Xiangyu He

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 451 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 123 citations into it
• Artificial Intelligence — 64 citations into it
• Model Architectures — 22 citations into it
• Biomedical Engineering — 20 citations into it
• Optimization & Training — 5 citations into it

Whom Xiangyu He trusts overall

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

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

Who trusts Xiangyu He overall

1. Elias Frantar

Papers from Xiangyu He's perspective

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

Their papers

• Skeleton-Based Action Recognition With Shift Graph Convolutional Network (2020) — 845 citations
• Towards Accurate Post-training Network Quantization via Bit-Split and Stitching (2020) — 159 citations
• SpatialFlow: Bridging All Tasks for Panoptic Segmentation (2019) — 33 citations