Sanyuan Zhao

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 390 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 78 citations into it; #9,877 of 21,575 by trust here, #9,563 by citations
• Cognitive Neuroscience — 11 citations into it
• Model Architectures — 9 citations into it
• Sensory Systems — 9 citations into it
• Artificial Intelligence — 8 citations into it
• Human-Computer Interaction — 5 citations into it

Whom Sanyuan Zhao trusts overall

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

1. Wenguan Wang
2. Kaiming He
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Ross B. Girshick
6. Karen Simonyan
7. Diederik P. Kingma
8. Yoshua Bengio
9. Yann LeCun
10. Jitendra Malik

Who trusts Sanyuan Zhao overall

1. Wenguan Wang
2. Xiankai Lu
3. Jianbing Shen

Papers from Sanyuan Zhao's perspective

Ordered by how strongly the researchers Sanyuan Zhao 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Attention is All you Need (Neural Information Processing Systems)
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

• Learning Unsupervised Video Object Segmentation Through Visual Attention (2019) — 224 citations
• Pyramid Dilated Deeper ConvLSTM for Video Salient Object Detection (2018) — 461 citations