Leigang Qu

Computer Vision and Pattern Recognition · 2021–2023

A researcher in the Science corpus: 2 papers; trusts 252 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 102 citations into it
• Artificial Intelligence — 70 citations into it
• Multimodal Learning — 50 citations into it
• Natural Language Processing — 15 citations into it
• Representation & Self-Supervised Learning — 7 citations into it

Whom Leigang Qu trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Yoshua Bengio
5. Shaoqing Ren
6. Diederik P. Kingma
7. Ross B. Girshick
8. Yann LeCun
9. Ilya Sutskever
10. Tomas Mikolov

Papers from Leigang Qu's perspective

Ordered by how strongly the researchers Leigang Qu 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• NExT-GPT: Any-to-Any Multimodal LLM (2023) — 842 citations
• Dynamic Modality Interaction Modeling for Image-Text Retrieval (2021) — 225 citations