Qingli Li

Computer Vision and Pattern Recognition · 2013–2023

A researcher in the Science corpus: 4 papers; trusts 223 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 67 citations into it
• Artificial Intelligence — 41 citations into it
• Multimodal Learning — 10 citations into it
• Model Architectures — 9 citations into it
• Representation & Self-Supervised Learning — 8 citations into it
• Optimization & Training — 7 citations into it

Whom Qingli Li trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Ross B. Girshick
5. Yoshua Bengio
6. Diederik P. Kingma
7. Kaiyang Zhou
8. Yann LeCun
9. Ilya Sutskever
10. X. Zhang

Papers from Qingli Li's perspective

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

Their papers

• Bidirectional Copy-Paste for Semi-Supervised Medical Image Segmentation (2023) — 340 citations
• CLIP-ReID: Exploiting Vision-Language Model for Image Re-Identification without Concrete Text Labels (2022) — 411 citations
• The importance of short lag-time in the runoff forecasting model based on long short-term memory (2020) — 81 citations
• Review of spectral imaging technology in biomedical engineering: achievements and challenges (2013) — 389 citations