Tobias Lorenz
Computer Vision and Pattern Recognition · 2017
A researcher in the Science corpus: 1 paper; trusts 165 researchers and is trusted by 14 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 33 citations into it; #8,095 of 21,575 by trust here, #7,938 by citations
- Artificial Intelligence — 25 citations into it; #12,238 of 35,345 by trust here, #11,327 by citations
- Generative Models — 14 citations into it
- Radiology, Nuclear Medicine and Imaging — 11 citations into it; #650 of 3,265 by trust here, #984 by citations
- Representation & Self-Supervised Learning — 10 citations into it; #1,448 of 3,145 by trust here, #1,507 by citations
Whom Tobias Lorenz trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Yoshua Bengio
- Alex Krizhevsky
- Ilya Sutskever
- Zeynep Akata
- Diederik P. Kingma
- Yann LeCun
- Tomas Mikolov
- Ross B. Girshick
Who trusts Tobias Lorenz overall
- Kun-Juan Wei
- Edgar Schönfeld
- Xin Wang
- Yongqin Xian
- Mert Bulent Sariyildiz
- Peirong Ma
- Ashish Mishra
- Shafin Rahman
- Ali Cheraghian
- Vinay Kumar Verma
Papers from Tobias Lorenz's perspective
Ordered by how strongly the researchers Tobias Lorenz trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- 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
- Feature Generating Networks for Zero-Shot Learning (2017) — 1,041 citations