Simon Hecker
Computer Vision and Pattern Recognition · 2018
A researcher in the Science corpus: 2 papers; trusts 256 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 66 citations into it; #11,653 of 21,575 by trust here, #11,083 by citations
- Artificial Intelligence — 21 citations into it
- Signal Processing — 5 citations into it
Whom Simon Hecker trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Alex Krizhevsky
- Ross B. Girshick
- Jia Deng
- Yoshua Bengio
- Yann LeCun
- Shaoqing Ren
- Jeff Donahue
- Ilya Sutskever
Who trusts Simon Hecker overall
- Dengxin Dai
- Alexander Amini
- Yen-Cheng Liu
- Sorin Mihai Grigorescu
- Anuj Pareek
- Sampo Kuutti
- Ardi Tampuu
- Christos Sakaridis
- Luc Van Gool
- Ming-Fang Chang
Papers from Simon Hecker's perspective
Ordered by how strongly the researchers Simon Hecker 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
Their papers
- Model Adaptation with Synthetic and Real Data for Semantic Dense Foggy Scene Understanding (2018) — 289 citations
- End-to-End Learning of Driving Models with Surround-View Cameras and Route Planners (2018) — 179 citations