Yinjie Lei
Computer Vision and Pattern Recognition · 2014–2022
A researcher in the Science corpus: 4 papers; trusts 316 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 78 citations into it
- Artificial Intelligence — 70 citations into it
- Model Architectures — 18 citations into it
- Representation & Self-Supervised Learning — 16 citations into it
- Aerospace Engineering — 13 citations into it
- Natural Language Processing — 12 citations into it
- Efficiency & Compression — 9 citations into it
- Optimization & Training — 7 citations into it
Whom Yinjie Lei trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Alex Krizhevsky
- Yoshua Bengio
- Kaiming He
- Yann LeCun
- Ilya Sutskever
- David G. Lowe
- Ross B. Girshick
- Karen Simonyan
Papers from Yinjie Lei's perspective
Ordered by how strongly the researchers Yinjie Lei 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)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- ZegCLIP: Towards Adapting CLIP for Zero-shot Semantic Segmentation (2022) — 313 citations
- Contextualize Knowledge Bases with Transformer for End-to-end Task-Oriented Dialogue Systems (2020) — 22 citations
- Overcoming Long-Term Catastrophic Forgetting Through Adversarial Neural Pruning and Synaptic Consolidation (2019) — 47 citations
- Recognizing Objects in 3D Point Clouds with Multi-Scale Local Features (2014) — 27 citations