Ivan Skorokhodov

Computer Vision and Pattern Recognition · 2020–2023

A researcher in the Science corpus: 3 papers; trusts 463 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 148 citations into it; #18,604 of 21,575 by trust here, #9,872 by citations
• Artificial Intelligence — 54 citations into it
• Generative Models — 49 citations into it
• Computer Graphics and Computer-Aided Design — 43 citations into it; #1,338 of 1,584 by trust here, #566 by citations
• Representation & Self-Supervised Learning — 12 citations into it
• Model Architectures — 11 citations into it
• Radiology, Nuclear Medicine and Imaging — 11 citations into it
• Evaluation & Benchmarks — 8 citations into it

Whom Ivan Skorokhodov trusts overall

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

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

Who trusts Ivan Skorokhodov overall

1. Subhankar Ghosh
2. Songwei Ge
3. Chandan Gautam
4. Yin-Yin He
5. Yu-Quan Wang
6. Haoxin Chen
7. Anthony Hu
8. Haoning Zhu
9. Yong Zhang
10. Sethupathy Parameswaran

Papers from Ivan Skorokhodov's perspective

Ordered by how strongly the researchers Ivan Skorokhodov 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. Attention is All you Need (Neural Information Processing Systems)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• StyleGAN-V: A Continuous Video Generator with the Price, Image Quality and Perks of StyleGAN2 (2021) — 390 citations
• Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors (2023) — 475 citations
• Normalization Matters in Zero-Shot Learning (2020) — 5 citations