Tong Yang

Computer Vision and Pattern Recognition · with Zhang · 2018–2022

A researcher in the Science corpus: 5 papers; trusts 730 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 153 citations into it; #13,062 of 21,575 by trust here, #5,161 by citations
• Artificial Intelligence — 103 citations into it; #30,396 of 35,345 by trust here, #9,870 by citations
• Model Architectures — 43 citations into it
• Optimization & Training — 15 citations into it
• Evaluation & Benchmarks — 13 citations into it
• Neurology — 6 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Tong Yang trusts overall

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

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

Who trusts Tong Yang overall

1. Kemal Oksuz
2. Xiaosong Zhang
3. Yimin Huang
4. Hang Xu
5. Feng Liang
6. Baris Can Cam
7. Yingfei Liu
8. Zhenguo Li
9. Yukang Chen
10. Zheng Ge

Papers from Tong Yang's perspective

Ordered by how strongly the researchers Tong Yang 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. 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

• MetaAnchor: Learning to Detect Objects with Customized Anchors (2018) — 151 citations
• DetNAS: Neural Architecture Search on Object Detection (2019) — 94 citations
• Anchor DETR: Query Design for Transformer-Based Detector (2022) — 603 citations
• DetNAS: Backbone Search for Object Detection (2019) — 289 citations
• You Only Look One-level Feature (2021) — 683 citations