Ben Chandler

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 42 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 9 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom Ben Chandler trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. George A. Miller
2. Antonio Torralba
3. Alex Krizhevsky
4. Yann LeCun
5. Derek Hoiem
6. Geoffrey E. Hinton
7. Ilya Sutskever
8. Rob Fergus
9. L. Eon Bottou
10. Yoshua Bengio

Papers from Ben Chandler's perspective

Ordered by how strongly the researchers Ben Chandler trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet: A large-scale hierarchical image database
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Going deeper with convolutions
9. Learning Multiple Layers of Features from Tiny Images
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Mitigation of Effects of Occlusion on Object Recognition with Deep Neural Networks through Low-Level Image Completion (2016) — 15 citations