Jan Ernst
Computer Vision and Pattern Recognition · 2017–2019
A researcher in the Science corpus: 3 papers; trusts 363 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 82 citations into it; #20,416 of 21,575 by trust here, #6,326 by citations
- Artificial Intelligence — 32 citations into it; #33,333 of 35,345 by trust here, #9,369 by citations
- Safety, Robustness & Interpretability — 14 citations into it
- Evaluation & Benchmarks — 12 citations into it
- Model Architectures — 10 citations into it
- Biophysics — 5 citations into it
Whom Jan Ernst trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Karen Simonyan
- Geoffrey E. Hinton
- Yann LeCun
- Alex Krizhevsky
- Yoshua Bengio
- Andrew Zisserman
- Kaiming He
- Diederik P. Kingma
- Ross B. Girshick
- Ilya Sutskever
Who trusts Jan Ernst overall
Papers from Jan Ernst's perspective
Ordered by how strongly the researchers Jan Ernst trusts endorse each paper. Same corpus, a different order for every researcher.
- 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
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Tell Me Where to Look: Guided Attention Inference Network (2018) — 568 citations
- Counterfactual Visual Explanations (2019) — 596 citations
- DepthSynth: Real-Time Realistic Synthetic Data Generation from CAD Models for 2.5D Recognition (2017) — 73 citations