Cuiling Lan

Computer Vision and Pattern Recognition · 2016–2021

A researcher in the Science corpus: 9 papers; trusts 1,051 researchers and is trusted by 46 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 389 citations into it; #3,876 of 21,575 by trust here, #2,872 by citations
• Artificial Intelligence — 240 citations into it; #8,968 of 35,345 by trust here, #7,172 by citations
• Biomedical Engineering — 116 citations into it; #343 of 10,734 by trust here, #1,237 by citations
• Representation & Self-Supervised Learning — 71 citations into it; #1,331 of 3,145 by trust here, #1,079 by citations
• Model Architectures — 59 citations into it; #798 of 2,278 by trust here, #827 by citations
• Human-Computer Interaction — 58 citations into it; #841 of 2,253 by trust here, #503 by citations
• 3D Vision & Pose — 26 citations into it
• Evaluation & Benchmarks — 23 citations into it

Whom Cuiling Lan trusts overall

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

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

Who trusts Cuiling Lan overall

1. Jun Liu
2. Pengfei Zhang
3. Pichao Wang
4. Yifan Zhang
5. C. Li
6. Amir Shahroudy
7. Qiuhong Ke
8. Chenyang Si
9. Yisheng Song
10. G. Wang

Papers from Cuiling Lan's perspective

Ordered by how strongly the researchers Cuiling Lan 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. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
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

• An End-to-End Spatio-Temporal Attention Model for Human Action Recognition from Skeleton Data (2016) — 1,062 citations
• Co-Occurrence Feature Learning for Skeleton Based Action Recognition Using Regularized Deep LSTM Networks (2016) — 926 citations
• View Adaptive Recurrent Neural Networks for High Performance Human Action Recognition from Skeleton Data (2017) — 619 citations
• Generalizing to Unseen Domains: A Survey on Domain Generalization (2021) — 1,790 citations
• View Adaptive Neural Networks for High Performance Skeleton-Based Human Action Recognition (2018) — 490 citations
• Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action Recognition (2019) — 543 citations
• Style Normalization and Restitution for Generalizable Person Re-Identification (2020) — 401 citations
• Relation-Aware Global Attention for Person Re-Identification (2019) — 590 citations
• Online Human Action Detection using Joint Classification-Regression Recurrent Neural Networks (2016) — 225 citations