Justin Talbot
Computer Vision and Pattern Recognition · 2009
A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 9 citations into it; #16,609 of 21,575 by trust here, #12,992 by citations
- Artificial Intelligence — 6 citations into it
Whom Justin Talbot trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kristen Grauman
- Li Fei-Fei
- Trevor Darrell
- Rob Fergus
- Mark Meyer
- Pietro Perona
- Geoffrey E. Hinton
- Andrew Zisserman
- Alex Krizhevsky
- David G. Lowe
Who trusts Justin Talbot overall
- Biye Jiang
- Saleema Amershi
- Todd Kulesza
- Eduardo Mosqueira-Rey
- Bilal Alsallakh
- James Wexler
- Yao Ming
- John F. Canny
- Maya Cakmak
- Elena Hernández-Pereira
Papers from Justin Talbot's perspective
Ordered by how strongly the researchers Justin Talbot 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
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge