Philip Lenz
Computer Vision and Pattern Recognition · 2012–2013
A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 6,058 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 26 citations into it; #329 of 21,575 by trust here, #579 by citations
- Aerospace Engineering — 11 citations into it; #11 of 6,421 by trust here, #23 by citations
- Evaluation & Benchmarks — 7 citations into it; #38 of 3,147 by trust here, #76 by citations
Whom Philip Lenz trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Philip Lenz overall
- Andreas Geiger
- Raquel Urtasun
- Sanja Fidler
- Dinesh Jayaraman
- Vladlen Koltun
- Kristen Grauman
- Bo Li
- Ishan Misra
- Binh Yang
- Xiaogang Wang
Papers from Philip Lenz's perspective
Ordered by how strongly the researchers Philip Lenz 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Are we ready for autonomous driving? The KITTI vision benchmark suite (2012) — 15,381 citations
- Vision meets robotics: The KITTI dataset (2013) — 10,594 citations