Weiwei Shi

Computer Vision and Pattern Recognition · 2018–2020

A researcher in the Science corpus: 3 papers; trusts 67 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 52 citations into it
• Representation & Self-Supervised Learning — 15 citations into it

Whom Weiwei Shi trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Harri Valpola
4. Yann LeCun
5. Diederik P. Kingma
6. Ross B. Girshick
7. Kaiming He
8. Yoshua Bengio
9. L. V. D. van der Maaten
10. Ilya Sutskever

Who trusts Weiwei Shi overall

1. Yassine Ouali
2. Qizhe Xie
3. Ahmet Iscen
4. Paola Cascante-Bonilla
5. Mamshad Nayeem Rizve
6. Dong-Jin Kim
7. Xinyuan Chang
8. Eric Arazo
9. Liang-Chieh Chen
10. Céline Hudelot

Papers from Weiwei Shi's perspective

Ordered by how strongly the researchers Weiwei Shi 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. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Going deeper with convolutions

Their papers

• Transductive Semi-Supervised Deep Learning Using Min-Max Features (2018) — 240 citations
• Analogy-Detail Networks for Object Recognition (2020) — 9 citations
• Multi-Target Multi-Camera Tracking by Tracklet-to-Target Assignment (2020) — 124 citations