Ashton Fagg
Computer Vision and Pattern Recognition · 2017
A researcher in the Science corpus: 2 papers; trusts 396 researchers and is trusted by 27 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 60 citations into it; #4,952 of 21,575 by trust here, #6,737 by citations
- Artificial Intelligence — 6 citations into it
- Aerospace Engineering — 5 citations into it
- Global and Planetary Change — 5 citations into it; #1,724 of 10,225 by trust here, #3,919 by citations
Whom Ashton Fagg trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Martin Danelljan
- Alex Krizhevsky
- Karen Simonyan
- Yi Wu
- Chao Ma
- Geoffrey E. Hinton
- Navneet Dalal
- Kaiming He
- Andrew Zisserman
- Gustav Häger
Who trusts Ashton Fagg overall
- Goutam Bhat
- Martin Danelljan
- Luc Van Gool
- Heng Fan
- Lianghua Huang
- Christoph Mayer
- Xin Chen
- Ning Wang
- Radu Timofte
- Yiming Li
Papers from Ashton Fagg's perspective
Ordered by how strongly the researchers Ashton Fagg 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)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Long Short-Term Memory
- Going deeper with convolutions
Their papers
- Learning Background-Aware Correlation Filters for Visual Tracking (2017) — 1,139 citations
- Need for Speed: A Benchmark for Higher Frame Rate Object Tracking (2017) — 506 citations