Kevin J. Cannons

Computer Vision and Pattern Recognition · 2012–2013

A researcher in the Science corpus: 2 papers; trusts 85 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 21 citations into it; #18,150 of 21,575 by trust here, #16,367 by citations
• Artificial Intelligence — 15 citations into it

Whom Kevin J. Cannons trusts overall

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

1. Pedro F. Felzenszwalb
2. David A. Sontag
3. Ross B. Girshick
4. Andrea Vedaldi
5. Li Fei-Fei
6. Thorsten Joachims
7. Andrew Zisserman
8. Geoffrey E. Hinton
9. Alex Krizhevsky
10. Kaiming He

Who trusts Kevin J. Cannons overall

1. Jasper R. R. Uijlings
2. Antoine Miech
3. Jue Wang

Papers from Kevin J. Cannons's perspective

Ordered by how strongly the researchers Kevin J. Cannons 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. Gradient-based learning applied to document recognition
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

• Similarity Constrained Latent Support Vector Machine: An Application to Weakly Supervised Action Classification (2012) — 56 citations
• Compositional Models for Video Event Detection: A Multiple Kernel Learning Latent Variable Approach (2013) — 62 citations