Ilya A. Petrov

Computer Vision and Pattern Recognition · 2020–2022

A researcher in the Science corpus: 3 papers; trusts 595 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 120 citations into it; #12,237 of 21,575 by trust here, #12,689 by citations
• Computational Mechanics — 23 citations into it
• Evaluation & Benchmarks — 18 citations into it
• Artificial Intelligence — 16 citations into it
• Human-Computer Interaction — 10 citations into it
• Computer Graphics and Computer-Aided Design — 7 citations into it

Whom Ilya A. Petrov trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Tsung-Yi Lin
6. Karen Simonyan
7. Yann LeCun
8. Diederik P. Kingma
9. Andrew Zisserman
10. Leo J. Grady

Who trusts Ilya A. Petrov overall

1. Qin Liu
2. Xi Chen
3. J. Liew
4. Konstantin Sofiiuk
5. Maciej A. Mazurowski
6. Theodora Kontogianni
7. Zhiyan Zhao
8. Zheng Lin

Papers from Ilya A. Petrov's perspective

Ordered by how strongly the researchers Ilya A. Petrov 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. ImageNet: A large-scale hierarchical image database
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• F-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation (2020) — 237 citations
• Reviving Iterative Training with Mask Guidance for Interactive Segmentation (2021) — 294 citations
• BEHAVE: Dataset and Method for Tracking Human Object Interactions (2022) — 317 citations