Wenlong Liao

Computer Vision and Pattern Recognition · with Yang · 2020

A researcher in the Science corpus: 1 paper; trusts 134 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 54 citations into it
• Artificial Intelligence — 13 citations into it

Whom Wenlong Liao trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Shaoqing Ren
4. Tsung-Yi Lin
5. Alex Krizhevsky
6. Geoffrey E. Hinton
7. Karen Simonyan
8. Xue Yang
9. Yann LeCun
10. X. Zhang

Papers from Wenlong Liao's perspective

Ordered by how strongly the researchers Wenlong Liao 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. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
4. ImageNet: A large-scale hierarchical image database
5. Microsoft COCO: Common Objects in Context
6. Going deeper with convolutions
7. Gradient-based learning applied to document recognition
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Long Short-Term Memory
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss Smoothing (2020) — 354 citations