Yan Lu
Computer Vision and Pattern Recognition · with Li · 2018–2023
A researcher in the Science corpus: 3 papers; trusts 292 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 86 citations into it; #15,806 of 21,575 by trust here, #13,542 by citations
- Artificial Intelligence — 22 citations into it
- Signal Processing — 14 citations into it
- Generative Models — 8 citations into it
- Model Architectures — 6 citations into it
- Efficiency & Compression — 5 citations into it
Whom Yan Lu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Johannes Ballé
- Kaiming He
- David C. Minnen
- Ross B. Girshick
- Geoffrey E. Hinton
- Alex Krizhevsky
- Frank Bossen
- Yann LeCun
- François Chollet
- Diederik P. Kingma
Who trusts Yan Lu overall
Papers from Yan Lu's perspective
Ordered by how strongly the researchers Yan Lu trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Affinity Derivation and Graph Merge for Instance Segmentation (2018) — 111 citations
- Neural Video Compression with Diverse Contexts (2023) — 311 citations
- Deep Contextual Video Compression (2021) — 468 citations