Yue Zhao
Computer Vision and Pattern Recognition · with Lin · 2017–2021
A researcher in the Science corpus: 4 papers; trusts 899 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 211 citations into it; #13,268 of 21,575 by trust here, #6,954 by citations
- Artificial Intelligence — 127 citations into it; #35,334 of 35,345 by trust here, #23,731 by citations
- Evaluation & Benchmarks — 31 citations into it
- Biomedical Engineering — 26 citations into it
- Model Architectures — 19 citations into it
- Endocrinology, Diabetes and Metabolism — 16 citations into it
- Human-Computer Interaction — 13 citations into it
Whom Yue Zhao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ross B. Girshick
- Kaiming He
- Karen Simonyan
- Geoffrey E. Hinton
- Andrew Zisserman
- Alex Krizhevsky
- Christian Szegedy
- Yoshua Bengio
- Yann LeCun
- Diederik P. Kingma
Who trusts Yue Zhao overall
- Jie Lei
- Humam Alwassel
- Phuc Xuan Nguyen
- Fabian Caba Heilbron
- Tianwei Lin
- Bowen Zhang
- Chen-Lin Zhang
- Tianhao Li
- Bernard Ghanem
- Hang Zhao
Papers from Yue Zhao's perspective
Ordered by how strongly the researchers Yue Zhao trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Temporal Action Detection with Structured Segment Networks (2017) — 982 citations
- Revisiting Skeleton-based Action Recognition (2021) — 724 citations
- Omni-sourced Webly-supervised Learning for Video Recognition (2020) — 105 citations
- FineGym: A Hierarchical Video Dataset for Fine-Grained Action Understanding (2020) — 441 citations