M. Tyszkiewicz

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 126 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 30 citations into it
• Aerospace Engineering — 18 citations into it
• Artificial Intelligence — 5 citations into it

Whom M. Tyszkiewicz trusts overall

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

1. David G. Lowe
2. Relja Arandjelovi'c
3. Ronald J. Williams
4. Andrew Zisserman
5. Diederik P. Kingma
6. Christopher Evans
7. Krystian Mikolajczyk
8. Yurun Tian
9. Ondřej Chum
10. Johannes L. Schönberger

Who trusts M. Tyszkiewicz overall

1. Jiaming Sun
2. Zehong Shen

Papers from M. Tyszkiewicz's perspective

Ordered by how strongly the researchers M. Tyszkiewicz 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. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet Large Scale Visual Recognition Challenge
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Distinctive Image Features from Scale-Invariant Keypoints
10. Long Short-Term Memory

Their papers

• DISK: Learning local features with policy gradient (2020) — 600 citations