Matt Rusiniak

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 37 citations into it; #21,304 of 21,575 by trust here, #15,529 by citations

Whom Matt Rusiniak trusts

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

1. Ross B. Girshick (in Computer Vision and Pattern Recognition)
2. Kaiming He (in Computer Vision and Pattern Recognition)
3. Piotr Doll'ar (in Computer Vision and Pattern Recognition)

Who trusts Matt Rusiniak

1. Sergey I. Nikolenko (in Computer Vision and Pattern Recognition)

Papers from Matt Rusiniak's perspective

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

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

Their papers

• Meta-Sim: Learning to Generate Synthetic Datasets (2019) — 279 citations