Maksym Ivashechkin

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 16 citations into it
• Aerospace Engineering — 7 citations into it

Whom Maksym Ivashechkin trusts overall

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

1. David G. Lowe
2. Philip H. S. Torr
3. Daniel Barath
4. Jiri Matas
5. Ondřej Chum
6. Marius Muja
7. Kyle Wilson

Papers from Maksym Ivashechkin's perspective

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

1. Object recognition from local scale-invariant features
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Are we ready for autonomous driving? The KITTI vision benchmark suite
4. ImageNet classification with deep convolutional neural networks
5. ImageNet: A large-scale hierarchical image database
6. Multiple View Geometry in Computer Vision
7. Gradient-based learning applied to document recognition
8. Going deeper with convolutions
9. ImageNet Large Scale Visual Recognition Challenge
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• MAGSAC++, a Fast, Reliable and Accurate Robust Estimator (2019) — 363 citations