Yanzhao Zhou
Computer Vision and Pattern Recognition · 2017–2018
A researcher in the Science corpus: 2 papers; trusts 346 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 79 citations into it; #11,913 of 21,575 by trust here, #8,502 by citations
- Artificial Intelligence — 35 citations into it
- Model Architectures — 13 citations into it; #1,339 of 2,278 by trust here, #1,433 by citations
- Representation & Self-Supervised Learning — 6 citations into it
Whom Yanzhao Zhou trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Kaiming He
- David G. Lowe
- Geoffrey E. Hinton
- Ross B. Girshick
- Yoshua Bengio
- Piotr Doll'ar
- Karen Simonyan
- Yann LeCun
- Jifeng Dai
Who trusts Yanzhao Zhou overall
- Diego Marcos
- Daniel E. Worrall
- Osman Semih Kayhan
- Jian Ding
- Taco Cohen
- Erico Tjoa
- Jiaming Han
- Bowen Cheng
- Jiwoon Ahn
- Mickaël Chen
Papers from Yanzhao Zhou's perspective
Ordered by how strongly the researchers Yanzhao Zhou trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- 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
- Oriented Response Networks (2017) — 283 citations
- Weakly Supervised Instance Segmentation Using Class Peak Response (2018) — 294 citations