Chieh-Hsin Lai

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 1 paper; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 34 citations into it
• Generative Models — 30 citations into it
• Statistical and Nonlinear Physics — 16 citations into it
• Probabilistic & Bayesian Methods — 7 citations into it

Whom Chieh-Hsin Lai trusts overall

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

1. Yang Song
2. Alex Krizhevsky
3. Diederik P. Kingma
4. Geoffrey E. Hinton
5. Pascal Vincent
6. Yoshua Bengio
7. Kaiming He
8. Jonathan Ho
9. Ilya Sutskever
10. Yann LeCun

Who trusts Chieh-Hsin Lai overall

1. Tianwei Yin

Papers from Chieh-Hsin Lai's perspective

Ordered by how strongly the researchers Chieh-Hsin Lai trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Learning Multiple Layers of Features from Tiny Images
6. ImageNet: A large-scale hierarchical image database
7. ImageNet Large Scale Visual Recognition Challenge
8. Gradient-based learning applied to document recognition
9. Long Short-Term Memory
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion (2023) — 438 citations