Yulong Cao
Computer Vision and Pattern Recognition · 2019–2021
A researcher in the Science corpus: 3 papers; trusts 105 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 60 citations into it
- Artificial Intelligence — 57 citations into it
- Safety, Robustness & Interpretability — 46 citations into it
- Aerospace Engineering — 23 citations into it
Whom Yulong Cao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Nicholas Carlini
- Diederik P. Kingma
- Geoffrey E. Hinton
- Alex Krizhevsky
- Christian Szegedy
- Ian J. Goodfellow
- Kaiming He
- Karen Simonyan
- Yoshua Bengio
- Yann LeCun
Who trusts Yulong Cao overall
Papers from Yulong Cao's perspective
Ordered by how strongly the researchers Yulong Cao 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
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions
Their papers
- Adversarial Sensor Attack on LiDAR-based Perception in Autonomous Driving (2019) — 667 citations
- Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attacks (2021) — 332 citations
- Towards Robust LiDAR-based Perception in Autonomous Driving: General Black-box Adversarial Sensor Attack and Countermeasures (2020) — 314 citations