Johannes Rückert
Computer Vision and Pattern Recognition · 2018
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 8 citations into it; #16,271 of 21,575 by trust here, #18,266 by citations
Whom Johannes Rückert trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Johannes Rückert overall
Papers from Johannes Rückert's perspective
Ordered by how strongly the researchers Johannes Rückert trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- ImageNet Large Scale Visual Recognition Challenge
- Microsoft COCO: Common Objects in Context
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Deep Learning
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
- ImageNet: A large-scale hierarchical image database
Their papers
- Radiology Objects in COntext (ROCO): A Multimodal Image Dataset (2018) — 337 citations