Yuezun Li
Computer Vision and Pattern Recognition · 2018–2020
A researcher in the Science corpus: 7 papers; trusts 689 researchers and is trusted by 113 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 114 citations into it; #2,873 of 21,575 by trust here, #3,459 by citations
- Artificial Intelligence — 53 citations into it
- Generative Models — 41 citations into it
- Safety, Robustness & Interpretability — 28 citations into it; #1,496 of 2,251 by trust here, #1,133 by citations
- Model Architectures — 23 citations into it
- Signal Processing — 21 citations into it
- Optimization & Training — 11 citations into it
- Media Technology — 10 citations into it
Whom Yuezun Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Diederik P. Kingma
- Karen Simonyan
- Geoffrey E. Hinton
- Andrew Zisserman
- Alex Krizhevsky
- X. Zhang
- Yoshua Bengio
- Yann LeCun
- Sepp Hochreiter
Who trusts Yuezun Li overall
- Thanh Thi Nguyen
- Luisa Verdoliva
- Kaede Shiohara
- Brian Dolhansky
- Xin Yang
- Iacopo Masi
- Yong Zhang
- Honggu Liu
- Zhiyuan Yan
- Momina Masood
Papers from Yuezun Li's perspective
Ordered by how strongly the researchers Yuezun Li trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Exposing DeepFake Videos By Detecting Face Warping Artifacts (2018) — 1,204 citations
- Celeb-DF: A Large-Scale Challenging Dataset for DeepFake Forensics (2019) — 1,748 citations
- Celeb-DF: A New Dataset for DeepFake Forensics (2019) — 211 citations
- In Ictu Oculi: Exposing AI Created Fake Videos by Detecting Eye Blinking (2018) — 898 citations
- Exposing Deep Fakes Using Inconsistent Head Poses (2018) — 1,129 citations
- Invisible Backdoor Attack with Sample-Specific Triggers (2020) — 680 citations
- In Ictu Oculi: Exposing AI Generated Fake Face Videos by Detecting Eye Blinking (2018) — 305 citations