Christopher Ellis

Computer Vision and Pattern Recognition · 2011–2012

A researcher in the Science corpus: 2 papers; trusts 100 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 41 citations into it; #10,925 of 21,575 by trust here, #8,021 by citations
• Artificial Intelligence — 12 citations into it; #17,400 of 35,345 by trust here, #11,490 by citations
• Biomedical Engineering — 9 citations into it
• Human-Computer Interaction — 9 citations into it

Whom Christopher Ellis trusts overall

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

1. Paul A. Viola
2. Jerome H. Friedman
3. Pedro F. Felzenszwalb
4. Jingen Liu
5. Ross B. Girshick
6. John D. Lafferty
7. Deva Ramanan
8. Leonid Sigal
9. Weilong Yang
10. Yuri Boykov

Who trusts Christopher Ellis overall

1. Xinbo Jiang
2. Fei Han
3. Hao Zhang
4. Xiaodong Yang
5. Liliana Lo Presti
6. Terrance Devries
7. Boulbaba Ben Amor
8. Mihai Zanfir
9. Weijia Zou
10. Igor Kviatkovsky

Papers from Christopher Ellis's perspective

Ordered by how strongly the researchers Christopher Ellis 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Exploring the Trade-off Between Accuracy and Observational Latency in Action Recognition (2012) — 256 citations
• Measuring and reducing observational latency when recognizing actions (2011) — 37 citations