Yu Xiong

Computer Vision and Pattern Recognition · with Li · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 427 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 117 citations into it; #10,256 of 21,575 by trust here, #2,117 by citations
• Artificial Intelligence — 63 citations into it
• Model Architectures — 15 citations into it
• Optimization & Training — 7 citations into it

Whom Yu Xiong trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Geoffrey E. Hinton
4. Tsung-Yi Lin
5. Alex Krizhevsky
6. Piotr Doll'ar
7. Shaoqing Ren
8. Andrew Zisserman
9. Yoshua Bengio
10. Yann LeCun

Who trusts Yu Xiong overall

1. Jiaming Han
2. Yu Li
3. Kai Chen
4. Hao Zhang
5. Feng Li
6. Wenwei Zhang
7. Ze Liu
8. Deng-Ping Fan
9. Jianwei Yang
10. Wenhai Wang

Papers from Yu Xiong's perspective

Ordered by how strongly the researchers Yu Xiong 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. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Hybrid Task Cascade for Instance Segmentation (2019) — 1,537 citations
• MMDetection: Open MMLab Detection Toolbox and Benchmark (2019) — 3,471 citations
• MovieNet: A Holistic Dataset for Movie Understanding (2020) — 319 citations