Zejian Li
Computer Vision and Pattern Recognition · 2021–2022
A researcher in the Science corpus: 2 papers; trusts 470 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 72 citations into it
- Artificial Intelligence — 37 citations into it
- Generative Models — 37 citations into it
- Meta & Continual Learning — 17 citations into it
- Optimization & Training — 13 citations into it
- Model Architectures — 11 citations into it
- Representation & Self-Supervised Learning — 8 citations into it
Whom Zejian Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Alex Krizhevsky
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- Ross B. Girshick
- Ilya Sutskever
- Karen Simonyan
- Tianfu Wu
- Yann LeCun
Who trusts Zejian Li overall
Papers from Zejian Li's perspective
Ordered by how strongly the researchers Zejian Li 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)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Image Synthesis from Layout with Locality-Aware Mask Adaption (2021) — 89 citations
- Few-Shot Incremental Learning for Label-to-Image Translation (2022) — 11 citations