Johannes Gilg

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 14 citations into it
• Biomedical Engineering — 11 citations into it

Whom Johannes Gilg trusts overall

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

1. Shiqi Yu

Papers from Johannes Gilg's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Microsoft COCO: Common Objects in Context
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Going deeper with convolutions
5. Gradient-based learning applied to document recognition
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. ImageNet: A large-scale hierarchical image database
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Gaitgraph: Graph Convolutional Network for Skeleton-Based Gait Recognition (2021) — 308 citations