Xinghang Li

Computer Vision and Pattern Recognition · 2021–2023

A researcher in the Science corpus: 3 papers; trusts 109 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 61 citations into it
• Artificial Intelligence — 59 citations into it
• Reinforcement Learning — 26 citations into it
• Control and Systems Engineering — 10 citations into it
• Model Architectures — 9 citations into it
• Natural Language Processing — 6 citations into it

Whom Xinghang Li trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Brian Yamauchi
4. Alex Krizhevsky
5. Sepp Hochreiter
6. Yoshua Bengio
7. Diederik P. Kingma
8. Ilya Sutskever
9. Yann LeCun
10. Ross B. Girshick

Who trusts Xinghang Li overall

1. S. Gadre
2. Kiana Ehsani

Papers from Xinghang Li's perspective

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

Their papers

• Unleashing Large-Scale Video Generative Pre-training for Visual Robot Manipulation (2023) — 380 citations
• Vision-Language Foundation Models as Effective Robot Imitators (2023) — 418 citations
• Embodied Semantic Scene Graph Generation (2021) — 37 citations