Sheng Guo

Computer Vision and Pattern Recognition · with Huang · 2016–2020

A researcher in the Science corpus: 4 papers; trusts 510 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 110 citations into it
• Artificial Intelligence — 69 citations into it
• Model Architectures — 27 citations into it
• Evaluation & Benchmarks — 17 citations into it
• Optimization & Training — 10 citations into it
• Media Technology — 5 citations into it

Whom Sheng Guo trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Christian Szegedy
4. Alex Krizhevsky
5. Ross B. Girshick
6. Karen Simonyan
7. Sergey Ioffe
8. Jia Deng
9. Andrew Zisserman
10. Yoshua Bengio

Who trusts Sheng Guo overall

1. Eden Belouadah
2. Lu Jiang
3. Luchen Liu
4. Davood Karimi
5. Yasufumi Moriya
6. Amita Kamath
7. Adrian Daniel Popescu
8. Di Huang
9. Luis Villaseñor Pineda
10. Jianping Gou

Papers from Sheng Guo's perspective

Ordered by how strongly the researchers Sheng Guo 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

• CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images (2018) — 383 citations
• Knowledge Guided Disambiguation for Large-Scale Scene Classification With Multi-Resolution CNNs (2016) — 158 citations
• Decoupling Category-wise Independence and Relevance with Self-attention for Multi-label Image Classification (2019) — 13 citations
• Knowledge Integration Networks for Action Recognition (2020) — 22 citations