Wei Liu

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

A researcher in the Science corpus: 2 papers; trusts 219 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 65 citations into it; #11,727 of 21,575 by trust here, #7,938 by citations
• Artificial Intelligence — 36 citations into it; #18,715 of 35,345 by trust here, #11,327 by citations

Whom Wei Liu trusts overall

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

1. Ross B. Girshick
2. Joseph Redmon
3. Kaiming He
4. Shaoqing Ren
5. Tsung-Yi Lin
6. Alex Krizhevsky
7. Geoffrey E. Hinton
8. Ali Farhadi
9. Yann LeCun
10. Christian Szegedy

Who trusts Wei Liu overall

1. Juan R. Terven
2. Siliang Ma
3. Chien-Yao Wang
4. Xue Yang
5. Zhaohui Zheng
6. Alexey Bochkovskiy

Papers from Wei Liu's perspective

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

Their papers

• Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression (2019) — 5,129 citations
• Enhancing Geometric Factors in Model Learning and Inference for Object Detection and Instance Segmentation (2020) — 1,369 citations