Songyang Zhang

Computer Vision and Pattern Recognition · with Yang · 2017–2022

A researcher in the Science corpus: 5 papers; trusts 358 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 164 citations into it; #13,436 of 21,575 by trust here, #12,992 by citations
• Artificial Intelligence — 86 citations into it
• Model Architectures — 36 citations into it
• Biomedical Engineering — 32 citations into it; #4,769 of 10,734 by trust here, #7,279 by citations
• Human-Computer Interaction — 20 citations into it; #1,823 of 2,253 by trust here, #1,386 by citations
• 3D Vision & Pose — 7 citations into it

Whom Songyang Zhang trusts overall

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

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

Who trusts Songyang Zhang overall

1. Zehua Sun
2. Jun Liu
3. Jie Lei
4. Pichao Wang
5. Wanqing Li
6. Shuai Li
7. Hao Zhou
8. Qiuhong Ke
9. Yueting Zhuang
10. Kevin Qinghong Lin

Papers from Songyang Zhang's perspective

Ordered by how strongly the researchers Songyang Zhang 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. Attention is All you Need (Neural Information Processing Systems)
5. ImageNet: A large-scale hierarchical image database
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. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Learning 2D Temporal Adjacent Networks for Moment Localization with Natural Language (2019) — 606 citations
• On Geometric Features for Skeleton-Based Action Recognition Using Multilayer LSTM Networks (2017) — 312 citations
• Fusing Geometric Features for Skeleton-Based Action Recognition Using Multilayer LSTM Networks (2018) — 163 citations
• Make-A-Video: Text-to-Video Generation without Text-Video Data (2022) — 2,111 citations
• Expanding Language-Image Pretrained Models for General Video Recognition (2022) — 522 citations