2017

A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 16 citations into it; #9,212 of 21,575 by trust here, #10,154 by citations
• Graph Learning — 12 citations into it; #308 of 693 by trust here, #366 by citations
• Computational Mechanics — 11 citations into it
• Artificial Intelligence — 10 citations into it; #14,195 of 35,345 by trust here, #15,004 by citations

Whom Frank Weichert trusts overall

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

1. Kourosh Khoshelham
2. Yann LeCun
3. Davide Boscaini
4. Sander Oude Elberink
5. Michael M. Bronstein
6. Jonathan Masci
7. K. Smith‐Miles
8. Prithviraj Sen
9. Simon S. Haykin
10. Federico Monti

Who trusts Frank Weichert overall

1. Matthias Fey
2. Filippo Maria Bianchi
3. L. Zampieri
4. Yue Wang
5. Jan Eric Lenssen

Papers from Frank Weichert's perspective

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

1. Gradient-based learning applied to document recognition
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet: A large-scale hierarchical image database
7. GradientBased Learning Applied to Document Recognition
8. Attention is All you Need (Neural Information Processing Systems)
9. Going deeper with convolutions
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• SplineCNN: Fast Geometric Deep Learning with Continuous B-Spline Kernels (2017) — 511 citations
• Analysis of the Accuracy and Robustness of the Leap Motion Controller (2013) — 986 citations