Vitali Petsiuk

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 297 researchers and is trusted by 23 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 21 citations into it; #6,677 of 21,575 by trust here, #10,334 by citations
• Artificial Intelligence — 15 citations into it; #9,543 of 35,345 by trust here, #15,236 by citations
• Safety, Robustness & Interpretability — 9 citations into it; #642 of 2,251 by trust here, #1,329 by citations

Whom Vitali Petsiuk trusts overall

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

1. Karen Simonyan
2. Kaiming He
3. Geoffrey E. Hinton
4. Andrew Zisserman
5. Alex Krizhevsky
6. Matthew D. Zeiler
7. Yoshua Bengio
8. Yann LeCun
9. Diederik P. Kingma
10. Ross B. Girshick

Who trusts Vitali Petsiuk overall

1. Alvin Wan
2. Gesina Schwalbe
3. Arun Das
4. Wojciech Samek
5. Ian Covert
6. Dasom Seo
7. Ruth C. Fong
8. Lev V. Utkin
9. Pantelis Linardatos
10. Juyeon Heo

Papers from Vitali Petsiuk's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
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

• RISE: Randomized Input Sampling for Explanation of Black-box Models (2018) — 1,552 citations