Shiqi Wang

Computer Vision and Pattern Recognition · with Ding · 2020

A researcher in the Science corpus: 1 paper; trusts 171 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 41 citations into it
• Media Technology — 14 citations into it
• Artificial Intelligence — 7 citations into it
• Generative Models — 7 citations into it
• Evaluation & Benchmarks — 6 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Shiqi Wang trusts overall

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

1. Zhou Wang
2. Diederik P. Kingma
3. Eero P. Simoncelli
4. David G. Lowe
5. Alex Krizhevsky
6. Geoffrey E. Hinton
7. Karen Simonyan
8. Yann LeCun
9. Yoshua Bengio
10. Ilya Sutskever

Papers from Shiqi Wang's perspective

Ordered by how strongly the researchers Shiqi Wang 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. 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

• Image Quality Assessment: Unifying Structure and Texture Similarity (2020) — 1,428 citations