Ronghua Liang

Computer Vision and Pattern Recognition · with Chen · 2021–2023

A researcher in the Science corpus: 2 papers; trusts 336 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 75 citations into it
• Artificial Intelligence — 26 citations into it
• 3D Vision & Pose — 22 citations into it
• Computational Mechanics — 16 citations into it
• Model Architectures — 9 citations into it

Whom Ronghua Liang trusts overall

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

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

Papers from Ronghua Liang's perspective

Ordered by how strongly the researchers Ronghua Liang 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. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
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

• AFPN: Asymptotic Feature Pyramid Network for Object Detection (2023) — 391 citations
• 3D Instance Segmentation of MVS Buildings (2021) — 32 citations