Lida Li

Computer Vision and Pattern Recognition · with Zhang · 2020–2021

A researcher in the Science corpus: 3 papers; trusts 582 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 111 citations into it
• Artificial Intelligence — 53 citations into it
• Model Architectures — 27 citations into it
• Optimization & Training — 11 citations into it

Whom Lida Li trusts overall

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

1. Kaiming He
2. Alex Krizhevsky
3. Ross B. Girshick
4. Geoffrey E. Hinton
5. Yoshua Bengio
6. Shaoqing Ren
7. Diederik P. Kingma
8. Yann LeCun
9. Karen Simonyan
10. Ilya Sutskever

Who trusts Lida Li overall

1. Jiyang Qi

Papers from Lida Li's perspective

Ordered by how strongly the researchers Lida Li 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. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
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

• Spatial Feature Calibration and Temporal Fusion for Effective One-stage Video Instance Segmentation (2021) — 61 citations
• Learning Image-Adaptive 3D Lookup Tables for High Performance Photo Enhancement in Real-Time (2020) — 363 citations
• SimAM: A Simple, Parameter-Free Attention Module for Convolutional Neural Networks (2021) — 1,765 citations