Ivan Ustyuzhaninov

Computer Vision and Pattern Recognition · 2018–2020

A researcher in the Science corpus: 4 papers; trusts 749 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 169 citations into it
• Artificial Intelligence — 92 citations into it
• Representation & Self-Supervised Learning — 64 citations into it
• Generative Models — 26 citations into it
• Meta & Continual Learning — 17 citations into it
• Evaluation & Benchmarks — 14 citations into it
• Probabilistic & Bayesian Methods — 13 citations into it
• Cognitive Neuroscience — 12 citations into it

Whom Ivan Ustyuzhaninov trusts overall

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

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

Who trusts Ivan Ustyuzhaninov overall

1. Axel Sauer
2. Dan Andrei Ganea

Papers from Ivan Ustyuzhaninov's perspective

Ordered by how strongly the researchers Ivan Ustyuzhaninov 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. ImageNet: A large-scale hierarchical image database
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
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

• Towards causal generative scene models via competition of experts (2020) — 54 citations
• Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding (2020) — 160 citations
• One-shot Texture Segmentation (2018) — 18 citations
• One-Shot Instance Segmentation (2018) — 99 citations