Yongchao Gong

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 131 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 33 citations into it; #11,790 of 21,575 by trust here, #6,737 by citations
• Artificial Intelligence — 16 citations into it; #19,021 of 35,345 by trust here, #9,557 by citations

Whom Yongchao Gong trusts overall

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

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

Who trusts Yongchao Gong overall

1. Daniel Bolya
2. Yuxin Fang
3. Xinlong Wang
4. Deng-Ping Fan
5. Xiang-Yang Li

Papers from Yongchao Gong's perspective

Ordered by how strongly the researchers Yongchao Gong 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. Gradient-based learning applied to document recognition
4. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
9. Going deeper with convolutions
10. Microsoft COCO: Common Objects in Context

Their papers

• Mask Scoring R-CNN (2019) — 1,031 citations