Johan Verjans
Artificial Intelligence · 2010–2021
A researcher in the Science corpus: 2 papers; trusts 27 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 37 citations into it
- Computer Vision and Pattern Recognition — 27 citations into it
- Computer Networks and Communications — 11 citations into it
- Biomedical Engineering — 6 citations into it
Whom Johan Verjans trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Johan Verjans's perspective
Ordered by how strongly the researchers Johan Verjans trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Going deeper with convolutions
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning (2021) — 542 citations
- Myocardial remodeling after infarction: the role of myofibroblasts (2010) — 758 citations