Zhihang Li

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 260 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 80 citations into it
• Generative Models — 37 citations into it
• Artificial Intelligence — 33 citations into it
• Optimization & Training — 7 citations into it
• Probabilistic & Bayesian Methods — 5 citations into it

Whom Zhihang Li trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Kaiming He
4. Alex Krizhevsky
5. Yann LeCun
6. Yoshua Bengio
7. Ross B. Girshick
8. Ilya Sutskever
9. Karen Simonyan
10. Jimmy Ba

Who trusts Zhihang Li overall

1. Guo-Jun Qi
2. Yuhui Yuan
3. Ari Heljakka
4. Xiang Wang
5. Yotam Nitzan
6. Gaurav Parmar
7. Martin Mundt

Papers from Zhihang Li's perspective

Ordered by how strongly the researchers Zhihang Li 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. Attention is All you Need (Neural Information Processing Systems)
5. ImageNet: A large-scale hierarchical image database
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis (2018) — 299 citations
• ACFNet: Attentional Class Feature Network for Semantic Segmentation (2019) — 301 citations