Shengkai Wu

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 2 papers; trusts 609 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 58 citations into it; #9,384 of 21,575 by trust here, #16,787 by citations
• Artificial Intelligence — 33 citations into it; #24,699 of 35,345 by trust here, #33,294 by citations
• Evaluation & Benchmarks — 7 citations into it

Whom Shengkai Wu trusts overall

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

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

Who trusts Shengkai Wu overall

1. Haoyang Zhang
2. Xiang-Yang Li
3. Feras Dayoub
4. Wenhai Wang
5. Niko Sünderhauf
6. Xiaolin Hu
7. Xiaoping Li

Papers from Shengkai Wu's perspective

Ordered by how strongly the researchers Shengkai Wu 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. 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

• IoU-aware Single-stage Object Detector for Accurate Localization (2019) — 201 citations
• IoU-balanced Loss Functions for Single-stage Object Detection (2019) — 117 citations