Suya You

Computer Vision and Pattern Recognition · 2016–2018

A researcher in the Science corpus: 3 papers; trusts 402 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 56 citations into it; #10,954 of 21,575 by trust here, #12,172 by citations
• Artificial Intelligence — 32 citations into it
• Efficiency & Compression — 15 citations into it; #632 of 1,264 by trust here, #1,140 by citations
• Computational Mechanics — 13 citations into it; #3,027 of 10,001 by trust here, #2,715 by citations
• 3D Vision & Pose — 12 citations into it
• Generative Models — 12 citations into it
• Model Architectures — 12 citations into it
• Aerospace Engineering — 9 citations into it

Whom Suya You trusts overall

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

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

Who trusts Suya You overall

1. Alberto Garcia-Garcia
2. Gernot Riegler
3. Jiahui Yu
4. Yang He
5. Ankit Goyal
6. Sergio Orts
7. Yulan Guo
8. Jens Behley
9. Ali O. Ulusoy
10. Weiyue Wang

Papers from Suya You's perspective

Ordered by how strongly the researchers Suya You 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. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Shape Inpainting Using 3D Generative Adversarial Network and Recurrent Convolutional Networks (2017) — 186 citations
• Learning to Prune Filters in Convolutional Neural Networks (2018) — 186 citations
• Point cloud labeling using 3D Convolutional Neural Network (2016) — 355 citations