Christopher Funk

Computer Vision and Pattern Recognition · 2017–2022

A researcher in the Science corpus: 2 papers; trusts 493 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 62 citations into it; #20,441 of 21,575 by trust here, #18,266 by citations
• Artificial Intelligence — 32 citations into it
• Media Technology — 19 citations into it
• Model Architectures — 13 citations into it

Whom Christopher Funk trusts overall

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

1. Kaiming He
2. Karen Simonyan
3. Liang-Chieh Chen
4. Alex Krizhevsky
5. Geoffrey E. Hinton
6. Andrew Zisserman
7. Ross B. Girshick
8. Piotr Doll'ar
9. Matthew D. Zeiler
10. Evan Shelhamer

Who trusts Christopher Funk overall

1. Ali Borji

Papers from Christopher Funk's perspective

Ordered by how strongly the researchers Christopher Funk 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. ImageNet: A large-scale hierarchical image database
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
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

• Beyond Planar Symmetry: Modeling Human Perception of Reflection and Rotation Symmetries in the Wild (2017) — 43 citations
• Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learning (2022) — 417 citations