Guang Shu

Computer Vision and Pattern Recognition · 2012–2017

A researcher in the Science corpus: 2 papers; trusts 46 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 28 citations into it; #21,060 of 21,575 by trust here, #12,992 by citations
• Artificial Intelligence — 12 citations into it

Whom Guang Shu trusts overall

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

1. J. Platt
2. Ramkant Nevatia
3. Bo Wu
4. Pedro F. Felzenszwalb
5. Ben Benfold
6. Li Zhang
7. Stefano Pellegrini
8. Cheng-Hao Kuo
9. William Brendel
10. Ross B. Girshick

Who trusts Guang Shu overall

1. Seung-Hwan Bae
2. Jan Hendrik Hosang
3. Amir Sadeghian
4. Amir Zamir
5. Lalit P. Jain
6. Shijie Sun
7. Wenhan Luo
8. Afshin Dehghan
9. Kuk-jin Yoon
10. Mubarak Shah

Papers from Guang Shu's perspective

Ordered by how strongly the researchers Guang Shu 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. ImageNet: A large-scale hierarchical image database
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Part-based multiple-person tracking with partial occlusion handling (2012) — 370 citations
• DAGER: Deep Age, Gender and Emotion Recognition Using Convolutional Neural Network (2017) — 104 citations