Shi Guo

Computer Vision and Pattern Recognition · 2018–2022

A researcher in the Science corpus: 3 papers; trusts 473 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 114 citations into it; #9,968 of 21,575 by trust here, #9,872 by citations
• Media Technology — 54 citations into it; #1,796 of 3,621 by trust here, #1,002 by citations
• Artificial Intelligence — 24 citations into it
• Model Architectures — 16 citations into it
• Computational Mechanics — 9 citations into it
• Evaluation & Benchmarks — 8 citations into it
• Optimization & Training — 7 citations into it

Whom Shi Guo trusts overall

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

1. Diederik P. Kingma
2. Kaiming He
3. Geoffrey E. Hinton
4. Karen Simonyan
5. Sergey Ioffe
6. Alex Krizhevsky
7. Christian Szegedy
8. Jimmy Ba
9. Yoshua Bengio
10. Ross B. Girshick

Who trusts Shi Guo overall

1. Syed Waqas Zamir
2. Haokui Zhang
3. Aditya Arora
4. Saeed Anwar
5. Tobias Plötz
6. Chong Mou
7. Salman Hameed Khan
8. Chunwei Tian
9. Feifan Lv
10. Jiaxi Jiang

Papers from Shi Guo's perspective

Ordered by how strongly the researchers Shi Guo trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Toward Convolutional Blind Denoising of Real Photographs (2018) — 1,113 citations
• Efficient Long-Range Attention Network for Image Super-resolution (2022) — 455 citations
• Image-Adaptive YOLO for Object Detection in Adverse Weather Conditions (2021) — 605 citations