Jingru Tan

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 2 papers; trusts 145 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 46 citations into it
• Artificial Intelligence — 30 citations into it
• Evaluation & Benchmarks — 8 citations into it
• Model Architectures — 8 citations into it

Whom Jingru Tan trusts overall

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

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

Who trusts Jingru Tan overall

1. Xingyi Zhou
2. Xiuye Gu
3. Shaoyu Zhang
4. Jiawei Ren
5. Jialian Wu
6. Jiequan Cui
7. Peng Wang
8. Vladlen Koltun
9. Wenwei Zhang
10. Tsung-Yi Lin

Papers from Jingru Tan's perspective

Ordered by how strongly the researchers Jingru Tan 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. ImageNet: A large-scale hierarchical image database
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
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. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Equalization Loss for Long-Tailed Object Recognition (2020) — 556 citations
• 1st Place Solution of LVIS Challenge 2020: A Good Box is not a Guarantee of a Good Mask (2020) — 19 citations