Bangzheng Li

Computer Vision and Pattern Recognition · 2024

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 46 citations into it

Whom Bangzheng Li trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Ross B. Girshick
4. Alex Krizhevsky
5. David G. Lowe
6. Diederik P. Kingma
7. Yoshua Bengio

Papers from Bangzheng Li's perspective

Ordered by how strongly the researchers Bangzheng Li 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. Attention is All you Need (Neural Information Processing Systems)
4. Microsoft COCO: Common Objects in Context
5. ImageNet: A large-scale hierarchical image database
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Language Models are Few-Shot Learners (Neural Information Processing Systems)
9. Gradient-based learning applied to document recognition
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• BLINK: Multimodal Large Language Models Can See but Not Perceive (2024) — 543 citations