Nico Engel
Computer Vision and Pattern Recognition · 2020
A researcher in the Science corpus: 1 paper; trusts 61 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 26 citations into it; #13,858 of 21,575 by trust here, #7,584 by citations
- Computational Mechanics — 20 citations into it; #6,210 of 10,001 by trust here, #1,778 by citations
- Geology — 14 citations into it; #442 of 687 by trust here, #163 by citations
- Artificial Intelligence — 12 citations into it
- Model Architectures — 11 citations into it
- Aerospace Engineering — 9 citations into it
- 3D Vision & Pose — 6 citations into it
- Environmental Engineering — 5 citations into it
Whom Nico Engel trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Charles Ruizhongtai Qi
- Geoffrey E. Hinton
- Yoshua Bengio
- Kaiming He
- Dzmitry Bahdanau
- Alex Krizhevsky
- Diederik P. Kingma
- Yann LeCun
- Ilya Sutskever
- Daniel Maturana
Who trusts Nico Engel overall
- Rohit Girdhar
- Ishan Misra
- Shengju Qian
- Xu Ma
- Zheng Qin
- Salman Hameed Khan
- Xiaoyang Wu
- Jonas Schult
- Yatian Pang
- Hualian Sheng
Papers from Nico Engel's perspective
Ordered by how strongly the researchers Nico Engel 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)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Point Transformer (2020) — 3,096 citations