Tianhong Li

Computer Vision and Pattern Recognition · with Deng · 2024

A researcher in the Science corpus: 1 paper; trusts 102 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 32 citations into it
• Generative Models — 22 citations into it
• Artificial Intelligence — 20 citations into it
• Statistical and Nonlinear Physics — 7 citations into it
• Model Architectures — 6 citations into it
• Optimization & Training — 6 citations into it

Whom Tianhong Li trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Aäron van den Oord
4. Diederik P. Kingma
5. Alec Radford
6. Alex Krizhevsky
7. Yoshua Bengio
8. Jonathan Ho
9. Ilya Sutskever
10. Jimmy Ba

Who trusts Tianhong Li overall

1. Jingfeng Yao
2. Xun Huang
3. Tianwei Yin
4. Xinggang Wang

Papers from Tianhong Li's perspective

Ordered by how strongly the researchers Tianhong 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Autoregressive Image Generation without Vector Quantization (2024) — 691 citations