Ron Appel

Computer Vision and Pattern Recognition · 2012–2014

A researcher in the Science corpus: 2 papers; trusts 258 researchers and is trusted by 1,087 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 56 citations into it; #1,286 of 21,575 by trust here, #3,875 by citations
• Artificial Intelligence — 18 citations into it
• Media Technology — 6 citations into it; #383 of 3,621 by trust here, #291 by citations

Whom Ron Appel trusts overall

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

1. Piotr Doll'ar
2. Jerome H. Friedman
3. Navneet Dalal
4. Pedro F. Felzenszwalb
5. David G. Lowe
6. Ross B. Girshick
7. Pietro Perona
8. Christian Wojek
9. Paul A. Viola
10. Alex Krizhevsky

Who trusts Ron Appel overall

1. Wanli Ouyang
2. Xiaogang Wang
3. Junjie Yan
4. Rodrigo Benenson
5. Wongun Choi
6. Zhaowei Cai
7. Shanshan Zhang
8. Xiaodan Liang
9. Piotr Doll'ar
10. Tao Kong

Papers from Ron Appel's perspective

Ordered by how strongly the researchers Ron Appel 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. Gradient-based learning applied to document recognition
4. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
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

• Fast Feature Pyramids for Object Detection (2014) — 2,014 citations
• Crosstalk Cascades for Frame-Rate Pedestrian Detection (2012) — 265 citations