Artem Sevastopolsky

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 125 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 9 citations into it
• Ophthalmology — 7 citations into it; #47 of 222 by trust here, #187 by citations
• Radiology, Nuclear Medicine and Imaging — 7 citations into it; #1,033 of 3,265 by trust here, #3,008 by citations

Whom Artem Sevastopolsky trusts overall

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

1. Richard Szeliski
2. Karen Simonyan
3. Ilya Sutskever
4. Huiqi Li
5. Evan Shelhamer
6. Olaf Ronneberger
7. Geoffrey E. Hinton
8. Julian Georg Zilly
9. Andrew Zisserman
10. Kevis-Kokitsi Maninis

Who trusts Artem Sevastopolsky overall

1. Huan Fu
2. Jun Cheng
3. Yao Zhou
4. Yanwu Xu
5. Zaiwang Gu
6. Shuanglang Feng

Papers from Artem Sevastopolsky's perspective

Ordered by how strongly the researchers Artem Sevastopolsky 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. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Optic disc and cup segmentation methods for glaucoma detection with modification of U-Net convolutional neural network (2017) — 405 citations