Shuo Yang

Computer Vision and Pattern Recognition · 9 papers · 2014–2019

A researcher in the Science corpus: 9 papers; trusts 1,075 researchers and is trusted by 408 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 350 citations into it; #2,066 of 21,575 by trust here, #1,468 by citations
• Artificial Intelligence — 128 citations into it; #19,588 of 35,345 by trust here, #4,018 by citations
• Model Architectures — 36 citations into it
• Signal Processing — 24 citations into it; #2,397 of 7,572 by trust here, #2,343 by citations
• Representation & Self-Supervised Learning — 23 citations into it
• Aerospace Engineering — 19 citations into it
• Evaluation & Benchmarks — 15 citations into it; #854 of 3,147 by trust here, #1,334 by citations
• Optimization & Training — 7 citations into it

Whom Shuo Yang trusts overall

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

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

Who trusts Shuo Yang overall

1. Yancheng Bai
2. Huaizu Jiang
3. Jiankang Deng
4. Alessandro Achille
5. Yongqiang Zhang
6. Rajeev Ranjan
7. Dimitrios Kollias
8. Shifeng Zhang
9. Bernard Ghanem
10. Zhaowei Cai

Papers from Shuo Yang's perspective

Ordered by how strongly the researchers Shuo Yang 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. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
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. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Residual Attention Network for Image Classification (2017) — 3,644 citations
• DeepID-Net: multi-stage and deformable deep convolutional neural networks for object detection (2014) — 165 citations
• WIDER FACE: A Face Detection Benchmark (2015) — 1,809 citations
• Region Proposal by Guided Anchoring (2019) — 609 citations
• DeepID-Net: Deformable deep convolutional neural networks for object detection (2014) — 450 citations
• From Facial Parts Responses to Face Detection: A Deep Learning Approach (2015) — 590 citations
• Look at Boundary: A Boundary-Aware Face Alignment Algorithm (2018) — 511 citations
• DeepID-Net: Object Detection with Deformable Part Based Convolutional Neural Networks (2017) — 134 citations
• Deep Representation Learning with Target Coding (2015) — 68 citations