Weidong Hu

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 435 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 81 citations into it; #16,794 of 21,575 by trust here, #13,815 by citations
• Artificial Intelligence — 39 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom Weidong Hu trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Piotr Doll'ar
4. Alex Krizhevsky
5. Geoffrey E. Hinton
6. Tsung-Yi Lin
7. Shaoqing Ren
8. Diederik P. Kingma
9. Jia Deng
10. Karen Simonyan

Who trusts Weidong Hu overall

1. Irtiza Hasan

Papers from Weidong Hu's perspective

Ordered by how strongly the researchers Weidong Hu 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• High-Level Semantic Feature Detection: A New Perspective for Pedestrian Detection (2019) — 395 citations
• Learning Efficient Single-Stage Pedestrian Detectors by Asymptotic Localization Fitting (2018) — 243 citations