Meng Lei

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 65 citations into it

Whom Meng Lei trusts

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

1. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
2. Andrew Zisserman (in Computer Vision and Pattern Recognition)

Papers from Meng Lei's perspective

Ordered by how strongly the researchers Meng Lei trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet Large Scale Visual Recognition Challenge
2. Learning Multiple Layers of Features from Tiny Images
3. Language Models are Few-Shot Learners (Neural Information Processing Systems)
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. ImageNet classification with deep convolutional neural networks
6. Attention is All you Need (Neural Information Processing Systems)
7. From image descriptions to visual denotations: New similarity metrics for semantic inference over event descriptions
8. Gradient-based learning applied to document recognition
9. Long Short-Term Memory
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• LVLM-EHub: A Comprehensive Evaluation Benchmark for Large Vision-Language Models (2023) — 280 citations