Alex Bewley
Computer Vision and Pattern Recognition · with Wojke · 2016–2018
A researcher in the Science corpus: 3 papers; trusts 358 researchers and is trusted by 61 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 63 citations into it; #3,887 of 21,575 by trust here, #5,082 by citations
- Artificial Intelligence — 26 citations into it
- Representation & Self-Supervised Learning — 9 citations into it
- Signal Processing — 8 citations into it
- Biomedical Engineering — 6 citations into it; #5,990 of 10,734 by trust here, #9,539 by citations
- Model Architectures — 6 citations into it; #925 of 2,278 by trust here, #1,168 by citations
- Evaluation & Benchmarks — 5 citations into it
- Optimization & Training — 5 citations into it
Whom Alex Bewley trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Karen Simonyan
- Diederik P. Kingma
- Geoffrey E. Hinton
- Alex Krizhevsky
- Kaiming He
- Andrew Zisserman
- Matthew D. Zeiler
- Piotr Doll'ar
- Yann LeCun
- Ross B. Girshick
Who trusts Alex Bewley overall
- Xingyi Zhou
- Pei Sun
- Xinshuo Weng
- Yifu Zhang
- Nicolai Wojke
- Jinkun Cao
- Nir Aharon
- Kris M. Kitani
- Gerard Maggiolino
- Zhongdao Wang
Papers from Alex Bewley's perspective
Ordered by how strongly the researchers Alex Bewley 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
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Simple online and realtime tracking (2016) — 4,063 citations
- Simple online and realtime tracking with a deep association metric (2017) — 4,744 citations
- Deep Cosine Metric Learning for Person Re-identification (2018) — 402 citations