Zhipeng Bao

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 228 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 49 citations into it
• Artificial Intelligence — 35 citations into it
• Representation & Self-Supervised Learning — 18 citations into it
• Generative Models — 9 citations into it
• Computer Graphics and Computer-Aided Design — 8 citations into it
• Model Architectures — 6 citations into it
• Optimization & Training — 6 citations into it

Whom Zhipeng Bao trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Ross B. Girshick
4. Alex Krizhevsky
5. Oriol Vinyals
6. Yoshua Bengio
7. Diederik P. Kingma
8. Yann LeCun
9. Ilya Sutskever
10. Jia Deng

Papers from Zhipeng Bao's perspective

Ordered by how strongly the researchers Zhipeng Bao 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. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
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

• Bowtie Networks: Generative Modeling for Joint Few-Shot Recognition and Novel-View Synthesis (2020) — 11 citations